GPT-6 Sol
Made by OpenAI, released 22 Sep 2026. Epoch AI lists its access as “API access”. Appears strongest at maths among the models listed here.
In short
What it does well
- Maths: Top tier (5th of 43 listed models)
- Knowledge: Strong (13th of 43 listed models)
Where it falls short
- Coding: Behind the leaders (71st of 77 listed models)
- Writing: Behind the leaders (71st of 77 listed models)
What we don't know yet
- Fixing real software bugs: Not enough data
The four ratings
- Top tier
- Strong
- Middle
- Behind the leaders
- Not enough data
Ratings compare only the 77 models listed here, in quarters, best first. “Not enough data” means no result yet. It is never a low score.
- Writing
- Behind the leadersHow often people preferred its answers to writing prompts. 1,378 on Arena's scale · Source for GPT-6 Sol writing score (lmarena)
- Coding
- Behind the leadersHow often people preferred its answers to coding questions. 1,447 on Arena's scale · Source for GPT-6 Sol coding score (lmarena)
- Maths
- Top tierHow many very hard maths problems it solved. 89.8% · Source for GPT-6 Sol maths score (epoch)
- Knowledge
- StrongHow many short factual questions it answered correctly. 60.7% · Source for GPT-6 Sol knowledge score (epoch)
Evidence completeness: Broad evidence, 12 of 13 tests have a result.
Where it is relatively stronger or weaker
This compares each kind of request with the model's own overall position among the 77 listed models, using Arena's votes. It is about performance on different languages, kinds of request and topics, not about political or social bias.
Relatively stronger
No category stands out as clearly stronger than its overall position.
Relatively weaker
No category stands out as clearly weaker than its overall position.
Show every category we can see
| Category | Position | Arena score | Votes | Source |
|---|---|---|---|---|
| Expert-level prompts Kind of request | 69th of 77 | 1,439 95% range 1,424 to 1,454 | 1,648 | Source for Expert-level prompts |
| Hard prompts Kind of request | 73rd of 77 | 1,420 95% range 1,413 to 1,427 | 9,734 | Source for Hard prompts |
| Long prompts Kind of request | 71st of 77 | 1,416 95% range 1,407 to 1,424 | 6,586 | Source for Long prompts |
| Longer conversations Kind of request | 71st of 77 | 1,411 95% range 1,399 to 1,424 | 2,523 | Source for Longer conversations |
| Chinese Language | 76th of 76 | 1,414 95% range 1,397 to 1,431 | 1,309 | Source for Chinese |
| English prompts Language | 76th of 77 | 1,396 95% range 1,387 to 1,404 | 6,127 | Source for English prompts |
| French Language | 72nd of 72 | 1,401 95% range 1,375 to 1,428 | 545 | Source for French |
| Japanese Language | 54th of 54 | 1,356 95% range 1,321 to 1,392 | 304 | Source for Japanese |
| Non-English prompts Language | 72nd of 77 | 1,388 95% range 1,381 to 1,395 | 9,659 | Source for Non-English prompts |
| Russian Language | 71st of 77 | 1,405 95% range 1,391 to 1,418 | 2,087 | Source for Russian |
| Spanish Language | 70th of 70 | 1,386 95% range 1,362 to 1,410 | 643 | Source for Spanish |
| Entertainment, sport and media Topic | 72nd of 77 | 1,372 95% range 1,361 to 1,382 | 3,886 | Source for Entertainment, sport and media |
| Law and government Topic | 74th of 76 | 1,393 95% range 1,376 to 1,410 | 1,340 | Source for Law and government |
| Medicine and health Topic | 74th of 75 | 1,367 95% range 1,348 to 1,385 | 1,169 | Source for Medicine and health |
| Science Topic | 76th of 77 | 1,390 95% range 1,378 to 1,402 | 2,638 | Source for Science |
| Software and IT Topic | 73rd of 77 | 1,431 95% range 1,422 to 1,440 | 5,692 | Source for Software and IT |
Bias: what we can and can't see
Our sources do not measure political lean, stereotyping, flattery (agreeing with you too readily) or safety behaviour, so we cannot say how any model does on those. What we can show is above: where a model is relatively stronger or weaker across languages, kinds of request and topics. Also, people voting in Arena can favour answer style, such as length and formatting, and our numbers do not adjust for that. See what AI bias means and what these tests can tell you.
