Model comparison
GPT-6.1 Sol vs Mistral Medium 3.5
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 40.2 on the Noometry Index.
Last verified . 16 shared benchmarks.
Mistral AISummary
- They share 16 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and Mistral Medium 3.5 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 17.3.
- The biggest single-benchmark swing is NYT Connections (extended): 95.5% for GPT-6.1 Sol and 12.9% for Mistral Medium 3.5.
- Mistral Medium 3.5 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 3.5 has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Mistral Medium 3.5 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 65.6 | 40.2 |
| Released | 2026-09-29 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 210K |
| Input $ / M tokens | $2 | $1.50 |
| Output $ / M tokens | $10 | $7.50 |
| Results tracked | 34 | 22 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | GPT-6.1 Sol | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1755 | 1264 |
| LMArena Coding | 1487 | 1461 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| SciCode | 55.8% | — |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 39.6 (#26), Mistral Medium 3.5: —
| Benchmark | GPT-6.1 Sol | Mistral Medium 3.5 |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | GPT-6.1 Sol | Mistral Medium 3.5 |
|---|---|---|
| NYT Connections (extended) | 95.5% | 12.9% |
| LMArena Hard Prompts | 1466 | 1436 |
| Epoch Capabilities Index | 166.09 | 141.35 |
| ARC-AGI-2 | 94.2% | — |
| Kagi LLM Benchmark | — | 41.4% |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| Chess Puzzles | 61% | — |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | GPT-6.1 Sol | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1464 | 1431 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 99% | — |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | GPT-6.1 Sol | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1502 | 1432 |
| GPQA Diamond | 95.4% | — |
| SimpleQA Verified | 73.9% | — |
Multimodal GPT-6.1 Sol leads
GPT-6.1 Sol: 52.7 (#5), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | GPT-6.1 Sol | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1288 | 1223 |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | GPT-6.1 Sol | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1438 | 1404 |
| LMArena Chinese | 1477 | 1442 |
| LMArena Russian | 1455 | 1395 |
| LMArena French | — | 1448 |
| LMArena German | — | 1451 |
| LMArena Korean | — | 1385 |
| LMArena Spanish | — | 1409 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | GPT-6.1 Sol | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1468 | 1415 |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | GPT-6.1 Sol | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1465 | 1415 |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | GPT-6.1 Sol | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1447 | 1421 |
| LMArena Creative Writing | 1432 | 1374 |
| LMArena Multi-Turn | 1449 | 1423 |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is GPT-6.1 Sol better than Mistral Medium 3.5?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 40.2 on the Noometry Index.
Which is cheaper, GPT-6.1 Sol or Mistral Medium 3.5?
Mistral Medium 3.5 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 3.5 better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 36.0 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 3.5 share?
16 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Mistral Medium 3.5 has 22.