Updated daily at 05:00 UTC
Vision-language
GPT-5.6 Terra
- Released
- 9 Jul 2026
- Status
- Current
- Context
- 1.1M
- Max output
- 128K
- Input per 1M tokens
- $2.00
- Output per 1M tokens
- $12.00
- Open weights
- No
- License
- proprietary
- Parameters
- —
- Knowledge cutoff
- 16 Feb 2026
- Reasoning
- Yes
- Modalities
- text, image → text
Category scores
Out of 100, from independent and third-party results only, by method category-2026-09-29.1.
| Category | Score | Rank | Coverage |
|---|---|---|---|
| Knowledge & reasoning | 51.6 | 13 | 3 of 4 |
| Coding & software engineering | 55.5 | Not ranked | 2 of 5 |
| Agentic tool use | 53.2 | Not ranked | 1 of 2 |
| Vision & multimodal understanding | 34.5 | Not ranked | 1 of 3 |
| Factuality & hallucination | 43.2 | 34 | 1 of 1 |
| Human preference | 50.7 | 28 | 3 of 5 |
Benchmark results
Every result we hold for this model, with who ran it and where it was published.
Knowledge & reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Chess Puzzles | Puzzles solved | 54.0% | Independent | max | 9 Jul 2026 | Epoch AI |
| Chess Puzzles | Puzzles solved | 22.0% | Independent | low | 7 Aug 2026 | Epoch AI |
| Chess Puzzles | Puzzles solved | 5.0% | Independent | none | 7 Aug 2026 | Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 93.3% | Third party | max | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 92.5% | Third party | xhigh | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 91.2% | Third party | high | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 90.1% | Third party | low | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 90.1% | Third party | medium | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 78.7% | Third party | none | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.5495 | Third party | max | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.5223 | Third party | xhigh | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.5137 | Third party | high | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.4964 | Third party | medium | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.493 | Third party | low | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.4651 | Third party | none | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 35.0% | Independent | max | 28 Jul 2026 | Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 19.0% | Independent | low | 27 Aug 2026 | Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 14.0% | Independent | none | 27 Aug 2026 | Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 10.0% | Independent | medium | 28 Aug 2026 | Epoch AI |
| SimpleBench | Score (AVG@5) | 48.9% | Third party | unknown | — | SimpleBench Leaderboard via Epoch AI |
| SimpleBench | Score (AVG@5) | 48.9% | Third party | xhigh | — | https://lmcouncil.ai/benchmarks via Epoch AI |
Scientific reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| GPQA Diamond | Accuracy | 93.3% | Independent | max | 9 Jul 2026 | Epoch AI |
| GPQA Diamond | Accuracy | 87.4% | Independent | low | 7 Aug 2026 | Epoch AI |
| GPQA Diamond | Accuracy | 77.3% | Independent | none | 7 Aug 2026 | Epoch AI |
| Surface Evolver Bench | Mean score (partial credit) | 83.8% | Third party | xhigh | — | https://yhenon.github.io/surface-evolver-llm-eval/ via Epoch AI |
Mathematics
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| FrontierMath Tier 4 | Accuracy | 70.7% | Independent | max | 9 Jul 2026 | Epoch AI |
| FrontierMath Tiers 1-3 | Accuracy | 86.0% | Independent | max | 9 Jul 2026 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 99.7% | Independent | max | 9 Jul 2026 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 88.9% | Independent | low | 7 Aug 2026 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 53.3% | Independent | none | 7 Aug 2026 | Epoch AI |
Coding & software engineering
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| DeepSWE | Pass@1 | 69.6% | Third party | max | — | https://deepswe.datacurve.ai/ via Epoch AI |
| DeepSWE | Pass@1 | 60.2% | Third party | xhigh | — | https://deepswe.datacurve.ai/ via Epoch AI |
| DeepSWE | Pass@1 | 53.8% | Third party | high | — | https://deepswe.datacurve.ai/ via Epoch AI |
| DeepSWE | Pass@1 | 35.1% | Third party | medium | — | https://deepswe.datacurve.ai/ via Epoch AI |
| DeepSWE | Pass@1 | 24.1% | Third party | low | — | https://deepswe.datacurve.ai/ via Epoch AI |
| FrontierCode | Main score (Mean@5) | 41.3% | Third party | unknown | — | https://cognition.com/frontiercode via Epoch AI |
| WeirdML (v2) | Average accuracy | 78.3% | Third party | high | — | https://htihle.github.io/weirdml.html via Epoch AI |
Agentic tool use
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| BALROG | Average progress | 53.2% | Third party | max | — | https://balrogai.com/ via Epoch AI |
Professional knowledge work
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| APEX-Agents | Pass@1 (all rubric criteria met) | 58.2% | Source not stated | max | — | Epoch AI via Epoch AI |
Vision & multimodal understanding
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Furniture Assembly | Score | 54.2% | Independent | max | 10 Sep 2026 | Epoch AI |
Factuality & hallucination
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| SimpleQA Verified | Accuracy (% correct) | 43.2% | Independent | max | 10 Aug 2026 | Epoch AI |
Human preference
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Document Arena (arena.ai) | Arena score (Elo scale) | 1477 | Independent | xhigh | 13 Sep 2026 | Arena |
| Document Arena (arena.ai) | Votes | 5787 | Independent | xhigh | 13 Sep 2026 | Arena |
| Text Arena (arena.ai) | Arena score (Elo scale) | 1465 | Independent | xhigh | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Votes | 35323 | Independent | xhigh | 25 Sep 2026 | Arena |
| Vision Arena (arena.ai) | Arena score (Elo scale) | 1268 | Independent | xhigh | 28 Sep 2026 | Arena |
| Vision Arena (arena.ai) | Votes | 9990 | Independent | xhigh | 28 Sep 2026 | Arena |
Other GPT-5 versions
- GPT-5.6 Cyber10 Aug 2026
- GPT-5.6 Luna9 Jul 2026
- GPT-5.6 Sol9 Jul 2026
- GPT-5.523 Apr 2026
- GPT-5.5 Pro23 Apr 2026
- GPT-5.4 mini17 Mar 2026
- GPT-5.4 nano17 Mar 2026
- GPT-5.45 Mar 2026
- GPT-5.4 Pro5 Mar 2026
- GPT-5.3 Instant (gpt-5.3-chat-latest)3 Mar 2026
- GPT-5.211 Dec 2025
- GPT-5.2 Instant (gpt-5.2-chat-latest)11 Dec 2025
- GPT-5.2 Pro11 Dec 2025
- GPT-5.112 Nov 2025
- GPT-5.1 Instant (gpt-5.1-chat-latest)12 Nov 2025
- GPT-57 Aug 2025
- GPT-5 Instant (gpt-5-chat-latest)7 Aug 2025
- GPT-5 mini7 Aug 2025
- GPT-5 nano7 Aug 2025
- GPT-5 Pro7 Aug 2025
- GPT-5.4 Cyber—
- GPT-5.5 Cyber—