GPT-6.1 Sol wins on price ($2 vs $10/1M input). GPT-6 Astra wins on coding (99 vs 98). For most workflows, GPT-6.1 Sol is the stronger default — near-astra capability at sol pricing — openai's value pick.
Last verified Oct 10, 2026/Model data modified Oct 10, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
OpenAIBalanced
Input cost
$2.00/1M
Context
1.1M tokens
Speed
Balanced
Clear recommendation block
The safest GPT-6.1 Sol vs GPT-6 Astra default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
GPT-6.1 Sol is the strongest answer here for GPT-6.1 Sol vs GPT-6 Astra — pick it when quality of output matters more than the $2.00/1M/1M input you pay for it.
OpenAIBalanced
Best for
Agentic coding and computer use when Astra's price is hard to justify
GPT-6 Astra is the fastest of these for GPT-6.1 Sol vs GPT-6 Astra — worth it when latency is what the reader notices, not the last few points of reasoning depth.
OpenAIPremium
Best for
Computer and browser use, long-horizon agentic coding, and frontier math and science work
Price
$10.00/1M
Context
1.1M tokens
Why this page recommends it
GPT-6 Astra leads on coding with a score of 99 vs 98 for GPT-6.1 Sol.
GPT-6.1 Sol is cheaper at $2/1M input tokens vs $10/1M for GPT-6 Astra.
GPT-6.1 Sol is the stronger default for coding tasks.
Decision notes
Choose GPT-6.1 Sol for agentic coding and computer use when Astra's price is hard to justify. Its coding and research scores are what carry the recommendation here.
GPT-6 Astra earns its place when your work is mostly computer and browser use and long-horizon agentic coding, even though it loses the overall count here.
Both models serve different primary workflows — GPT-6.1 Sol for agentic coding and computer use when Astra's price is hard to justify, GPT-6 Astra for computer and browser use and long-horizon agentic coding — so running each where it has a clear edge often beats forcing one to do both.
Interactive decision lab
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Switch the scoring lens to see whether the GPT-6.1 Sol vs GPT-6 Astra answer changes when cost, speed, or long-document depth leads the decision.
#1GPT-6.1 Sol92 pts
#2GPT-6 Astra91 pts
Quality first
GPT-6.1 Sol
OpenAI / Balanced / Oct 10, 2026
92
Near-Astra capability at Sol pricing — OpenAI's value pick.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Ranked first here for GPT-6.1 Sol vs GPT-6 Astra: 98/100 on coding, with the widest margin of anything in this line-up.
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.
Input
$2.00/1M
Output
$10.00/1M
Context
1.1M tokens
Speed
Balanced
What people actually use it for
Coding agents in Codex that need near-Astra quality at Sol pricing
Computer-use and browser automation run at volume
Professional knowledge work — reports, analysis, document review — in ChatGPT Work
Where it wins
$2/$10 per 1M against Astra's $10/$50, with cached input at $0.10/1M
Artificial Analysis puts it one point below Astra on its Intelligence Index, at under a quarter of Astra's cost per task
1.05M context and 128K output, with an Ultrafast tier for latency-bound work
Where it falls down
Prompts above 272K input tokens are billed at $4/$15
At launch it was available in ChatGPT Work and Codex, not in regular ChatGPT conversations
Skip it if
You need it inside ordinary ChatGPT chats today, or your prompts regularly pass 272K tokens where the rate doubles.
Our verdict
OpenAI's best value for serious work. GPT-6.1 Sol replaces both GPT-6 Sol and, for most teams, GPT-6 Astra: independent testing has it a point behind Astra at a fifth of the list price. Pick Astra only when the last point of capability is worth five times the bill.
Full pricing, benchmark table and release notes on the GPT-6.1 Sol page.
Here for latency: it answers fastest of anything listed for GPT-6.1 Sol vs GPT-6 Astra, at 99/100 on coding.
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.
Input
$10.00/1M
Output
$50.00/1M
Context
1.1M tokens
Speed
Deliberate
What people actually use it for
Computer-use agents that fill forms, update CRMs, run QA in a browser — 72.6% on OSWorld 2.0 at ~40 minutes per task vs Sol's 75
Agentic coding in Codex with cross-context notes — 57.9% Terminal-Bench 4.0, ahead of Claude Fable 5.1 (55.8%)
Frontier math and science — 97.6% FrontierMath Tier 4 and 64.6% Terminal-Bench Science, both well clear of every rival OpenAI tested
Where it wins
OSWorld 2.0 72.6% vs 65.7% for GPT-5.6 Sol, in roughly 47% less time per task — the new computer-use ceiling
Terminal-Bench 4.0 57.9% — ahead of Claude Fable 5.1 (55.8%), Opus 5 (52.3%) and GPT-5.6 Sol (37.3%)
FrontierMath Tier 4 (v2) 97.6% vs Fable 5.1's 87.8%; Terminal-Bench Science 64.6% vs 52.6%; GPQA Diamond 96.0%
1.05M context with 96.3% on OpenAI MRCR 8-needle at 512K–1M (Sol: 73.8%) and 128K max output
OpenAI's lowest misaligned-outcome rates to date: 2.4% on its computer-use safety benchmark vs 22.0% for Sol, 0% scope-creep on impossible cyber tasks vs 48%
Where it falls down
$10/$50 per 1M — two and a half times GPT-5.6 Sol's $4/$20 promotional rate, five times GPT-6.1 Sol's $2/$10, and the same premium as Claude Fable 5.1; Fast mode doubles it again
Trails Claude Fable 5.1 on Humanity's Last Exam with tools (57.2% vs 65.0%) and on the Artificial Analysis Intelligence Index (61.2 vs 65.7)
OpenAI published no SWE-bench Verified or SWE-bench Pro figure at launch, so it does not appear on our SWE-bench leaderboard
Rolling out over days, not instantly: Enterprise access is off by default, advanced cyber tasks are refused outside OpenAI Daybreak, and the safety layer can pause or stop legitimate agent runs
OpenAI's own system card finds its written reasoning harder to monitor than Sol's
Skip it if
You are cost-sensitive or latency-bound — GPT-6.1 Sol is a fifth of the price — or you need it today in an Enterprise workspace, where it is off by default, or for offensive-security work, which it refuses outside OpenAI Daybreak.
