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Pricing — AI news & analysis
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Every Pick Right story tagged pricing — 73 articles, newest first. All news →
OpenAI gives GPT-4o and GPT-4.1 92 days — half the notice the same family got in April
On 14 October 2026 OpenAI deprecated the last GPT-4o, GPT-4o mini, GPT-4.1 and GPT-4.1 mini snapshots with a 14 January 2027 shutdown — 92 days, against the 184 days the gpt-4o-2024-05-13 snapshot got in April and against OpenAI's own published floor of 'at least 6 months' for generally available models. The same day, GPT-5.5 left the ChatGPT, ChatGPT Work and Codex model pickers on every plan, five months after becoming the default. Fine-tuned models follow their base model out.
Read story →Cursor's $20 plan is gone — and the models most Cursor users run left the usage pool
On 12 October 2026 SpaceXAI merged Grok, Cursor and X Premium into one five-tier ladder: Free, Plus $8, Premium $30, Super $100, Ultra $200. Cursor Pro at $20 is closed to new signups. The headline is a price cut, but the shared usage pool now covers Grok models only — Claude and GPT in the Cursor editor moved to pass-through API billing on Premium and above. For a developer whose daily driver is Sonnet, a flat $20 bill becomes $30 plus metered tokens.
Read story →Google retired two Gemini Flash models by rerouting them, not by failing them
Google's Gemini API changelog for 8 October 2026 deprecated gemini-3.5-flash and gemini-3.7-flash, and said every request to both is automatically routed to a different model. Both IDs are gone from the models page and the pricing page, and the deprecations page rows that cover them carry no date for when any of it happened. The bill does not change; what changes is that pinning a Gemini model ID no longer pins a model.
Read story →OpenAI's fastest tier reached Europe on 8 October — on every model except the flagship
On 8 October 2026 OpenAI shipped Ultrafast for GPT-6.1 Sol at $12/$60 per million tokens, six times standard, and became the first OpenAI speed tier purchasable under EU data residency. GPT-6 Astra's Ultrafast remains global-and-US-only at $60/$300. For a European buyer that turns latency from a price decision into a model decision: you can buy speed, but only on the model one point below the flagship.
Read story →Claude Haiku 5.5 is a tenth of Haiku 4.5's price — until your prompt passes 100,000 tokens, where it costs five times more
On 7 October 2026 Anthropic launched Claude Haiku 5.5 at $0.10/$0.50 per million tokens and cut Sonnet 5.5's cache read from $0.20 to $0.10. Haiku 5.5 is the first Claude model priced by prompt length: above 100,000 tokens every rate multiplies by five — the steepest long-prompt surcharge any major vendor charges, at the lowest threshold. Because the cliff is measured in Anthropic's newer tokenizer, it arrives at about 77,000 Haiku-4.5-equivalent tokens.
Read story →Mistral's new flagship costs less than its own mid-tier — and the price on the model card is a sale with no published end date
Mistral Large 4 launched 6 October 2026 at a list price of $1.36 input and $4.18 output per million tokens. Mistral Medium 3.5, the mid-tier it sits above, is $1.50 and $7.50. The flagship is cheaper on both ends with four times the context, which retires Medium 3.5 as a purchase. The number the model card actually shows today is half the list — $0.68 and $2.09 — struck through against the higher rate, and Mistral has not published the date the discount ends.
Read story →Google is paywalling a Gemini model its own Flash overtook in May — and charging $4.99 subscribers nothing for the privilege of losing it
From 9 October 2026 the free Gemini app drops to Flash-Lite only, and Google AI Plus subscribers lose the Pro model on a date Google will email them individually rather than publish. The Pro model in question is Gemini 3.1 Pro, which Google's own Gemini 3.5 Flash passed on benchmarks at I/O in May. The headline downgrade costs paying subscribers almost nothing. The free-tier cut is the one that matters, because it removes the only way to evaluate Gemini without a card.
Read story →Microsoft bought the transcription accuracy crown at 3x the price floor — and the price expires in 89 days
On 1 October 2026 Microsoft AI shipped MAI-Transcribe-2-Streaming, its first streaming speech-to-text model, and claims the no. 1 accuracy rank on Artificial Analysis for both final and partial transcripts. It costs $0.54 per audio-hour — three times Meta's $0.18 streaming rate — and that $0.54 is explicitly an introductory price 'through the end of the year', with no successor rate published. The two voice models launched alongside it are the more interesting purchase — though not the cheapest, as first reported.
Read story →Claude Sonnet 4.5 has 61 days to live, and the replacement Anthropic names is 13% cheaper — not 33%
On 30 September 2026 Anthropic deprecated claude-sonnet-4-5-20250929 with retirement set for 30 November — 61 days, one day over the 60-day minimum its own policy promises, and the fifth consecutive deprecation to land within two days of that floor. The recommended replacement drops the list price from $3/$15 to $2/$10, but Sonnet 5.5 runs a tokenizer that produces about 30% more tokens for the same text. Net effective saving: about 13%.
