Model comparison
GPT-4.1 vs Ministral 8B
GPT-4.1 is the stronger model overall, scoring 35.9 to 28.2 on the Noometry Index. Ministral 8B costs 23× less per token, which makes it the better buy when GPT-4.1's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. GPT-4.1 scores higher in 6 categories and Ministral 8B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.1 leads 37.1 to 12.6.
- The biggest single-benchmark swing is MATH Level 5: 83% for GPT-4.1 and 14.9% for Ministral 8B.
- Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $2 / $8 for GPT-4.1.
- GPT-4.1 accepts more context: 1.05M tokens versus 262K.
- Ministral 8B has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 | Ministral 8B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 35.9 | 28.2 |
| Released | 2025-04-14 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 33K | 262K |
| Input $ / M tokens | $2 | $0.15 |
| Output $ / M tokens | $8 | $0.15 |
| Results tracked | 52 | 17 |
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Category by category
Coding Too close to call
GPT-4.1: 34.4 (#238), Ministral 8B: 35.0 (#230)
| Benchmark | GPT-4.1 | Ministral 8B |
|---|---|---|
| LMArena Coding | 1391 | 1202 |
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| WeirdML | 39% | — |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |
Agentic & Tool Use GPT-4.1 leads
GPT-4.1: 34.7 (#43), Ministral 8B: 16.4 (#148)
| Benchmark | GPT-4.1 | Ministral 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | 11.1% |
Reasoning Ministral 8B leads
GPT-4.1: 11.7 (#339), Ministral 8B: 18.4 (#281)
| Benchmark | GPT-4.1 | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1191 |
| DTBench | 68.3% | 45.7% |
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| Kagi LLM Benchmark | 52.3% | — |
| ARC-AGI-1 | 5.5% | — |
| Chess Puzzles | 6% | — |
| EnigmaEval | 2.2% | — |
| LMCA | 25.6% | — |
| Epoch Capabilities Index | 136.78 | — |
| ForecastBench | 61.5 | — |
Math Ministral 8B leads
GPT-4.1: 22.3 (#280), Ministral 8B: 25.7 (#267)
| Benchmark | GPT-4.1 | Ministral 8B |
|---|---|---|
| LMArena Math | 1370 | 1188 |
| MATH Level 5 | 83% | 14.9% |
| FrontierMath (Tiers 1-3) | 6% | — |
| OTIS Mock AIME 2024-2025 | 38.3% | — |
| Omni-MATH | 47.1% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GPT-4.1 leads
GPT-4.1: 37.1 (#160), Ministral 8B: 12.6 (#297)
| Benchmark | GPT-4.1 | Ministral 8B |
|---|---|---|
| GPQA Diamond | 66.9% | 27.1% |
| Vectara Hallucination Rate | 5.6% | 7.4% |
| LMArena Expert | 1364 | 1170 |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | 31.1% | — |
| MMLU-Pro | 81.1% | — |
| GPQA (HELM) | 65.9% | — |
Multimodal Not comparable
GPT-4.1: 38.2 (#67), Ministral 8B: —
| Benchmark | GPT-4.1 | Ministral 8B |
|---|---|---|
| LMArena Vision | 1211 | — |
| GeoBench | 72% | — |
Multilingual GPT-4.1 leads
GPT-4.1: 49.4 (#133), Ministral 8B: 35.1 (#247)
| Benchmark | GPT-4.1 | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1370 | 1165 |
| LMArena Chinese | 1382 | 1193 |
| LMArena Russian | 1377 | 1195 |
| LMArena French | 1382 | — |
| LMArena German | 1381 | — |
| LMArena Japanese | 1319 | — |
| LMArena Korean | 1339 | — |
| LMArena Spanish | 1376 | — |
Instruction Following GPT-4.1 leads
GPT-4.1: 71.3 (#153), Ministral 8B: 60.5 (#250)
| Benchmark | GPT-4.1 | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1367 | 1161 |
| IFEval | 83.8% | — |
Long Context GPT-4.1 leads
GPT-4.1: 40.0 (#163), Ministral 8B: 36.7 (#227)
| Benchmark | GPT-4.1 | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1385 | 1212 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.1 leads
GPT-4.1: 57.6 (#125), Ministral 8B: 39.6 (#246)
| Benchmark | GPT-4.1 | Ministral 8B |
|---|---|---|
| LMArena Text | 1383 | 1191 |
| LMArena Creative Writing | 1363 | 1175 |
| LMArena Multi-Turn | 1398 | 1166 |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is GPT-4.1 better than Ministral 8B?
GPT-4.1 is the stronger model overall, scoring 35.9 to 28.2 on the Noometry Index. Ministral 8B costs 23× less per token, which makes it the better buy when GPT-4.1's lead doesn't matter for your workload.
Which is cheaper, GPT-4.1 or Ministral 8B?
Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-4.1 lists at $2 and $8.
Is GPT-4.1 or Ministral 8B better for coding?
They score almost the same on coding (34.4 vs 35.0); test both on your own repository before choosing.
Which has the bigger context window?
GPT-4.1 does, with 1.05M tokens against 262K.
How many benchmarks do GPT-4.1 and Ministral 8B share?
17 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Ministral 8B has 17.