GPT-5.6 Sol
Made by OpenAI, released 9 Jul 2026. Epoch AI lists its access as “API access”. Appears strongest at knowledge and maths among the models listed here.
In short
What it does well
- Knowledge: Top tier (7th of 43 listed models)
- Maths: Top tier (6th of 43 listed models)
- Coding: Strong (27th of 77 listed models)
- Writing: Strong (29th of 77 listed models)
Where it falls short
The four main ratings show no weakness. That is not evidence it has none.
What we don't know yet
- Web-building votes: Not enough data
- 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
- StrongHow often people preferred its answers to writing prompts. 1,450 on Arena's scale · Source for GPT-5.6 Sol writing score (lmarena)
- Coding
- StrongHow often people preferred its answers to coding questions. 1,495 on Arena's scale · Source for GPT-5.6 Sol coding score (lmarena)
- Maths
- Top tierHow many very hard maths problems it solved. 89.1% · Source for GPT-5.6 Sol maths score (epoch)
- Knowledge
- Top tierHow many short factual questions it answered correctly. 69.7% · Source for GPT-5.6 Sol knowledge score (epoch)
Evidence completeness: Broad evidence, 11 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
- Expert-level prompts: 13th of 77 on prompts that need expert knowledge, against 38th of 77 overall. Source for Expert-level prompts
- Entertainment, sport and media: 21st of 77 on entertainment, sport and media questions, against 38th of 77 overall. Source for Entertainment, sport and media
- Chinese: 21st of 76 on questions asked in Chinese, against 38th of 77 overall. Source for Chinese
Relatively weaker
- Medicine and health: 63rd of 75 on medicine and health questions, against 38th of 77 overall. Source for Medicine and health
- Spanish: 52nd of 70 on questions asked in Spanish, against 38th of 77 overall. Source for Spanish
- Science: 55th of 77 on life, physical and social science questions, against 38th of 77 overall. Source for Science
Show every category we can see
| Category | Position | Arena score | Votes | Source |
|---|---|---|---|---|
| Expert-level prompts Kind of request | 13th of 77 | 1,516 95% range 1,507 to 1,525 | 4,879 | Source for Expert-level prompts |
| Hard prompts Kind of request | 27th of 77 | 1,483 95% range 1,478 to 1,488 | 28,350 | Source for Hard prompts |
| Long prompts Kind of request | 24th of 77 | 1,480 95% range 1,474 to 1,486 | 20,081 | Source for Long prompts |
| Longer conversations Kind of request | 38th of 77 | 1,461 95% range 1,453 to 1,469 | 7,135 | Source for Longer conversations |
| Chinese Language | 21st of 76 | 1,526 95% range 1,515 to 1,536 | 3,417 | Source for Chinese |
| English prompts Language | 43rd of 77 | 1,458 95% range 1,453 to 1,464 | 17,540 | Source for English prompts |
| French Language | 36th of 72 | 1,473 95% range 1,456 to 1,490 | 1,461 | Source for French |
| German Language | 19th of 55 | 1,473 95% range 1,451 to 1,496 | 693 | Source for German |
| Japanese Language | 16th of 54 | 1,472 95% range 1,448 to 1,496 | 711 | Source for Japanese |
| Korean Language | 19th of 54 | 1,442 95% range 1,420 to 1,463 | 838 | Source for Korean |
| Non-English prompts Language | 34th of 77 | 1,450 95% range 1,445 to 1,455 | 26,248 | Source for Non-English prompts |
| Russian Language | 26th of 77 | 1,472 95% range 1,463 to 1,480 | 5,206 | Source for Russian |
| Spanish Language | 52nd of 70 | 1,443 95% range 1,426 to 1,460 | 1,302 | Source for Spanish |
| Entertainment, sport and media Topic | 21st of 77 | 1,450 95% range 1,443 to 1,456 | 11,155 | Source for Entertainment, sport and media |
| Law and government Topic | 34th of 76 | 1,473 95% range 1,463 to 1,484 | 3,656 | Source for Law and government |
| Medicine and health Topic | 63rd of 75 | 1,430 95% range 1,418 to 1,441 | 3,145 | Source for Medicine and health |
| Science Topic | 55th of 77 | 1,455 95% range 1,448 to 1,463 | 7,111 | Source for Science |
| Software and IT Topic | 31st of 77 | 1,488 95% range 1,482 to 1,494 | 16,872 | 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 Strong on writing votes. Compare it with Claude Opus 5.5, the best-supported choice for this task.