Best-supported use cases
This model is not among the options we recommend for any of the five tasks. That reflects the rules and the models listed, not a verdict on the model.
Where an alternative might be more suitable
- Writing and creating content: rated Behind the leaders on writing votes. Compare it with Claude Opus 5.5, the best-supported choice for this task.
- Coding and building things: rated Behind the leaders on coding votes. Compare it with Claude Opus 5.5, the best-supported choice for this task.
- Business emails and everyday work: rated Behind the leaders on business-task votes. Compare it with Gemini 4 Argon, the best-supported choice for this task.
- Research and checking facts: rated Strong on short factual questions. Compare it with Gemini 4 Argon, the best-supported choice for this task.
What it is
- Maker
- OpenAI
- Release date (Epoch AI)
- 22 Sep 2026
- Access, as listed by Epoch AI
- API access
- Licence, as listed by Arena
- Proprietary
- Maker's country (Epoch AI)
- United States of America
- Last observation in our data
- 28 Oct 2026
- Data last changed
- 29 Oct 2026, 14:36 UTC
We have not verified an official product page for this model, so we do not link to one.
How you can use it
Proprietary. The model's files are not published, so it is generally available only through its maker or partners the maker chooses.
How you can reach it (an app, a website, a developer API or a third-party tool) and what that costs are not covered by our benchmark data. Where we could verify prices from the maker's own pages, they are shown under Price. Epoch AI lists access as “API access”. See models, apps and harnesses and how AI pricing works.
Price
Verified consumer plans that include this model
- ChatGPT Plus: GBP 20.00 per month. Maker's page, checked 29 Oct 2026. Comparison table cell for this model on this plan: "Yes". The page says limits apply.
- ChatGPT Pro (from): GBP 89.00 per month. Maker's page, checked 29 Oct 2026. Comparison table cell for this model on this plan: "Expanded". Listed as 'From £89 / month' with a choice of 3 usage tiers.
Prices change and can differ by country. Check the maker's page before you pay.
See ChatGPT plans and pricing (checked 29 Oct 2026). Page opened and read in the browser. Which plan includes which model comes from its comparison table.
We never infer subscription prices from API prices. New to “tokens” and “per million”? See how AI pricing works.
Good to remember
- Benchmarks are samples of tasks. None proves performance in every situation.
- Arena scores come from people choosing between answers. That measures preference, not correctness.
- Ratings are relative to the 77 models listed here. A different set would change them.
- Sources test models at different settings. Each result shows the setting used, and we do not adjust it.
