Model comparison
GPT-6.1 Sol vs Ministral 8B
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 28.2 on the Noometry Index. Ministral 8B costs 27× less per token, which makes it the better buy when GPT-6.1 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-6.1 Sol scores higher in 9 categories and Ministral 8B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 25.7.
- The biggest single-benchmark swing is GPQA Diamond: 95.4% for GPT-6.1 Sol and 27.1% for Ministral 8B.
- Ministral 8B is cheaper at $0.15 / $0.15 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.
- Ministral 8B has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Ministral 8B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 65.6 | 28.2 |
| Released | 2026-09-29 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $2 | $0.15 |
| Output $ / M tokens | $10 | $0.15 |
| Results tracked | 34 | 17 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Ministral 8B: 35.0 (#230)
| Benchmark | GPT-6.1 Sol | Ministral 8B |
|---|---|---|
| LMArena Coding | 1487 | 1202 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 39.6 (#26), Ministral 8B: 16.4 (#148)
| Benchmark | GPT-6.1 Sol | Ministral 8B |
|---|---|---|
| APEX-Agents | 60% | — |
| Berkeley Function Calling Leaderboard | — | 11.1% |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Ministral 8B: 18.4 (#281)
| Benchmark | GPT-6.1 Sol | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1466 | 1191 |
| ARC-AGI-2 | 94.2% | — |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| Chess Puzzles | 61% | — |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |
| DTBench | — | 45.7% |
| Epoch Capabilities Index | 166.09 | — |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Ministral 8B: 25.7 (#267)
| Benchmark | GPT-6.1 Sol | Ministral 8B |
|---|---|---|
| LMArena Math | 1464 | 1188 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 99% | — |
| MATH Level 5 | — | 14.9% |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Ministral 8B: 12.6 (#297)
| Benchmark | GPT-6.1 Sol | Ministral 8B |
|---|---|---|
| GPQA Diamond | 95.4% | 27.1% |
| LMArena Expert | 1502 | 1170 |
| SimpleQA Verified | 73.9% | — |
| Vectara Hallucination Rate | — | 7.4% |
Multimodal Not comparable
GPT-6.1 Sol: 52.7 (#5), Ministral 8B: —
| Benchmark | GPT-6.1 Sol | Ministral 8B |
|---|---|---|
| LMArena Vision | 1288 | — |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), Ministral 8B: 35.1 (#247)
| Benchmark | GPT-6.1 Sol | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1438 | 1165 |
| LMArena Chinese | 1477 | 1193 |
| LMArena Russian | 1455 | 1195 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), Ministral 8B: 60.5 (#250)
| Benchmark | GPT-6.1 Sol | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1468 | 1161 |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), Ministral 8B: 36.7 (#227)
| Benchmark | GPT-6.1 Sol | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1465 | 1212 |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), Ministral 8B: 39.6 (#246)
| Benchmark | GPT-6.1 Sol | Ministral 8B |
|---|---|---|
| LMArena Text | 1447 | 1191 |
| LMArena Creative Writing | 1432 | 1175 |
| LMArena Multi-Turn | 1449 | 1166 |
Frequently asked questions
Is GPT-6.1 Sol better than Ministral 8B?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 28.2 on the Noometry Index. Ministral 8B costs 27× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Which is cheaper, GPT-6.1 Sol or Ministral 8B?
Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Ministral 8B better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 35.0 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 Ministral 8B share?
13 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Ministral 8B has 17.