- Coding and building things: rated Strong on coding votes. Compare it with Claude Opus 5.5, the best-supported choice for this task.
- Business emails and everyday work: rated Strong on business-task votes. Compare it with Gemini 4 Argon, the best-supported choice for this task.
What it is
- Maker
- OpenAI
- Release date (Epoch AI)
- 9 Jul 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: "Unlimited*". 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) |
1,457 Arena score 95% range 1,453 to 1,461, 43,796 votes |
Strong | effort: xHigh, bradley-terry rating | GPT-5.6 Sol (xHigh) lmarena · text/latest |
28 Oct 2026 | Source for GPT-5.6 Sol Arena text: overall preference score (lmarena) |
| Arena text: creative writing Arena 'text' leaderboard, category creative_writing |
1,450 Arena score 95% range 1,443 to 1,458, 9,174 votes |
Strong | effort: xHigh, bradley-terry rating | GPT-5.6 Sol (xHigh) lmarena · text/latest |
28 Oct 2026 | Source for GPT-5.6 Sol Arena text: creative writing score (lmarena) |
| Arena text: coding Arena 'text' leaderboard, category coding |
1,495 Arena score 95% range 1,489 to 1,502, 11,636 votes |
Strong | effort: xHigh, bradley-terry rating | GPT-5.6 Sol (xHigh) lmarena · text/latest |
28 Oct 2026 | Source for GPT-5.6 Sol Arena text: coding score (lmarena) |
| Arena text: maths Arena 'text' leaderboard, category math |
1,472 Arena score 95% range 1,459 to 1,485, 2,112 votes |
Strong | effort: xHigh, bradley-terry rating | GPT-5.6 Sol (xHigh) lmarena · text/latest |
28 Oct 2026 | Source for GPT-5.6 Sol Arena text: maths score (lmarena) |
| Arena text: following instructions Arena 'text' leaderboard, category instruction_following |
1,483 Arena score 95% range 1,477 to 1,489, 15,280 votes |
Top tier | effort: xHigh, bradley-terry rating | GPT-5.6 Sol (xHigh) lmarena · text/latest |
28 Oct 2026 | Source for GPT-5.6 Sol Arena text: following instructions score (lmarena) |
| Arena text: business and management Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations |
1,456 Arena score 95% range 1,449 to 1,464, 8,026 votes |
Strong | effort: xHigh, bradley-terry rating | GPT-5.6 Sol (xHigh) lmarena · text/latest |
28 Oct 2026 | Source for GPT-5.6 Sol Arena text: business and management score (lmarena) |
| Arena WebDev: building web apps | Not enough data | |||||
| FrontierMath Tiers 1-3 (v2) FrontierMath Tiers 1-3 v2 (private set), benchmark released 2026-06-12 |
89.1% share of problems solved standard error ±1.8 points |
Top tier | effort: max, best score across scorers | gpt-5.6-sol_max epoch · frontiermath_tiers_1_3_v2.csv |
9 Jul 2026 | Source for GPT-5.6 Sol FrontierMath Tiers 1-3 (v2) score (epoch) · Run details for FrontierMath Tiers 1-3 (v2) |
| 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-5.6-sol_max epoch · otis_mock_aime_2024_2025.csv |
9 Jul 2026 | Source for GPT-5.6 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 |
93.5% share of questions correct standard error ±1.6 points |
Top tier | effort: max, best score across scorers | gpt-5.6-sol_max epoch · gpqa_diamond.csv |
9 Jul 2026 | Source for GPT-5.6 Sol GPQA Diamond score (epoch) No public run log in the data file. |
| SimpleQA Verified SimpleQA Verified, benchmark released 2025-09-09 |
69.7% share of questions correct standard error ±1.5 points |
Top tier | effort: max, best score across scorers | gpt-5.6-sol_max epoch · simpleqa_verified.csv |
10 Aug 2026 | Source for GPT-5.6 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 |
47.5% mean score over 5 attempts no uncertainty figure published |
Not rated (results use different tools) | effort: max, tool: codex, mean@5 | gpt-5.6-sol_unknown epoch · frontiercode_external.csv |
not provided | Source for GPT-5.6 Sol FrontierCode (reported by Cognition) score (epoch) · Run details for FrontierCode (reported by Cognition) |
Missing evidence
Not enough data for these tests:
- Arena WebDev: building web apps
- 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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