Model comparison
GPT-6 Luna vs Mistral Medium 3.1
GPT-6 Luna is the stronger model overall, scoring 45.1 to 31.5 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. GPT-6 Luna scores higher in 2 categories and Mistral Medium 3.1 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Luna leads 31.7 to 10.1.
- The biggest single-benchmark swing is NYT Connections (extended): 68.7% for GPT-6 Luna and 6.5% for Mistral Medium 3.1.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
- GPT-6 Luna accepts more context: 1.05M tokens versus 131K.
Side by side
| GPT-6 Luna | Mistral Medium 3.1 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 45.1 | 31.5 |
| Released | 2026-09-22 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 131K |
| Max output | 128K | 105K |
| Input $ / M tokens | $0.10 | $0.40 |
| Output $ / M tokens | $0.50 | $2 |
| Results tracked | 18 | 3 |
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Category by category
Coding Not comparable
GPT-6 Luna: 54.7 (#24), Mistral Medium 3.1: —
| Benchmark | GPT-6 Luna | Mistral Medium 3.1 |
|---|---|---|
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |
| LMArena Coding | 1448 | — |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 31.7 (#68), Mistral Medium 3.1: 10.1 (#336)
| Benchmark | GPT-6 Luna | Mistral Medium 3.1 |
|---|---|---|
| NYT Connections (extended) | 68.7% | 6.5% |
| Thematic Generalization | — | 20.3% |
| LMArena Hard Prompts | 1415 | — |
Math Not comparable
GPT-6 Luna: 35.6 (#140), Mistral Medium 3.1: —
| Benchmark | GPT-6 Luna | Mistral Medium 3.1 |
|---|---|---|
| LMArena Math | 1396 | — |
Knowledge Not comparable
GPT-6 Luna: 40.1 (#110), Mistral Medium 3.1: —
| Benchmark | GPT-6 Luna | Mistral Medium 3.1 |
|---|---|---|
| LMArena Expert | 1458 | — |
Multimodal Not comparable
GPT-6 Luna: 42.0 (#27), Mistral Medium 3.1: —
| Benchmark | GPT-6 Luna | Mistral Medium 3.1 |
|---|---|---|
| Furniture Assembly | 44.2% | — |
Multilingual Not comparable
GPT-6 Luna: 51.0 (#111), Mistral Medium 3.1: —
| Benchmark | GPT-6 Luna | Mistral Medium 3.1 |
|---|---|---|
| LMArena Non-English | 1390 | — |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1392 | — |
| LMArena Spanish | 1416 | — |
Instruction Following Not comparable
GPT-6 Luna: 74.7 (#85), Mistral Medium 3.1: —
| Benchmark | GPT-6 Luna | Mistral Medium 3.1 |
|---|---|---|
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
GPT-6 Luna: 43.3 (#95), Mistral Medium 3.1: —
| Benchmark | GPT-6 Luna | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1417 | — |
Writing & Preference GPT-6 Luna leads
GPT-6 Luna: 58.4 (#115), Mistral Medium 3.1: 55.6 (#140)
| Benchmark | GPT-6 Luna | Mistral Medium 3.1 |
|---|---|---|
| LMArena Text | 1392 | — |
| LMArena Creative Writing | 1357 | — |
| EQ-Bench Creative Writing | — | 1476 |
| LMArena Multi-Turn | 1400 | — |
Frequently asked questions
Is GPT-6 Luna better than Mistral Medium 3.1?
GPT-6 Luna is the stronger model overall, scoring 45.1 to 31.5 on the Noometry Index.
Which is cheaper, GPT-6 Luna or Mistral Medium 3.1?
GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.
Which has the bigger context window?
GPT-6 Luna does, with 1.05M tokens against 131K.
How many benchmarks do GPT-6 Luna and Mistral Medium 3.1 share?
1 benchmark has published results for both models. GPT-6 Luna has 18 scored results on Noometry and Mistral Medium 3.1 has 3.