Released September 22, 2026 with GPT-6 Luna. Gateway id openai/gpt-6-sol. $2/$10 per 1M up to 272K input tokens, $4/$15 above; Flex $1/$5. 1,050,000 context, 128,000 max output, knowledge cutoff April 20, 2026. OpenAI launch figures: AutomationBench 33.2 (~$0.27/task); DeepSWE v1.1 68.8 at max (GPT-5.6 Sol 72.7); OSWorld 2.0 64.4 (GPT-5.6 Sol 66.2). Verified October 10, 2026.
OpenAI reports about half as many factual errors as GPT-5.6 Sol on its internal user-flagged set
Lower cost per task than GPT-5.6 Sol on OpenAI's own coding runs
Flex tier at $1/$5 for work that can wait
Weaknesses
Not a better model on every row: DeepSWE v1.1 68.8% vs GPT-5.6 Sol's 72.7%, OSWorld 2.0 64.4% vs 66.2%
Superseded within a week by GPT-6.1 Sol at the same price
Real-world use cases
What people actually use GPT-6 Sol for.
Automation workflows — OpenAI reports 33.2% on AutomationBench at about $0.27 per task
Coding agents where cost per completed task matters more than peak score
Long-document work across its 1.05M context
How GPT-6 Sol compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-6.1 Sol — Against GPT-6.1 Sol (OpenAI), GPT-6 Sol lands within a few percent on price. Which one wins depends on whether context depth or latency is your constraint.
vs GPT-6 Astra — Against GPT-6 Astra (OpenAI), GPT-6 Sol runs about 80% cheaper per token and answers faster. Take GPT-6 Sol unless you specifically need what GPT-6 Astra does better.
vs GPT-5.5 — Against GPT-5.5 (OpenAI), GPT-6 Sol runs about 66% cheaper per token and takes 1.1x the context. Take GPT-6 Sol unless you specifically need what GPT-5.5 does better.
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Start using GPT-6 Sol
Cost-efficient coding and agent workflows on the OpenAI API. Start free — no card required.
OpenAI's September 29, 2026 DevDay release — a Sol-tier reasoning model that OpenAI says comes close to GPT-6 Astra on agentic coding, computer use and professional work at one fifth of Astra's price.
Verdict
Near-Astra capability at Sol pricing — OpenAI's value pick.
Quality score
95%
Pricing
$2.00/1M in
$10.00/1M out
Speed
Balanced
3/5 speed
Context
1.1M tokens
Released September 29, 2026 at OpenAI DevDay, one week after GPT-6 Sol. Gateway id openai/gpt-6.1-sol. $2/$10 per 1M up to 272K input tokens, $4/$15 above; cached input $0.10. Flex tier $1/$5; Ultrafast tier $12/$60. 1,050,000 context, 128,000 max output. OpenAI did not ship a GPT-6.1 Astra. Available to Plus, Pro, Business, Enterprise and Edu through ChatGPT Work and Codex at launch. Verified October 10, 2026.
CodingAgenticValueLong contextNew
Best for
Agentic coding and computer use when Astra's price is hard to justify
OpenAI's September 3, 2026 frontier release — the first GPT-6 model and OpenAI's answer to Claude Fable 5.1 two days earlier. State of the art on computer use (OSWorld 2.0 72.6% in ~47% less time than GPT-5.6 Sol), agentic coding (Terminal-Bench 4.0 57.9%), and frontier math (FrontierMath Tier 4 97.6%). $10/$50 per 1M tokens, 1.05M context, 128K output, knowledge cutoff April 30, 2026.
