Model comparison
GPT-6.1 Sol vs Mistral Small
Mistral Small has enough public results to be ranked (#238); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 33.5.
- Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 256K.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Mistral Small | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.1 | 33.1 |
| Released | 2026-09-29 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 256K |
| Max output | 128K | 256K |
| Input $ / M tokens | $2 | $0.15 |
| Output $ / M tokens | $10 | $0.60 |
| Results tracked | 2 | 39 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 51.4, Mistral Small: 33.5 (#242)
| Benchmark | GPT-6.1 Sol | Mistral Small |
|---|---|---|
| DeepSWE | 75.2% | — |
| SciCode | — | 26.5% |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| LMArena Coding | — | 1363 |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 34.3, Mistral Small: 27.9 (#87)
| Benchmark | GPT-6.1 Sol | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
| GDP.pdf | 32% | — |
Reasoning Not comparable
GPT-6.1 Sol: —, Mistral Small: 19.3 (#238)
| Benchmark | GPT-6.1 Sol | Mistral Small |
|---|---|---|
| Kagi LLM Benchmark | — | 37.8% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 44.8% |
| LMArena Hard Prompts | — | 1336 |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| LiveBench | — | 44% |
Math Not comparable
GPT-6.1 Sol: —, Mistral Small: 15.4 (#287)
| Benchmark | GPT-6.1 Sol | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| LiveBench Math | — | 39.9% |
| LMArena Math | — | 1341 |
| MATH Level 5 | — | 46.8% |
Knowledge Not comparable
GPT-6.1 Sol: —, Mistral Small: 30.9 (#214)
| Benchmark | GPT-6.1 Sol | Mistral Small |
|---|---|---|
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| LMArena Expert | — | 1293 |
| MMLU | — | 68.7% |
Multimodal Not comparable
GPT-6.1 Sol: —, Mistral Small: 32.9 (#91)
| Benchmark | GPT-6.1 Sol | Mistral Small |
|---|---|---|
| LMArena Vision | — | 1142 |
Multilingual Not comparable
GPT-6.1 Sol: —, Mistral Small: 45.7 (#164)
| Benchmark | GPT-6.1 Sol | Mistral Small |
|---|---|---|
| LMArena Non-English | — | 1315 |
| LMArena Chinese | — | 1342 |
| LMArena French | — | 1337 |
| LMArena German | — | 1341 |
| LMArena Japanese | — | 1275 |
| LMArena Korean | — | 1260 |
| LMArena Russian | — | 1324 |
| LMArena Spanish | — | 1346 |
Instruction Following Not comparable
GPT-6.1 Sol: —, Mistral Small: 66.6 (#204)
| Benchmark | GPT-6.1 Sol | Mistral Small |
|---|---|---|
| LiveBench Instruction Following | — | 63.7% |
| LMArena Instruction Following | — | 1310 |
Long Context Not comparable
GPT-6.1 Sol: —, Mistral Small: 40.4 (#151)
| Benchmark | GPT-6.1 Sol | Mistral Small |
|---|---|---|
| LMArena Longer Query | — | 1327 |
Writing & Preference Not comparable
GPT-6.1 Sol: —, Mistral Small: 52.6 (#165)
| Benchmark | GPT-6.1 Sol | Mistral Small |
|---|---|---|
| LMArena Text | — | 1338 |
| LMArena Creative Writing | — | 1304 |
| LMArena Multi-Turn | — | 1344 |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is GPT-6.1 Sol better than Mistral Small?
Mistral Small has enough public results to be ranked (#238); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Which is cheaper, GPT-6.1 Sol or Mistral Small?
Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Mistral Small better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 33.5 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 256K.
How many benchmarks do GPT-6.1 Sol and Mistral Small share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Mistral Small has 39.