Model comparison
GPT-5.3 Chat vs Mistral
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Mistral in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 37.0.
Side by side
| GPT-5.3 Chat | Mistral | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.8 | 29.9 |
| Released | 2026-03-03 | — |
| Weights | Proprietary | Proprietary |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 18 | 22 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 41.4 (#124), Mistral: 33.8 (#250)
| Benchmark | GPT-5.3 Chat | Mistral |
|---|---|---|
| LMArena Coding | 1408 | 1162 |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), Mistral: 22.2 (#200)
| Benchmark | GPT-5.3 Chat | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1149 |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#142), Mistral: 22.3 (#278)
| Benchmark | GPT-5.3 Chat | Mistral |
|---|---|---|
| LMArena Math | 1389 | 1180 |
| Omni-MATH | — | 7.2% |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.8 (#140), Mistral: 16.6 (#288)
| Benchmark | GPT-5.3 Chat | Mistral |
|---|---|---|
| LMArena Expert | 1397 | 1125 |
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.3 (#124), Mistral: 32.8 (#254)
| Benchmark | GPT-5.3 Chat | Mistral |
|---|---|---|
| LMArena Non-English | 1382 | 1129 |
| LMArena Chinese | 1432 | 1109 |
| LMArena French | 1397 | 1180 |
| LMArena German | 1384 | 1155 |
| LMArena Japanese | 1352 | 1013 |
| LMArena Korean | 1346 | 1032 |
| LMArena Russian | 1400 | 1168 |
| LMArena Spanish | 1371 | 1143 |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 72.8 (#129), Mistral: 52.6 (#288)
| Benchmark | GPT-5.3 Chat | Mistral |
|---|---|---|
| LMArena Instruction Following | 1378 | 1152 |
| IFEval | — | 56.8% |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#120), Mistral: 35.0 (#245)
| Benchmark | GPT-5.3 Chat | Mistral |
|---|---|---|
| LMArena Longer Query | 1396 | 1153 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), Mistral: 37.0 (#260)
| Benchmark | GPT-5.3 Chat | Mistral |
|---|---|---|
| LMArena Text | 1389 | 1165 |
| LMArena Creative Writing | 1355 | 1158 |
| LMArena Multi-Turn | 1412 | 1147 |
| EQ-Bench Creative Writing | 1690 | — |
| WildBench | — | 66% |
Frequently asked questions
Is GPT-5.3 Chat better than Mistral?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.9 on the Noometry Index.
Is GPT-5.3 Chat or Mistral better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 33.8 in the Noometry coding category.
How many benchmarks do GPT-5.3 Chat and Mistral share?
17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Mistral has 22.