Verdict
OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1.1M tokens
Released September 3, 2026. API ID gpt-6-astra; rolling out over the coming days to ChatGPT Plus, Pro, Business and Enterprise (usage inside existing allowances; GPT-6 Astra Pro for Pro/Business/Enterprise; Enterprise off by default), the OpenAI API, Microsoft Azure and Amazon Bedrock. Standard API pricing $10/$50 per 1M tokens; Fast mode is up to 2x speed at 2x price; cache reads and writes have separate rates. Model docs list 1,050,000 context, 128,000 max output, knowledge cutoff April 30, 2026, reasoning efforts up to 'max'. Published launch numbers (Astra / GPT-5.6 Sol / Fable 5.1 / Opus 5): OSWorld 2.0 72.6 / 65.7 / — / 70.2; Terminal-Bench 4.0 57.9 / 37.3 / 55.8 / 52.3; Terminal-Bench Science 0.1 64.6 / 22.4 / 52.6 / 30.0; FrontierMath Tier 4 v2 97.6 / 83.0 / 87.8 / 73.2; GPQA Diamond 96.0 / 94.6 / 93.7 / 93.7; Humanity's Last Exam w/ tools 57.2 / — / 65.0 / 63.6; AutomationBench 41.4 / 18.1 / 31.4 / 26.9; DeepSWE v1.1 74.1 / 72.7 / 67.4 / 73.7; ARC-AGI-2 95.0 / 92.5 / 90.0 / 90.4; ARC-AGI-3 99.9 (OpenAI responses-API harness; ARC Prize's stateless runs score far lower) / 7.8 / — / 30.2; ExploitBench 100.0 / 78.5 / — / 70; SRE-Bench 88.0 / 55.9; Artificial Analysis Intelligence Index v4.1.1 61.2 / 60.9 / 65.7 / 63.1. Meets the Critical threshold for cybersecurity under OpenAI's Preparedness Framework; advanced cyber workflows gated behind OpenAI Daybreak. All figures from OpenAI's launch post and model docs, verified September 4, 2026.
Computer use leaderFrontierAgenticReasoningLong contextPremiumNew
Best for
Computer and browser use, long-horizon agentic coding, and frontier math and science work
OpenAI's April 2026 agentic flagship for coding, research, computer-use workflows and long multi-step knowledge work, since followed by the GPT-5.6 and GPT-6 families.
Verdict
Former OpenAI flagship — replaced by the GPT-5.6 and GPT-6 families.
Quality score
94%
Pricing
$5.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
1M tokens
Ranked from public benchmark and pricing data verified April 26, 2026: SWE-Bench Pro 58.6%, Terminal-Bench 2.0 82.7%, $5/$30 per 1M tokens, 1M API context.
AgenticCodingComputer useLong contextPremium
Best for
Agentic coding, computer-use workflows, and complex research tasks
Pricing moves, ranking shifts, and capability updates.
New ModelSep 22, 2026
GPT-6 Sol and GPT-6 Luna released — OpenAI halves its mid and budget prices
OpenAI released GPT-6 Sol and GPT-6 Luna on September 22, 2026, about three weeks after GPT-6 Astra. Sol costs $2/$10 per million tokens and Luna $0.10/$0.50, both with a 1.05M-token context and 128K output. The release is mainly a price cut: OpenAI's own charts show Sol at 33.2% on AutomationBench for about $0.27 per task, but below GPT-5.6 Sol on DeepSWE v1.1 (68.8% vs 72.7%) and OSWorld 2.0 (64.4% vs 66.2%). GPT-6.1 Sol replaced Sol a week later at the same price. Verified October 10, 2026.
GPT-6 Sol costs $2 per million input tokens and $10 per million output tokens on the API, with cached input at $0.2 per million. A month of 10M input and 2M output tokens runs about $40.00 at list price, before any batch or caching discounts.
What is the context window of GPT-6 Sol?
GPT-6 Sol has a 1.1M tokens context window, with up to 128k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is the knowledge cutoff of GPT-6 Sol?
GPT-6 Sol's training data runs through April 20, 2026, and the model was released on September 22, 2026. For anything after that date it needs web search or documents in the prompt.
What is GPT-6 Sol best for?
GPT-6 Sol is best for cost-efficient coding and agent workflows on the openai api. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid GPT-6 Sol?
You are starting something new — GPT-6.1 Sol costs the same and scores higher.
What is a cheaper alternative to GPT-6 Sol?
Claude Sonnet 5.5 (Anthropic) at $2.00/1M/1M input against GPT-6 Sol's $2.00/1M/1M. Near-Opus 5.5 quality on scoped work at half the price. Compare it first if GPT-6 Sol's pricing is the thing stopping you.
What is a faster alternative to GPT-6 Sol?
GPT-6.1 Sol — balanced against GPT-6 Sol's balanced, with 1.1M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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