Read story →ChatGPT's new $500 tier did not raise any price — it deleted the only volume discount OpenAI sold
At DevDay on 29 September 2026 OpenAI launched ChatGPT Pro 500 at $500 a month with 25x the Plus allowance, reopened Pro 200, and halved Pro 200's included usage from 20x to 10x effective 30 October. Run the division: every plan in the lineup now costs exactly $20 per unit of Plus allowance. The old Pro 200 was the single exception at $10, and it is the thing that was discontinued.
Read story →GPT-6.1 Sol and Claude Sonnet 5.5 both cost $2/$10, land a day apart, and bill an order of magnitude differently
OpenAI shipped GPT-6.1 Sol at DevDay on 29 September 2026 at $2 per million input tokens and $10 per million output — the same list price Anthropic set for Claude Sonnet 5.5 the day before. The identical headline hides a 2x gap in cache reads, a 272K-token surcharge cliff on one side and none on the other, and independent per-task costs that differ by more than 10x. The rate card has stopped being the number that decides the bill.
Read story →Claude Sonnet 5.5 costs exactly what Sonnet 5 cost — and breaks five things on the way in, plus a sixth that raises no error
Anthropic shipped Claude Sonnet 5.5 on 28 September 2026 at $2/$10 per million tokens, identical to Sonnet 5, with a one-line model ID swap as the headline migration. The docs list five breaking changes behind that line — disabled thinking, forced tool use, thinking-block binding, the old computer use tool, and advisor pairings — and a sixth that changes the response shape without failing any request. The free upgrade has a migration bill.
Read story →Anthropic now bills refusals that return nothing — in the three categories where its own docs say benign work gets caught
On 24 September 2026 Anthropic resumed billing for Claude API refusals that arrive before any output, in three of five categories: bio, frontier_llm and reasoning_extraction. You pay the full input rate for an empty response, the request still consumes rate limit, and when fallback is enabled you now pay for the refused attempt and the retry. Anthropic's own category table says beneficial life sciences work and benign machine learning work can trigger two of the three billed categories, and no false-positive rate has been published.
Read story →Fireworks priced Ember-1 identically to Kimi K3 — the discount is in the token count, and it expires in two weeks unless enough people use it
Fireworks released Ember-1 on 23 September 2026, a Kimi K3 derivative billed at exactly K3's serverless rate: $3 input, $0.30 cached, $15 output per million tokens. The claimed saving is 35-50% shorter reasoning, so the entire discount lives in token volume rather than the rate card — unverifiable from any pricing page, and shrinking to near zero on input-heavy workloads. It also ships as a two-week research preview that becomes permanent only on community demand.
Read story →OpenAI's oldest API surface runs out of models on Monday — and its own docs disagree about when your legacy fine-tunes die
On 28 September 2026 OpenAI shuts down gpt-3.5-turbo-instruct, davinci-002, babbage-002 and gpt-3.5-turbo-1106. The first three are the only models the legacy /v1/completions endpoint serves, so the endpoint does not get a replacement — it gets zero inhabitants. The deprecation table maps all four onto gpt-5.6-terra, a reasoning model on a different API surface at six times the output price, with no echo, no suffix, no best_of and no raw log-probabilities. And OpenAI's stated rule for fine-tunes contradicts its own shutdown date by 25 days.
Read story →Google's agent SDK will now run on your own GPU for nothing — the bill just moved from the meter to the VRAM
On 23 September 2026 Google added local model execution to the Antigravity SDK: agent loops running fully offline on LiteRT with Gemma 4 26B A4B, plus plug-and-play support for any OpenAI-compatible server including Ollama, LM Studio and vLLM. Zero token cost, no network. The entry fee is more than 24GB of VRAM or unified memory, and Google's own hybrid demo still sent 2.8% of tokens to the cloud — the 2.8% that does the planning.
Read story →Google gave the AI avatar a face and didn't give it a price — that's the part to plan for
Gemini 3.8 Live with Live Avatar went generally available in Gemini Enterprise on 24 September 2026, adding real-time lip-synced video to Google's speech-to-speech stack across 97 languages with US and EU endpoints. The audio still bills at $3/$12 per million tokens — about $0.011 a conversational minute. The video bills at nothing, because Google has not published a rate for it. HeyGen charges $0.10–$0.20 a minute for the same pixels. An unpriced line item on a GA enterprise product is a forward liability, not a discount.
Read story →Alibaba just dropped speech-to-text through the price floor — and changed the meter on the way down
Qwen-Audio-3.1 landed at the Apsara Conference on 22 September 2026 with five models and cuts of ~70% on TTS, ~85% on Realtime and up to 95% on ASR. Worked against Qwen's own 25-tokens-per-second audio rate, recognition lands near $0.016 per audio-hour — roughly a tenth of the floor Deepgram, AssemblyAI and Meta had held for years. The catch is that the meter moved from audio-seconds to tokens on the same day, two of the five models have no API yet, and the rate card is not on the international pricing page.
