Model comparison
GPT-5.6 Terra vs Mistral
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. GPT-5.6 Terra scores higher in 8 categories and Mistral in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 22.3.
Side by side
| GPT-5.6 Terra | Mistral | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 59.2 | 29.9 |
| Released | 2026-07-09 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $12 | — |
| Results tracked | 52 | 22 |
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Category by category
Coding GPT-5.6 Terra leads
GPT-5.6 Terra: 57.7 (#19), Mistral: 33.8 (#250)
| Benchmark | GPT-5.6 Terra | Mistral |
|---|---|---|
| LMArena Coding | 1484 | 1162 |
| DeepSWE | 69.6% | — |
| FrontierCode | 41.3% | — |
| CursorBench | 41.3% | — |
| LMArena WebDev | 1522 | — |
| SciCode | 55% | — |
| WeirdML | 78.3% | — |
| ALE-Bench | 1,951 | — |
Agentic & Tool Use Not comparable
GPT-5.6 Terra: 40.1 (#25), Mistral: —
| Benchmark | GPT-5.6 Terra | Mistral |
|---|---|---|
| APEX-Agents | 58.2% | — |
| BALROG | 53.2% | — |
| GDP.pdf | 24.7% | — |
| Vending-Bench 2 | 7,343 | — |
Reasoning GPT-5.6 Terra leads
GPT-5.6 Terra: 60.7 (#21), Mistral: 22.2 (#200)
| Benchmark | GPT-5.6 Terra | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1468 | 1149 |
| ARC-AGI-2 | 83.9% | — |
| SimpleBench | 48.9% | — |
| Kagi LLM Benchmark | 51.3% | — |
| NYT Connections (extended) | 78.4% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30% | — |
| Chess Puzzles | 54% | — |
| Mystery Game Puzzles | 35% | — |
| DTBench | 93.3% | — |
| LMCA | 55% | — |
| Surface Evolver Bench | 83.8% | — |
| Epoch Capabilities Index | 159.62 | — |
Math GPT-5.6 Terra leads
GPT-5.6 Terra: 81.6 (#12), Mistral: 22.3 (#278)
| Benchmark | GPT-5.6 Terra | Mistral |
|---|---|---|
| LMArena Math | 1466 | 1180 |
| FrontierMath (Tiers 1-3) | 86% | — |
| FrontierMath Tier 4 | 70.7% | — |
| OTIS Mock AIME 2024-2025 | 99.7% | — |
| ProofBench | 74% | — |
| Omni-MATH | — | 7.2% |
Knowledge GPT-5.6 Terra leads
GPT-5.6 Terra: 61.2 (#30), Mistral: 16.6 (#288)
| Benchmark | GPT-5.6 Terra | Mistral |
|---|---|---|
| LMArena Expert | 1492 | 1125 |
| GPQA Diamond | 93.3% | — |
| SimpleQA Verified | 43.2% | — |
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |
Multimodal Not comparable
GPT-5.6 Terra: 47.3 (#11), Mistral: —
| Benchmark | GPT-5.6 Terra | Mistral |
|---|---|---|
| LMArena Vision | 1271 | — |
| Blueprint-Bench 2 | 30.8% | — |
| Furniture Assembly | 54.2% | — |
| LMArena Document | 1472 | — |
Multilingual GPT-5.6 Terra leads
GPT-5.6 Terra: 54.4 (#44), Mistral: 32.8 (#254)
| Benchmark | GPT-5.6 Terra | Mistral |
|---|---|---|
| LMArena Non-English | 1439 | 1129 |
| LMArena Chinese | 1513 | 1109 |
| LMArena French | 1471 | 1180 |
| LMArena German | 1460 | 1155 |
| LMArena Japanese | 1457 | 1013 |
| LMArena Korean | 1425 | 1032 |
| LMArena Russian | 1450 | 1168 |
| LMArena Spanish | 1448 | 1143 |
Instruction Following GPT-5.6 Terra leads
GPT-5.6 Terra: 76.4 (#40), Mistral: 52.6 (#288)
| Benchmark | GPT-5.6 Terra | Mistral |
|---|---|---|
| LMArena Instruction Following | 1454 | 1152 |
| IFEval | — | 56.8% |
Long Context GPT-5.6 Terra leads
GPT-5.6 Terra: 44.4 (#68), Mistral: 35.0 (#245)
| Benchmark | GPT-5.6 Terra | Mistral |
|---|---|---|
| LMArena Longer Query | 1451 | 1153 |
Writing & Preference GPT-5.6 Terra leads
GPT-5.6 Terra: 70.2 (#23), Mistral: 37.0 (#260)
| Benchmark | GPT-5.6 Terra | Mistral |
|---|---|---|
| LMArena Text | 1447 | 1165 |
| LMArena Creative Writing | 1410 | 1158 |
| LMArena Multi-Turn | 1449 | 1147 |
| EQ-Bench Creative Writing | 1855 | — |
| WildBench | — | 66% |
| EQ-Bench 4 | 1234 | — |
Frequently asked questions
Is GPT-5.6 Terra better than Mistral?
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 29.9 on the Noometry Index.
Is GPT-5.6 Terra or Mistral better for coding?
GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 33.8 in the Noometry coding category.
How many benchmarks do GPT-5.6 Terra and Mistral share?
17 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and Mistral has 22.