The evidence, for the curious
Show all 13 tests with settings and sources
| Test | Result | Rating | Setting used | Source identifier | Observed | Links |
|---|---|---|---|---|---|---|
| Arena text: overall preference Arena 'text' leaderboard (Bradley-Terry rating, no style control) |
1,397 Arena score 95% range 1,392 to 1,403, 15,807 votes |
Behind the leaders | effort: Max, bradley-terry rating | GPT-6 Sol (Max) lmarena · text/latest |
28 Oct 2026 | Source for GPT-6 Sol Arena text: overall preference score (lmarena) |
| Arena text: creative writing Arena 'text' leaderboard, category creative_writing |
1,378 Arena score 95% range 1,366 to 1,389, 3,302 votes |
Behind the leaders | effort: Max, bradley-terry rating | GPT-6 Sol (Max) lmarena · text/latest |
28 Oct 2026 | Source for GPT-6 Sol Arena text: creative writing score (lmarena) |
| Arena text: coding Arena 'text' leaderboard, category coding |
1,447 Arena score 95% range 1,437 to 1,458, 3,647 votes |
Behind the leaders | effort: Max, bradley-terry rating | GPT-6 Sol (Max) lmarena · text/latest |
28 Oct 2026 | Source for GPT-6 Sol Arena text: coding score (lmarena) |
| Arena text: maths Arena 'text' leaderboard, category math |
1,404 Arena score 95% range 1,384 to 1,424, 886 votes |
Behind the leaders | effort: Max, bradley-terry rating | GPT-6 Sol (Max) lmarena · text/latest |
28 Oct 2026 | Source for GPT-6 Sol Arena text: maths score (lmarena) |
| Arena text: following instructions Arena 'text' leaderboard, category instruction_following |
1,411 Arena score 95% range 1,402 to 1,420, 5,282 votes |
Behind the leaders | effort: Max, bradley-terry rating | GPT-6 Sol (Max) lmarena · text/latest |
28 Oct 2026 | Source for GPT-6 Sol Arena text: following instructions score (lmarena) |
| Arena text: business and management Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations |
1,381 Arena score 95% range 1,369 to 1,393, 2,875 votes |
Behind the leaders | effort: Max, bradley-terry rating | GPT-6 Sol (Max) lmarena · text/latest |
28 Oct 2026 | Source for GPT-6 Sol Arena text: business and management score (lmarena) |
| Arena WebDev: building web apps Arena 'webdev' leaderboard (Code Arena), category overall |
1,678 Arena score 95% range 1,669 to 1,688, 5,714 votes |
Top tier | effort: Max, bradley-terry rating | GPT-6 Sol (Max) lmarena · webdev/latest |
28 Oct 2026 | Source for GPT-6 Sol Arena WebDev: building web apps score (lmarena) |
| FrontierMath Tiers 1-3 (v2) FrontierMath Tiers 1-3 v2 (private set), benchmark released 2026-06-12 |
89.8% share of problems solved standard error ±1.8 points |
Top tier | effort: max, best score across scorers | gpt-6-sol_max epoch · frontiermath_tiers_1_3_v2.csv |
22 Sep 2026 | Source for GPT-6 Sol FrontierMath Tiers 1-3 (v2) score (epoch) No public run log in the data file. |
| OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025, benchmark released 2024-12-19 |
100.0% share of problems solved standard error ±0.0 points |
Top tier | effort: max, best score across scorers | gpt-6-sol_max epoch · otis_mock_aime_2024_2025.csv |
22 Sep 2026 | Source for GPT-6 Sol OTIS Mock AIME 2024-2025 score (epoch) No public run log in the data file. |
| GPQA Diamond GPQA Diamond, benchmark released 2023-11-20 |
94.3% share of questions correct standard error ±1.5 points |
Top tier | effort: max, best score across scorers | gpt-6-sol_max epoch · gpqa_diamond.csv |
22 Sep 2026 | Source for GPT-6 Sol GPQA Diamond score (epoch) No public run log in the data file. |
| SimpleQA Verified SimpleQA Verified, benchmark released 2025-09-09 |
60.7% share of questions correct standard error ±1.5 points |
Strong | effort: max, best score across scorers | gpt-6-sol_max epoch · simpleqa_verified.csv |
22 Sep 2026 | Source for GPT-6 Sol SimpleQA Verified score (epoch) No public run log in the data file. |
| SWE-bench Verified (Epoch runs) | Not enough data | |||||
| FrontierCode (reported by Cognition) FrontierCode, benchmark released 2026-06-08, aggregation Mean@5 |
49.3% mean score over 5 attempts no uncertainty figure published |
Not rated (results use different tools) | effort: max, tool: codex, mean@5 | gpt-6-sol_max epoch · frontiercode_external.csv |
not provided | Source for GPT-6 Sol FrontierCode (reported by Cognition) score (epoch) · Run details for FrontierCode (reported by Cognition) |
Missing evidence
Not enough data for these tests:
- SWE-bench Verified (Epoch runs)
Missing results are not low scores and do not count against the model.
Where a source gives no public run log, we cannot show the run behind the score. See data sources.
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