Read story →Google's new voice models undercut everyone — but the headline feature is unavailable in the EU, and the price doubles on 1 January
Google shipped Gemini 3.8 Flash TTS and Flash-Lite TTS on 23 September 2026 at $9 and $6 per million audio tokens, roughly a third of ElevenLabs. Both rates double on 1 January 2027, the same date the rest of the Flash line resets. Voice replication, the feature the launch leads with, is blocked in the EEA, the UK, Switzerland, Illinois, Texas and India. And Google's #1 claim is measured on a benchmark built by a company whose founder now works at Google DeepMind.
Read story →OpenAI halved the price of GPT-6 Sol — and doubled the premium on its own flagship without touching Astra's price
OpenAI shipped GPT-6 Sol at $2/$10 and GPT-6 Luna at $0.10/$0.50 on 22 September 2026, a flat 50% cut against the GPT-5.6 tier. Astra did not move. Nineteen days ago Astra cost 2.5x Sol on every line item and OpenAI defended that with price-per-task; today it costs exactly 5x, and on OpenAI's own automation chart Astra at low effort scores below Sol at xhigh. Plus the effort-default gap every headline number in this launch is measured through.
Read story →Claude Opus 5.5 is 20% cheaper on the rate card and 40% cheaper in the press release — the gap is a default setting
Anthropic released Claude Opus 5.5 on 22 September 2026 at $4 input and $20 output per million tokens, down from Opus 5's $5/$25, with cache reads cut from $0.50 to $0.20. The headline claim is 40% cheaper to run. The rate card only accounts for about half of that; the rest comes from a default effort level that dropped from high to medium. Meanwhile cyber-flagged requests fall back to Opus 4.8 and bio-flagged ones to Opus 5 — both billed at $5/$25, more per token than the model you selected.
Read story →Xiaomi's MiMo-V2.6-Pro tops the open-weights index under an MIT licence — and ships the RL code, which is the part that matters
On 21-22 September 2026 Xiaomi released MiMo-V2.6-Pro: 1.02T total parameters, 42B active, natively omnimodal, 1M context, MIT licence, $0.435 input and $0.87 output per million tokens. It scores 46 on Artificial Analysis' Intelligence Index — the highest open-weights result, level with Grok 4.7 at xHigh effort, which shipped the day before at $2/$6 with no weights. The score is not the news. Xiaomi also published the technical report, the RL training environments and the training code, one day after Alibaba moved a flagship image model to a research-only licence.
Read story →Grok 4.7 keeps the $2/$6 rate card and changes the thing the rate card doesn't measure — a bigger base model, trained to work longer
SpaceXAI shipped Grok 4.7 on 21 September 2026 at $2 input and $6 output per million tokens, identical to Grok 4.6, and says it is 'served at the same price and speed.' It is also a new, larger base model trained with a longer RL run weighted toward multi-hour problems, and every score in its column is measured at xHigh effort where 4.6's column says High. A flat per-token price and more tokens per task is not a flat bill. The one chart on the launch page that plots score against average cost per task is the one with no numbers on it.
Read story →Anthropic stopped charging for Claude Code's safety classifier — unless your LLM gateway drops one request field
Claude Code 2.1.278, released 19 September 2026, moves auto mode's safety classifier server-side and stops billing for it on the Claude API, Enterprise plans, Bedrock, Google Cloud's Agent Platform and Microsoft Foundry. Eligibility is not a plan entitlement — it is a property of your network path. A gateway that strips the safeguards request field or the safeguard_results response key silently drops you back onto the billed classifier. Here is who pays, what to check, and why this failure mode will keep happening.
Read story →Claude Code Projects runs every thread on Opus at high effort — Anthropic's own docs call that the setting that 'draws on your plan fastest'
On 17 September 2026 Anthropic put Claude Code Projects into public beta on Pro and Max: one conversation, a coordinator, and parallel cloud threads that each clone your repo. The default is Opus at high effort on every thread, which the docs say draws on your plan fastest. There is no concurrency cap — a thread limit you ask for is 'a preference rather than a cap' — and a thread that hits your limit waits and resumes into your next usage window without telling you. Four days after the 17% weekly-limit cut against a base Anthropic has never published.
Read story →SpaceXAI's X Search meter moves from calls to results on 21 September — and the number you now pay for is one the model picks, not you
From 21 September 2026 at 12:00 PM PT, X Search bills $5 per 1k posts fetched and $10 per 1k user profiles fetched, replacing $5 per 1k calls. Break-even is exactly one post per call, so any real search is a price increase. Parent and quoted posts count too — results pulled in by thread structure rather than by your query — and the published tool parameters include no way to cap how many results come back. The token row on the Grok rate card did not move. The part of the bill you can forecast did.