Our verdict
The new computer-use and agentic-coding ceiling, and OpenAI's first model priced like a Mythos-class Claude. Astra beats Claude Fable 5.1 on Terminal-Bench 4.0 (57.9% vs 55.8%), Terminal-Bench Science (64.6% vs 52.6%) and FrontierMath Tier 4 (97.6% vs 87.8%), and it is the only model with a credible OSWorld 2.0 result above 70%. It loses to Fable 5.1 on Humanity's Last Exam and on Artificial Analysis's index, costs five times GPT-5.6 Sol, and ships without a SWE-bench number. If your work is computer use, browser agents or math, it is the pick; for everyday coding at scale, GPT-6.1 Sol at $2/$10 is the value default — OpenAI says it comes close to Astra at a fifth of the price.
Full pricing, benchmark table and release notes on the GPT-6 Astra page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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FAQ
Is GPT-6.1 Sol better than GPT-6 Astra?
GPT-6.1 Sol wins on more of the categories we score — coding, research, reasoning — so it is the better default of the two. GPT-6 Astra is the better pick when your work is mostly computer and browser use and long-horizon agentic coding. Neither is universally "better": GPT-6.1 Sol is aimed at agentic coding and computer use when Astra's price is hard to justify, GPT-6 Astra at computer and browser use and long-horizon agentic coding.
Which is cheaper — GPT-6.1 Sol or GPT-6 Astra?
GPT-6.1 Sol is cheaper at $2/1M input and $10/1M output. GPT-6 Astra costs $10/1M input and $50/1M output.
Which has a larger context window — GPT-6.1 Sol or GPT-6 Astra?
Both GPT-6.1 Sol and GPT-6 Astra have the same 1.05M context window.
Is GPT-6.1 Sol or GPT-6 Astra better for coding?
GPT-6 Astra is better for coding with a score of 99 vs GPT-6.1 Sol's 98 (out of 100). Claude Opus 5.5 is the overall coding leader in this directory at 100/100.
Which is faster — GPT-6.1 Sol or GPT-6 Astra?
GPT-6.1 Sol is faster with a balanced speed rating (score: 3) vs GPT-6 Astra's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the GPT-6 Astra latency penalty is usually invisible.
What are the downsides of GPT-6.1 Sol?
Prompts above 272K input tokens are billed at $4/$15. At launch it was available in ChatGPT Work and Codex, not in regular ChatGPT conversations. Avoid it if you need it inside ordinary ChatGPT chats today, or your prompts regularly pass 272K tokens where the rate doubles. That is the main case for looking at GPT-6 Astra instead.
What are the downsides of GPT-6 Astra?
$10/$50 per 1M — two and a half times GPT-5.6 Sol's $4/$20 promotional rate, five times GPT-6.1 Sol's $2/$10, and the same premium as Claude Fable 5.1; Fast mode doubles it again. Trails Claude Fable 5.1 on Humanity's Last Exam with tools (57.2% vs 65.0%) and on the Artificial Analysis Intelligence Index (61.2 vs 65.7). OpenAI published no SWE-bench Verified or SWE-bench Pro figure at launch, so it does not appear on our SWE-bench leaderboard. Avoid it if you are cost-sensitive or latency-bound — GPT-6.1 Sol is a fifth of the price — or you need it today in an Enterprise workspace, where it is off by default, or for offensive-security work, which it refuses outside OpenAI Daybreak. Against GPT-6.1 Sol specifically, the gap shows up most on coding (98 vs 99).
What does a month of real work cost on GPT-6.1 Sol vs GPT-6 Astra?
Take a moderate workload of 10M input and 2M output tokens a month. GPT-6.1 Sol runs $40.00 (at $2/1M in and $10/1M out); GPT-6 Astra runs $200.00 (at $10/1M in and $50/1M out). That is a $160.00/month difference — GPT-6.1 Sol is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.
Can I use GPT-6.1 Sol and GPT-6 Astra together?
Yes, and for most teams that beats picking one. A common split is GPT-6.1 Sol for agentic coding and computer use when Astra's price is hard to justify, with GPT-6 Astra handling computer and browser use and long-horizon agentic coding. Since GPT-6.1 Sol is both the stronger and the cheaper option here, a split mainly makes sense if GPT-6 Astra covers a capability you specifically need.