Model comparison
GPT-6 Luna vs Mistral
GPT-6 Luna is the stronger model overall, scoring 53.3 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. GPT-6 Luna 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-6 Luna leads 76.1 to 22.3.
Side by side
| GPT-6 Luna | Mistral | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 53.3 | 29.9 |
| Released | 2026-09-22 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 42 | 22 |
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Category by category
Coding GPT-6 Luna leads
GPT-6 Luna: 55.5 (#25), Mistral: 33.8 (#250)
| Benchmark | GPT-6 Luna | Mistral |
|---|---|---|
| LMArena Coding | 1439 | 1162 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1581 | — |
| SciCode | 54.6% | — |
| ALE-Bench | 1,577 | — |
Agentic & Tool Use Not comparable
GPT-6 Luna: 33.3 (#54), Mistral: —
| Benchmark | GPT-6 Luna | Mistral |
|---|---|---|
| APEX-Agents | 44.3% | — |
| GDP.pdf | 23% | — |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 48.2 (#41), Mistral: 22.2 (#200)
| Benchmark | GPT-6 Luna | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1411 | 1149 |
| ARC-AGI-2 | 59.3% | — |
| NYT Connections (extended) | 68.7% | — |
| ARC-AGI-1 | 86.7% | — |
| CritPt | 19.4% | — |
| Chess Puzzles | 31% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 90.1% | — |
| LMCA | 44.5% | — |
| Epoch Capabilities Index | 156.28 | — |
Math GPT-6 Luna leads
GPT-6 Luna: 76.1 (#15), Mistral: 22.3 (#278)
| Benchmark | GPT-6 Luna | Mistral |
|---|---|---|
| LMArena Math | 1416 | 1180 |
| FrontierMath (Tiers 1-3) | 78.9% | — |
| FrontierMath Tier 4 | 56.1% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 64% | — |
| Omni-MATH | — | 7.2% |
Knowledge GPT-6 Luna leads
GPT-6 Luna: 57.0 (#41), Mistral: 16.6 (#288)
| Benchmark | GPT-6 Luna | Mistral |
|---|---|---|
| LMArena Expert | 1444 | 1125 |
| GPQA Diamond | 90.5% | — |
| SimpleQA Verified | 41.4% | — |
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |
Multimodal Not comparable
GPT-6 Luna: 42.4 (#30), Mistral: —
| Benchmark | GPT-6 Luna | Mistral |
|---|---|---|
| LMArena Vision | 1217 | — |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 44.2% | — |
Multilingual GPT-6 Luna leads
GPT-6 Luna: 50.5 (#117), Mistral: 32.8 (#254)
| Benchmark | GPT-6 Luna | Mistral |
|---|---|---|
| LMArena Non-English | 1386 | 1129 |
| LMArena Chinese | 1433 | 1109 |
| LMArena French | 1420 | 1180 |
| LMArena German | 1369 | 1155 |
| LMArena Japanese | 1369 | 1013 |
| LMArena Korean | 1360 | 1032 |
| LMArena Russian | 1394 | 1168 |
| LMArena Spanish | 1393 | 1143 |
Instruction Following GPT-6 Luna leads
GPT-6 Luna: 74.3 (#99), Mistral: 52.6 (#288)
| Benchmark | GPT-6 Luna | Mistral |
|---|---|---|
| LMArena Instruction Following | 1409 | 1152 |
| IFEval | — | 56.8% |
Long Context GPT-6 Luna leads
GPT-6 Luna: 43.0 (#111), Mistral: 35.0 (#245)
| Benchmark | GPT-6 Luna | Mistral |
|---|---|---|
| LMArena Longer Query | 1409 | 1153 |
Writing & Preference GPT-6 Luna leads
GPT-6 Luna: 58.3 (#119), Mistral: 37.0 (#260)
| Benchmark | GPT-6 Luna | Mistral |
|---|---|---|
| LMArena Text | 1391 | 1165 |
| LMArena Creative Writing | 1363 | 1158 |
| LMArena Multi-Turn | 1396 | 1147 |
| WildBench | — | 66% |
Frequently asked questions
Is GPT-6 Luna better than Mistral?
GPT-6 Luna is the stronger model overall, scoring 53.3 to 29.9 on the Noometry Index.
Is GPT-6 Luna or Mistral better for coding?
GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 33.8 in the Noometry coding category.
How many benchmarks do GPT-6 Luna and Mistral share?
17 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Mistral has 22.