Model comparison
GPT-6.1 Sol vs Mistral Medium
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 36.3 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. GPT-6.1 Sol scores higher in 10 categories and Mistral Medium in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 28.1.
- The biggest single-benchmark swing is ProofBench: 99% for GPT-6.1 Sol and 9% for Mistral Medium.
- Mistral Medium is cheaper at $1.50 / $7.50 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 262K.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Mistral Medium | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 65.6 | 36.3 |
| Released | 2026-09-29 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $2 | $1.50 |
| Output $ / M tokens | $10 | $7.50 |
| Results tracked | 34 | 36 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Mistral Medium: 34.2 (#243)
| Benchmark | GPT-6.1 Sol | Mistral Medium |
|---|---|---|
| FrontierCode | 50.2% | 8% |
| SciCode | 55.8% | 40.2% |
| LMArena Coding | 1487 | 1434 |
| DeepSWE | 75.2% | — |
| LMArena WebDev | 1755 | — |
| WeirdML | — | 43.7% |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 39.6 (#26), Mistral Medium: 28.3 (#90)
| Benchmark | GPT-6.1 Sol | Mistral Medium |
|---|---|---|
| APEX-Agents | 60% | — |
| Berkeley Function Calling Leaderboard | — | 37.7% |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Mistral Medium: 24.0 (#167)
| Benchmark | GPT-6.1 Sol | Mistral Medium |
|---|---|---|
| CritPt | 31.7% | 0% |
| LMArena Hard Prompts | 1466 | 1426 |
| ARC-AGI-2 | 94.2% | — |
| Kagi LLM Benchmark | — | 50% |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| Chess Puzzles | 61% | — |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 166.09 | — |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Mistral Medium: 28.1 (#245)
| Benchmark | GPT-6.1 Sol | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 32.2% |
| ProofBench | 99% | 9% |
| LMArena Math | 1464 | 1408 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Mistral Medium: 25.0 (#265)
| Benchmark | GPT-6.1 Sol | Mistral Medium |
|---|---|---|
| GPQA Diamond | 95.4% | 59.5% |
| LMArena Expert | 1502 | 1408 |
| Humanity's Last Exam | — | 4.5% |
| SimpleQA Verified | 73.9% | — |
| Vectara Hallucination Rate | — | 22.7% |
Multimodal GPT-6.1 Sol leads
GPT-6.1 Sol: 52.7 (#5), Mistral Medium: 35.3 (#88)
| Benchmark | GPT-6.1 Sol | Mistral Medium |
|---|---|---|
| LMArena Vision | 1288 | 1172 |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), Mistral Medium: 52.1 (#91)
| Benchmark | GPT-6.1 Sol | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1438 | 1408 |
| LMArena Chinese | 1477 | 1447 |
| LMArena Russian | 1455 | 1411 |
| LMArena French | — | 1459 |
| LMArena German | — | 1432 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1380 |
| LMArena Spanish | — | 1433 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), Mistral Medium: 73.7 (#116)
| Benchmark | GPT-6.1 Sol | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1468 | 1398 |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), Mistral Medium: 42.9 (#114)
| Benchmark | GPT-6.1 Sol | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1465 | 1406 |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), Mistral Medium: 60.0 (#103)
| Benchmark | GPT-6.1 Sol | Mistral Medium |
|---|---|---|
| LMArena Text | 1447 | 1424 |
| LMArena Creative Writing | 1432 | 1391 |
| LMArena Multi-Turn | 1449 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
Frequently asked questions
Is GPT-6.1 Sol better than Mistral Medium?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 36.3 on the Noometry Index.
Which is cheaper, GPT-6.1 Sol or Mistral Medium?
Mistral Medium is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Mistral Medium better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 262K.
How many benchmarks do GPT-6.1 Sol and Mistral Medium share?
19 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Mistral Medium has 36.