Read story →Salesforce moved the reasoning into Claude — and the meter that would bill it is three blank lines on its own rate card
AIforce, announced at Dreamforce on 15 September, puts Salesforce inside Claude through a prebuilt MCP server with 37 sales skills. The reasoning now happens on Anthropic's side, which means Anthropic's meter runs and Salesforce's mostly does not. Salesforce's own Flex Credits rate card already names the three usage types that would bill this traffic — Headless Platform Interaction, Record Operation, Process Invocation — and lists all three as TBA, unmetered, with 30 days' notice before that changes.
Read story →Anthropic shipped on-demand compaction on 14 September — and the usage field your cost dashboard reads is no longer the bill
The Messages API can now compact a conversation on request, in the background, keeping recent turns verbatim. Useful. The part nobody put in a headline is in the billing note: usage.input_tokens and usage.output_tokens explicitly exclude the compaction iteration. In Anthropic's own worked example the top-level fields report 23,000 input tokens against 203,000 actually billed. Every FinOps script built on those two fields now undercounts, silently, on exactly the requests that cost the most.
Read story →Anthropic's 80% inference margin went public the same weekend your Claude Code seat got 17% smaller
On 13 September the FT reported Anthropic told shareholders it expects a second consecutive quarter of adjusted operating profit, with gross margins above 80% before revenue share and training costs. On 14 September the Claude Code weekly-limit cut took effect. The two facts are not in tension — they are the same decision seen from opposite ends, and they arrive while Anthropic prepares a listing reportedly targeting a $2 trillion valuation.
Read story →Claude Code's weekly limits drop 17% tomorrow — and Anthropic has never published the number they are a percentage of
On 14 September 2026 Anthropic makes a 25% weekly-limit increase permanent for Claude Code on Pro, Max, Team and seat-based Enterprise. Measured against the temporary 50% boost in force since May, it is a 17% cut. Both figures are arithmetically correct, which is the actual finding: Anthropic has published no absolute weekly token figure before, during or after the promotion, so a subscription seat's capacity is a percentage of a number only the vendor can see.
Read story →Cognition's SWE-2 is 64% cheaper than a number it published for someone else — and it loses the one benchmark Devin is sold for
SWE-2 shipped into Devin on 10 September 2026, scoring 50.0% on FrontierCode 1.1 Main against Fable 5.1's 50.9% at a claimed 64% lower cost. Every dollar figure in the launch belongs to a competitor: Cognition publishes Fable 5.1 Medium at $3.28 per task and gives SWE-2 no rate card, no API and no model card, because it exists only inside Devin's ACU billing. And on Terminal-Bench 4 — long-horizon agentic work, which is what Devin is for — SWE-2 scores 27.3% against 55.8% and 57.9%.
Read story →Salesforce shipped agents that work for weeks onto a meter that bills by the action — and put the cost controls in fiscal 2028
Over 10-11 September Salesforce closed its $3.6B Fin acquisition months early, previewed a Trusted Enterprise AI Harness to govern every agent in the enterprise, and made six of seven named Agentforce agents generally available on a new long-horizon runtime. The agents that spend are live now. The AI Control Plane that manages cost begins rolling out in early fiscal 2028. Salesforce published no price for any of the seven, and no guidance on how many billable actions a week-long autonomous goal consumes.
Read story →The $1 government ChatGPT deal ends on 30 September — and the replacement has no spend cap, no minimum, and no budget line anyone has written yet
GSA and OpenAI announced a 27-month OneGov agreement on 10 September: the $1-per-agency pilot expires, and from 1 October agencies pay metered token rates at 50% off, with the $15 per-user licence waived entirely. Eligibility widens from federal to state, local and tribal — roughly 23 million people. The structure removes every friction that would generate a budget signal, and neither GSA nor OpenAI has described a spend control. Also included: Daybreak Blue at half price for every verified government entity.
Read story →Sakana priced Fugu Max 60% under the frontier — but the meter counts the agents talking to each other, and that is 5-12x the tokens you see
Sakana AI shipped Fugu Max at $2/$6 and Fugu Ultra v2 at $5/$30 on 11 September, undercutting Sonnet 5 and Opus 5 on output. The catch is in the usage object: Fugu bills orchestration tokens — the internal planning, delegation and verification traffic — at full rates, and independent measurement of Fugu Ultra v1 put that overhead at 5x to 12x the visible output. That moves Fugu Max's effective cost to roughly $24-$61 per million useful output tokens. Also: no EU/EEA availability, and routing is undisclosed by design.
Read story →GPT-Live-1 didn't just cut the price of voice — it changed the meter, and that decides which calls got cheaper
OpenAI shipped full-duplex voice to the API on 10 September at a flat $0.05 per minute, billed per second, replacing token-metered realtime pricing that ran $0.06–$0.11 a minute. Flat wall-clock billing makes dense conversations cheaper and silence expensive — the opposite of what you were optimizing for. And $0.05 is only the mouth: reasoning is a separate backend bill that swings a ten-minute call from $0.60 to $1.40.
