Model comparison
GPT-6 Sol vs Mistral Small 3
GPT-6 Sol is the stronger model overall, scoring 49.2 to 30.9 on the Noometry Index. Mistral Small 3 costs 70× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
Mistral AISummary
- They share 13 benchmarks with published results for both. GPT-6 Sol scores higher in 8 categories and Mistral Small 3 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-6 Sol leads 72.3 to 32.4.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 33K.
- Mistral Small 3 has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Sol | Mistral Small 3 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 49.2 | 30.9 |
| Released | 2026-09-22 | 2025-01-30 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 33K |
| Max output | 128K | 16K |
| Input $ / M tokens | $2 | $0.05 |
| Output $ / M tokens | $10 | $0.08 |
| Results tracked | 22 | 24 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 59.6 (#11), Mistral Small 3: 36.0 (#203)
| Benchmark | GPT-6 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Coding | 1453 | 1246 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1692 | — |
| BigCodeBench Instruct | — | 45.3% |
| BigCodeBench Complete | — | 50.4% |
Agentic & Tool Use Not comparable
GPT-6 Sol: 33.5 (#49), Mistral Small 3: —
| Benchmark | GPT-6 Sol | Mistral Small 3 |
|---|---|---|
| GDP.pdf | 28% | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 49.3 (#34), Mistral Small 3: 18.2 (#269)
| Benchmark | GPT-6 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1233 |
| NYT Connections (extended) | 90.1% | — |
| Chess Puzzles | — | 0% |
| EBR-Bench | 53.3% | — |
| Epoch Capabilities Index | — | 127.06 |
Math GPT-6 Sol leads
GPT-6 Sol: 35.8 (#135), Mistral Small 3: 15.3 (#290)
| Benchmark | GPT-6 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Math | 1404 | 1240 |
| OTIS Mock AIME 2024-2025 | — | 6.7% |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 43.0 (#87), Mistral Small 3: 25.0 (#258)
| Benchmark | GPT-6 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Expert | 1449 | 1202 |
| GPQA Diamond | — | 47.3% |
| Confabulations | — | 25.2% |
| Vectara Hallucination Rate | 6.5% | — |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#9), Mistral Small 3: —
| Benchmark | GPT-6 Sol | Mistral Small 3 |
|---|---|---|
| Furniture Assembly | 58.3% | — |
Multilingual GPT-6 Sol leads
GPT-6 Sol: 51.0 (#113), Mistral Small 3: 37.5 (#231)
| Benchmark | GPT-6 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Non-English | 1389 | 1198 |
| LMArena Chinese | 1416 | 1204 |
| LMArena Russian | 1407 | 1216 |
| LMArena French | — | 1202 |
| LMArena German | — | 1211 |
| LMArena Japanese | — | 1111 |
| LMArena Korean | — | 1188 |
| LMArena Spanish | 1377 | — |
Instruction Following GPT-6 Sol leads
GPT-6 Sol: 74.4 (#97), Mistral Small 3: 63.9 (#224)
| Benchmark | GPT-6 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Instruction Following | 1406 | 1214 |
Long Context GPT-6 Sol leads
GPT-6 Sol: 43.2 (#100), Mistral Small 3: 37.8 (#206)
| Benchmark | GPT-6 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Longer Query | 1415 | 1246 |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 72.3 (#15), Mistral Small 3: 32.4 (#275)
| Benchmark | GPT-6 Sol | Mistral Small 3 |
|---|---|---|
| LMArena Text | 1396 | 1234 |
| LMArena Creative Writing | 1392 | 1195 |
| EQ-Bench Creative Writing | 2125 | 707 |
| LMArena Multi-Turn | 1405 | 1217 |
Frequently asked questions
Is GPT-6 Sol better than Mistral Small 3?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 30.9 on the Noometry Index. Mistral Small 3 costs 70× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Which is cheaper, GPT-6 Sol or Mistral Small 3?
Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is GPT-6 Sol or Mistral Small 3 better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 33K.
How many benchmarks do GPT-6 Sol and Mistral Small 3 share?
13 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Mistral Small 3 has 24.