Model comparison
GPT-6 Sol vs Magistral Medium
GPT-6 Sol is the stronger model overall, scoring 61.8 to 35.2 on the Noometry Index.
Last verified . 21 shared benchmarks.
Mistral AISummary
- They share 21 benchmarks with published results for both. GPT-6 Sol scores higher in 8 categories and Magistral Medium in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 74.0 to 8.6.
- The biggest single-benchmark swing is ARC-AGI-2: 89.6% for GPT-6 Sol and 0% for Magistral Medium.
- Magistral Medium is cheaper at $2 / $5 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 262K.
- Magistral Medium has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Sol | Magistral Medium | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 61.8 | 35.2 |
| Released | 2026-09-22 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 16K |
| Input $ / M tokens | $2 | $2 |
| Output $ / M tokens | $10 | $5 |
| Results tracked | 45 | 22 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 60.1 (#11), Magistral Medium: 39.1 (#161)
| Benchmark | GPT-6 Sol | Magistral Medium |
|---|---|---|
| SciCode | 57.6% | 39.2% |
| LMArena Coding | 1447 | 1319 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1688 | — |
| ALE-Bench | 2,462 | — |
Agentic & Tool Use Not comparable
GPT-6 Sol: 37.2 (#36), Magistral Medium: —
| Benchmark | GPT-6 Sol | Magistral Medium |
|---|---|---|
| APEX-Agents | 54.3% | — |
| GDP.pdf | 26.4% | — |
| Vending-Bench 2 | 14,428 | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 74.0 (#9), Magistral Medium: 8.6 (#348)
| Benchmark | GPT-6 Sol | Magistral Medium |
|---|---|---|
| ARC-AGI-2 | 89.6% | 0% |
| ARC-AGI-1 | 95.5% | 6.1% |
| CritPt | 30.9% | 0.3% |
| LMArena Hard Prompts | 1418 | 1267 |
| Kagi LLM Benchmark | — | 16.2% |
| NYT Connections (extended) | 90.1% | — |
| EBR-Bench | 53.3% | — |
| Mystery Game Puzzles | 56% | — |
| DTBench | 97.3% | — |
| LMCA | 59.1% | — |
| Epoch Capabilities Index | 162.72 | — |
Math GPT-6 Sol leads
GPT-6 Sol: 87.2 (#7), Magistral Medium: 35.1 (#189)
| Benchmark | GPT-6 Sol | Magistral Medium |
|---|---|---|
| LMArena Math | 1402 | 1250 |
| FrontierMath (Tiers 1-3) | 89.8% | — |
| FrontierMath Tier 4 | 90% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 83% | — |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 64.8 (#15), Magistral Medium: 33.5 (#202)
| Benchmark | GPT-6 Sol | Magistral Medium |
|---|---|---|
| LMArena Expert | 1439 | 1223 |
| GPQA Diamond | 94.3% | — |
| SimpleQA Verified | 60.7% | — |
| Vectara Hallucination Rate | 6.5% | — |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#10), Magistral Medium: —
| Benchmark | GPT-6 Sol | Magistral Medium |
|---|---|---|
| LMArena Vision | 1245 | — |
| Blueprint-Bench 2 | 36.9% | — |
| Furniture Assembly | 58.3% | — |
Multilingual GPT-6 Sol leads
GPT-6 Sol: 50.5 (#118), Magistral Medium: 39.6 (#224)
| Benchmark | GPT-6 Sol | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1385 | 1232 |
| LMArena Chinese | 1405 | 1227 |
| LMArena French | 1410 | 1267 |
| LMArena German | 1390 | 1248 |
| LMArena Japanese | 1385 | 1175 |
| LMArena Korean | 1341 | 1125 |
| LMArena Russian | 1401 | 1224 |
| LMArena Spanish | 1384 | 1271 |
Instruction Following GPT-6 Sol leads
GPT-6 Sol: 74.5 (#94), Magistral Medium: 66.0 (#211)
| Benchmark | GPT-6 Sol | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1412 | 1254 |
Long Context GPT-6 Sol leads
GPT-6 Sol: 43.1 (#108), Magistral Medium: 39.3 (#183)
| Benchmark | GPT-6 Sol | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1411 | 1295 |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 71.9 (#18), Magistral Medium: 46.3 (#219)
| Benchmark | GPT-6 Sol | Magistral Medium |
|---|---|---|
| LMArena Text | 1395 | 1255 |
| LMArena Creative Writing | 1378 | 1245 |
| LMArena Multi-Turn | 1412 | 1275 |
| EQ-Bench Creative Writing | 2125 | — |
Frequently asked questions
Is GPT-6 Sol better than Magistral Medium?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 35.2 on the Noometry Index.
Which is cheaper, GPT-6 Sol or Magistral Medium?
Magistral Medium is cheaper. It lists at $2 per million input tokens and $5 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is GPT-6 Sol or Magistral Medium better for coding?
GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 39.1 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 262K.
How many benchmarks do GPT-6 Sol and Magistral Medium share?
21 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and Magistral Medium has 22.