Read story →OpenAI re-hosted the agent layer it spent a year un-hosting — and priced the harness at zero, which is the part that spends your money
The Agents API went to public beta on 10 September with no fee of its own: you pay tokens, tools and container hours. But the free harness is the component that decides how many tokens you burn — it owns compaction, recovery and subagent spawning. Meanwhile sandboxes bill by wall-clock, so the 'runs for days' pitch and the meter point in opposite directions. And in beta it is US-only with no zero-data-retention.
Read story →DeepSeek is retiring its flagship by routing it away — and on 14 September anyone still calling V4-Pro gets a reasoning downgrade with the price cut
V4.1-Flash launched 10 September at up to 86% below V4-Pro, with deepseek-v4-pro due to route to it on 14 September. Updated 14 September: DeepSeek reversed the retirement and V4 Pro API service continues with billing unchanged, while the superseded routing notice is still live in its release notes. Flash beats Pro on agent benchmarks and loses on reasoning — so the migration was always a capability trade, not a discount. And the peak-hour windows charge European mornings double while US working hours sit entirely off-peak.
Read story →OpenAI published the first itemized bill for a 10,000-agent swarm — and the $22.5M everyone quoted counts output tokens only
The Navier-Stokes sprint burned 300 billion output tokens across a week and 130 billion on one problem. The widely-reported $22.5M is exactly 300B at $75 per million — Astra's above-272K output rate, with no input, no cache writes. It is a floor, not a bill. But it is also the first agent swarm with published unit counts, which means you can finally price a fleet with arithmetic.
Read story →Meta priced Muse at exactly what its rivals charge — so the only variable left is the sandbox, and Meta's own safety rule says not to ship this one
Muse launched 8 September at $20 and $100, matching Claude Cowork and Gemini Spark to the dollar. That makes containment the entire decision. Meta built the most elaborate consumer agent sandbox yet — per-user VM, eBPF egress gating, surrogate credentials — and by Meta's own published Agents Rule of Two, Muse is the exact configuration the rule tells you to avoid.
Read story →OpenAI shipped two image models at one price — so the model name is not your cost decision, and the parameter that is swings 35x
GPT Image 2.5 arrived on 8 September as Flare and Sunburst, and OpenAI held token pricing flat against gpt-image-2. That means picking a model moves your bill by nothing on the rate card. The quality parameter moves it from $0.006 to $0.211 per image — and it defaults to auto.
Read story →Mistral raised €3B to build compute it already sold. For EU buyers it is now the only in-region priority tier you can put a price on
Mistral's €3 billion Series D at a €21bn valuation is Europe's largest equity round ever. The buyer-relevant part is not the money — it is that Mistral sells EU-resident inference with a Priority Tier at 1.75x list and a 99.5% uptime SLA, in the same month OpenAI confirmed GPT-6 Astra offers no fast or priority tier under EU data residency at any price. The catch: the capacity is pre-sold on five-year terms and mostly not built.
Read story →OpenAI's median researcher spends $600 a day on inference. That is what the 3.1x costs — and it is a purchase, not a breakthrough.
OpenAI says it hit its 'automated research intern' milestone and published the internal numbers: 3.1 agent-workdays per human workday, a median researcher running more than $600/day of inference at API prices, and a 90th percentile past $7,000/day. Annualised, that is roughly $150,000 per head in tokens alone. The leverage is real. It is also bought, at a price that reprices every 'agents replace engineers' business case.
Read story →OpenAI shipped three new Astra API primitives. Only one has money attached, and OpenAI's own Codex client does not use it
GPT-6 Astra's Responses API gained async tool calling, mid-turn steering and cache-preserving reasoning-effort changes on 3 September 2026. The third one is the only one with a price behind it: Astra bills cache writes at $12.50 per million tokens against $1.00 for cache reads, so changing effort the obvious way costs 12.5x more than changing it via configuration_update. An open bug in OpenAI's own Codex client says it still changes effort the obvious way.
Read story →Google's Lyria 3.5 costs four times what a Suno song costs — and it is still the only frontier music model a developer can actually buy
Google shipped Lyria 3.5 to the Gemini app and opened the Gemini API at $0.08 per song. That is 4x Suno Pro's effective per-song rate. It reads like a losing price until you notice Suno has never sold a public API, and that every Lyria output carries a SynthID mark while Suno's watermarking is still rolling out.
Read story →EU buyers pay 10% more for GPT-6 Astra and cannot buy the fast tier at any price — and on Azure they cannot buy Astra in Europe at all
OpenAI's own docs say GPT-6 Astra does not support service_tier fast or priority with EU data residency. Microsoft shipped Astra to Foundry in Global and US Data Zone only. Residency has been a 10% surcharge for months; with Astra it became a capability tier you are locked out of, and the launch changelog never mentioned it.
Read story →Alibaba took the top coding-arena slot with a post-training update and no price rise. The lead is three Elo points; the price gap is 8x.
