Model comparison
GPT-6.1 Sol vs Magistral Small
Magistral Small has enough public results to be ranked (#289); 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 37.8.
- Magistral Small is cheaper at $0.50 / $1.50 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 128K.
- Magistral Small has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Magistral Small | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.1 | 29.9 |
| Released | 2026-09-29 | 2025-06-10 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 128K | 40K |
| Input $ / M tokens | $2 | $0.50 |
| Output $ / M tokens | $10 | $1.50 |
| Results tracked | 2 | 10 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 51.4, Magistral Small: 37.8 (#172)
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 34.3, Magistral Small: —
| Benchmark | GPT-6.1 Sol | Magistral Small |
|---|---|---|
| GDP.pdf | 32% | — |
Reasoning Not comparable
GPT-6.1 Sol: —, Magistral Small: 6.9 (#345)
| Benchmark | GPT-6.1 Sol | Magistral Small |
|---|---|---|
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 6.3% |
| ARC-AGI-1 | — | 5% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 3% |
| DTBench | — | 61.3% |
| Epoch Capabilities Index | — | 133.19 |
Math Not comparable
GPT-6.1 Sol: —, Magistral Small: 24.9 (#253)
| Benchmark | GPT-6.1 Sol | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30% |
Knowledge Not comparable
GPT-6.1 Sol: —, Magistral Small: 30.9 (#215)
| Benchmark | GPT-6.1 Sol | Magistral Small |
|---|---|---|
| GPQA Diamond | — | 56.1% |
Frequently asked questions
Is GPT-6.1 Sol better than Magistral Small?
Magistral Small has enough public results to be ranked (#289); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Which is cheaper, GPT-6.1 Sol or Magistral Small?
Magistral Small is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Magistral Small better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 37.8 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 128K.
How many benchmarks do GPT-6.1 Sol and Magistral Small share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Magistral Small has 10.