Qwen3.8-Max-0902 shipped on 2 September 2026 — same 2.4T parameters, same 1M context, same $2/$6 per million tokens. TerminalBench 3.0 went from 11.3 to 29.0 and the model now sits first on Code Arena WebDev, three points above Claude Opus 5 Max. Three Elo points is noise. The 22-point jump over its own predecessor is not, and neither is paying $6 per million output where GPT-6 Astra charges $50.
Read story →OpenAI says stop pricing tokens and price the task. Run the arithmetic and GPT-6 Astra has to be 5.8x more efficient to justify its own launch claim
GPT-6 Astra shipped on 3 September 2026 at $10/$50 per million tokens — exactly 2.5x GPT-5.6 Sol on every single line item. OpenAI's defence is that token pricing is the wrong unit and Astra costs ~57% less per task. That is a testable claim, and the test is arithmetic: a 2.5x price with a 57% saving requires 5.8x fewer tokens per task. Here is what that implies, plus the 272K cliff that dual-prices the 1.05M context window.
Read story →Meta shipped its best model yet with the weights still missing — and a price sheet that says what your data is worth
Muse Spark 1.3 landed on 2 September 2026 as a genuine frontier contender: #6 on the Artificial Analysis Intelligence Index, 98.1% long-context retrieval at 512k–1M, better than Opus 5 on three coding benchmarks. It is also closed. Muse Spark 1.2's promised open weights, pledged on 10 August as 'coming weeks', are still not out. What Meta shipped instead is a two-tier price sheet: $1.25/$4.25 to keep your data, or $0.10/$0.20 to hand it over. That gap is Meta's own valuation of your traffic — about $1.63 per million tokens.
Read story →Gemini 3.8 Flash is Google's fourth Flash model in under four months — and every one of them doubles in price on the same day
Google shipped Gemini 3.8 Flash on 2 September 2026 at an introductory $0.75/$3.75 per million tokens. That is the identical price, with the identical expiry, that 3.7 Flash launched with three weeks earlier. The discount does not follow the model — it follows the calendar. On 1 January 2027 every Gemini Flash rate doubles at once, which means upgrading to the newest Flash buys you exactly zero additional runway. Here is the arithmetic and what to budget.
Read story →Anthropic did not cut the price of Claude Fable 5.1 — it cut the price of one line item, and only your workload decides whether that helps
Claude Fable 5.1 and Mythos 5.1 launched on 1 September 2026 with base pricing untouched at $10/$50 per million tokens. The only price that moved is cache reads: $1.00 to $0.25, a 75% cut that breaks Anthropic's own uniform 0.1x caching multiplier for exactly two models. The advertised '25% typical, up to 45% agentic' saving is therefore a claim about the shape of your traffic, not about the model. Here is the arithmetic, including the point where Fable 5.1 becomes cheaper than Opus 5 — and the breaking API changes that come with the upgrade.
Read story →Perplexity will now finish part of your task on your own Mac — and the confidential part never leaves it
On 1 September 2026 Perplexity shipped Hybrid Compute in its Mac app for Pro, Max and enterprise users. A task starts on a frontier cloud model, and the steps that touch confidential data are handed to an open-weight model running on your hardware — mid-task, without restarting. Tokens generated locally cost nothing. It needs Apple silicon, macOS 15 and realistically 32GB of unified memory, and the privacy gate is itself a classifier that can miss things. Here is what it actually changes.
Read story →GitHub Copilot's price did not change today. Your included budget fell by up to 44%.
The promotional AI credit allowance GitHub gave existing Copilot Business and Enterprise customers for June, July and August 2026 ends on 1 September. Business drops from 3,000 to 1,900 credits per user per month, Enterprise from 7,000 to 3,900. Seat prices are unchanged, so nothing shows up on the invoice line you watch. Teams that measured their usage during the transition and concluded they were fine measured against a cushion that no longer exists.
Read story →Tencent's Hy4 wins its own blind test 46.8% to 40.4%. That is the story.
On 28 August 2026 Tencent open-sourced Hy4 preview under Apache 2.0 — 770B total parameters, 49B active, 1M context, $0.834/$2.501 per million tokens. The benchmark it chose to lead with is a blind evaluation by its own 163 internal experts, and it shows Hy4 losing to GLM-5.3 on 40.4% of tasks and to Kimi K3 on 40.9%. That is a vendor publishing evidence that its category has converged. Here is what actually separates the open-weight flagships now, and why the Apache 2.0 licence is one most buyers cannot exercise.
Read story →Google's new transcription model didn't reset the speech-to-text price floor — it finally brought Google down to it
Gemini 3.5 Transcribe entered public preview on 26 August 2026 at roughly $0.30 per audio-hour with diarization included, claiming 2.6% WER. The headline reads like a price war. The rate card says otherwise: Deepgram and AssemblyAI have been at or below that number for years. What actually got repriced by ~64% is Google's own Cloud Speech-to-Text. Here is the real comparison, the billing-model catch nobody is mentioning, and the session limits that decide whether you can use it at all.
Read story →Two open-weight 'Flash' models landed on the same day — and the better one spent the previous week in your router with no name on it
On 26 August 2026 Alibaba shipped Qwen3.8-Flash-Next (125B total, 6B active, Apache 2.0, $0.16/$0.47) and Z.ai shipped GLM-5.3-Flash (320B total, 18B active, MIT, $0.15/$0.50). Both claim coding scores at or above 2026 flagships at roughly a tenth of flagship price. The pricing is the smaller story. GLM-5.3-Flash is 'ox-alpha' — the unnamed free model that became OpenRouter's most popular listing of the week, retained every prompt, and ran entirely on Chinese domestic silicon. Here is what actually changed for a buyer, and what to check in your router config today.
Read story →OpenAI's Jalapeño chip posts its first numbers — and it still can't escape the memory squeeze
OpenAI published Jalapeño's first benchmark results on 25 August 2026: 1.5-1.9x more throughput per kilowatt and up to 3.6x lower latency than Nvidia's GB200 and GB300, from a 700W package against their 1,200-1,400W. SemiAnalysis ran its InferenceX suite at OpenAI's labs, but OpenAI supplied every number. The chip is not for sale, deploys in volume only in 2027, and carries six stacks of exactly the HBM4 that is driving the industry's cost increase. Here is what it changes for a buyer, and what it does not.
Read story →Nvidia's 15% server price rise puts a floor under the AI price war — and the discounts expire first
Bloomberg reported on 22 August 2026 that contract server builders have told Nvidia's largest customers that Grace Blackwell and Vera Rubin systems shipping in early 2027 will cost more than 15% extra, driven by DRAM, LPDDR and HBM4 shortages. Every headline AI price cut of the last month was set when memory was cheap, and the promotional clocks — Sol to 21 November, Gemini 3.7 Flash to 31 December — run out right where the hardware cost increase begins. Here is what that does and does not mean for your 2027 budget.
Read story →Claude broke again on Monday — and Anthropic no longer sells a tier that promises it won't
Anthropic's status page logged 21 incidents between 1 and 24 August 2026, including one critical and six major. Monday's three-hour outage hit Mythos 5, Fable 5, Opus 5 and Opus 4.8. The buyer problem isn't the incident count — OpenAI's is comparable. It's that Priority Tier, the only Anthropic tier with a published uptime target, is now marked 'no longer available for purchase' — and it never covered Mythos 5, Opus 5 or Sonnet 5 anyway.
Read story →DeepSeek bolted vision onto its cheapest model and charged nothing extra — the multimodal price floor just moved
On 21 August 2026 DeepSeek shipped V4-Flash-Vision-Exp, adding image understanding to V4-Flash at identical token rates, with images capped at 384 tokens each and a free Files API. It claims near-parity with Claude Opus 4.8 on several multimodal agent benchmarks. Every one of those numbers comes from DeepSeek's own unreleased harness, and the model carries an explicit experimental label — which makes this a cheap option to evaluate, not a frontier model to migrate to.
Read story →OpenAI cut GPT-5.6 Sol to $4/$20 — and put a 21 November expiry date on the frontier price crown
On 21 August 2026 OpenAI dropped GPT-5.6 Sol from $5/$30 to $4/$20 per million tokens, undercutting Claude Opus 5 on both input and output for the first time. It is explicitly a three-month promotion ending 21 November. Three of the five most-quoted frontier and workhorse prices now carry a hard expiry date, which makes 'who is cheapest' a question with a shelf life — and makes any architecture built around today's answer a liability.
Read story →43.5% of US businesses pay Anthropic. The median one spends $11.95 per employee.
Ramp's August 2026 AI Index puts Anthropic at 43.5% of US business adoption and OpenAI at 39.7%, with OpenAI growing faster in Q3. But the number that actually matters is buried further down: the median AI-buying firm spends $11.95 per employee, against $7,400 at the top 1%. Adoption breadth is close to saturated and close to meaningless. Here is what the index really measures, why the Fable 5 story is being misread, and why the company publishing it now sells against its own findings.
Read story →Stripe bought the neutral layer for $7.5B — and Ramp gave it away free the same day
On 19 August 2026 Stripe confirmed it is acquiring OpenRouter, the model gateway that routes across 400+ models from 80+ providers. Hours later Ramp launched a competing router, free through 2026. Two events, one lesson: the 'neutral' routing layer was never neutral infrastructure. It is a seat next to your token spend, and it just became the most contested seat in the stack.
Read story →Cursor's cloud agents can now wake themselves up — which quietly breaks how you budget for them
On 19 August 2026 Cursor gave cloud agents Subscriptions, so they wake on pull requests, Slack threads and schedules, plus /goal for objectives that persist across sessions and isolated VMs for subagents. The capability is real. The consequence is that spend is no longer triggered by a human pressing enter, and Cursor's own cost guidance was written for a world where it was.
Read story →Grok 4.6 landed on Amazon Bedrock — and AWS just published a price for data residency: 10%
On 19 August 2026 Amazon Bedrock added SpaceXAI's Grok 4.6. The headline is distribution; the story is the pricing table. Global routing costs $2.00/$6.00 per million tokens — exactly xAI's own list price — while US data residency costs $2.20/$6.60. That's a published, line-item price for a compliance requirement. And 'Grok 4.6 on Bedrock' is really two different products depending on which endpoint you call.
Read story →Warp Factories bets the lock-in fight has moved above the coding agent — and that you shouldn't have to pick one
On 18 August 2026 Warp opened early access to Factories: cloud pipelines that route a backlog ticket through triage, spec, implementation and review using fleets of agents, with each stage free to run a different model and harness — Warp Agent, Claude Code or Codex. It lands the same week SpaceX's Cursor shipped its own git forge. Two opposite bets on where AI coding gets locked in, and a billing unit quietly moving from seat to run.
Read story →OpenAI stopped its largest training run — and put a number on what safety costs: about 20% of inference compute
On 18 August 2026 OpenAI disclosed a two-week pause on reinforcement-learning training for deployment-bound models, and said its largest planned frontier RL run remains on hold. The headline is the pause. The number buyers should write down is the monitoring overhead: roughly 20% of the inference compute being watched. Frontier capability is now gated by security engineering, not by compute — here's what that changes for roadmaps and budgets.
Read story →The AI price war just flipped: DeepSeek is raising prices up to 1,100% while OpenAI and Anthropic cut
For two years the rule was simple — US labs were expensive, Chinese labs were cheap. In mid-August 2026 that inverted. DeepSeek launched its official V4-Pro and raised API prices by 50% to 1,100% with surge pricing from 17 August, while OpenAI, Anthropic and Google keep cutting. Here is the full current pricing map, why the flip is happening, and exactly what it means for your inference bill.
Read story →Google shipped Gemini 3.7 Flash — a cheaper, faster coding workhorse — while the flagship it actually promised is still missing
On 13 August 2026 Google launched Gemini 3.7 Flash, its third Flash model in seven weeks, with big coding gains (DeepSWE 49%→65.3%) and an introductory price of $0.75/$3.75 per million tokens — half of 3.6 Flash. It is a genuinely strong mid-tier coding-agent model and a clear price-war move. It is also, conspicuously, not the Gemini 3.5 Pro flagship Google promised in May and has now failed to ship for three months, in the middle of a leadership reshuffle. Here is what 3.7 Flash actually delivers, what it costs after the intro window, and why the model Google keeps shipping is not the one that matters most.
Read story →Alibaba says Qwen 3.8 Max beats GPT-5.6 Sol. Independent evals put it 10th — and you may not be licensed to use it.
Qwen 3.8 Max shipped 3 August: 2.4 trillion parameters, 1M context, $2/$6 per million tokens. Alibaba's own benchmarks show it beating GPT-5.6 Sol and Claude Opus 4.8. Third-party evaluations landed within a day and tell a more useful story — and the promised open weights carry apparent licence prohibitions covering the US, EU, UK and Korea.
Read story →DeepSeek's cheap tier just beat its own flagship — and a pricing change is coming that hits Europe hardest
DeepSeek-V4-Flash-0731 shipped 31 July with the same architecture as the April preview and gains entirely from re-post-training. It outscores V4-Pro-Preview on all seven reported benchmarks at roughly a third of the price. The benchmarks can't be independently reproduced, and a peak-hours pricing policy is coming that doubles cost during European working hours.
Read story →GitHub Copilot moves to token-based billing — flat-rate is dead, power users seeing 10-50× bill spikes
GitHub Copilot transitioned all plans to usage-based billing on June 1, 2026. Base subscription prices unchanged (Pro $10, Pro+ $39, Business $19/user, Enterprise $39/user), but the monthly fee now buys an equivalent dollar amount of AI Credits ($10 plan = $10 in credits). Tokens consumed by every input, output, and cached request count against the allotment. Code completions and Next Edit stay free. Power users running agentic Copilot workflows report 10-50× bill increases vs the old flat-rate model.
Read story →DeepSeek slashes V4-Pro prices 75% — now permanent (was promo through May 5)
Eight days after V4 Pro shipped, DeepSeek announced a 75% promotional cut on V4-Pro: input drops from $1.74 to $0.435 per million tokens, output from $3.48 to $0.87. Cache-hit input charges fall 90% across the entire DeepSeek API. Update May 22-25, 2026: the 75% cut is now PERMANENT — DeepSeek confirmed the discounted rates will not roll back after the originally-planned May 31 expiry.
Read story →The $20 AI coding tier is quietly collapsing
This week GitHub paused Copilot Pro signups, Anthropic briefly removed Claude Code from the $20 Pro plan, and OpenAI consolidated Codex around higher tiers. The cheap agentic coding era is ending. Here's what it means for developers.
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