Model comparison
GPT-4o vs Ministral 8B
GPT-4o and Ministral 8B score almost the same on the Noometry Index (28.6 vs 28.2), so choose on price, context window or the category you care about most.
Last verified . 16 shared benchmarks.
Mistral AISummary
- They share 16 benchmarks with published results for both. GPT-4o scores higher in 6 categories and Ministral 8B in 3 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4o leads 28.8 to 12.6.
- The biggest single-benchmark swing is MATH Level 5: 53.3% for GPT-4o and 14.9% for Ministral 8B.
- Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $2.50 / $10 for GPT-4o.
- Ministral 8B accepts more context: 262K tokens versus 128K.
- Ministral 8B has downloadable open weights; the other is API-only.
Side by side
| GPT-4o | Ministral 8B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 28.6 | 28.2 |
| Released | 2024-05-13 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | 128K | 262K |
| Max output | 16K | 262K |
| Input $ / M tokens | $2.50 | $0.15 |
| Output $ / M tokens | $10 | $0.15 |
| Results tracked | 72 | 17 |
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Category by category
Coding Ministral 8B leads
GPT-4o: 24.8 (#328), Ministral 8B: 35.0 (#230)
| Benchmark | GPT-4o | Ministral 8B |
|---|---|---|
| LMArena Coding | 1297 | 1202 |
| SWE-bench Verified | 31% | — |
| SWE-bench Verified (bash only) | 21.6% | — |
| Aider Polyglot | 45.3% | — |
| GSO | 0% | — |
| WeirdML | 25.1% | — |
| BigCodeBench Instruct | 51.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 61.1% | — |
| CadEval | 26% | — |
| HumanEval+ | 87.2% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use GPT-4o leads
GPT-4o: 21.0 (#141), Ministral 8B: 16.4 (#148)
| Benchmark | GPT-4o | Ministral 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 11.1% |
| GDPval | 9.9% | — |
| TheAgentCompany | 8.6% | — |
| Cybench | 12.5% | — |
| BALROG | 32.3% | — |
| LMArena Search | 1006 | — |
| METR Time Horizons | 40.8% | — |
Reasoning Ministral 8B leads
GPT-4o: 9.4 (#343), Ministral 8B: 18.4 (#281)
| Benchmark | GPT-4o | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1281 | 1191 |
| DTBench | 64.5% | 45.7% |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 17.8% | — |
| ARC-AGI-1 | 4.5% | — |
| CritPt | 0% | — |
| Chess Puzzles | 13% | — |
| EnigmaEval | 0.8% | — |
| LiveBench Reasoning | 55.8% | — |
| LiveBench Data Analysis | 60.9% | — |
| LMCA | 16.6% | — |
| Epoch Capabilities Index | 128.97 | — |
| ForecastBench | 57.7 | — |
| LiveBench | 55.3% | — |
Math Ministral 8B leads
GPT-4o: 10.6 (#312), Ministral 8B: 25.7 (#267)
| Benchmark | GPT-4o | Ministral 8B |
|---|---|---|
| LMArena Math | 1285 | 1188 |
| MATH Level 5 | 53.3% | 14.9% |
| FrontierMath (Tiers 1-3) | 0.4% | — |
| OTIS Mock AIME 2024-2025 | 6.4% | — |
| Omni-MATH | 29.3% | — |
| LiveBench Math | 49.5% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge GPT-4o leads
GPT-4o: 28.8 (#242), Ministral 8B: 12.6 (#297)
| Benchmark | GPT-4o | Ministral 8B |
|---|---|---|
| GPQA Diamond | 49.2% | 27.1% |
| Vectara Hallucination Rate | 9.6% | 7.4% |
| LMArena Expert | 1250 | 1170 |
| Humanity's Last Exam | 2.7% | — |
| SimpleQA Verified | 26% | — |
| MMLU-Pro | 71.3% | — |
| Confabulations | 15.3% | — |
| GPQA (HELM) | 52% | — |
| MMLU | 88.1% | — |
Multimodal Not comparable
GPT-4o: 34.5 (#91), Ministral 8B: —
| Benchmark | GPT-4o | Ministral 8B |
|---|---|---|
| LMArena Vision | 1137 | — |
| Video-MME | 71.9% | — |
| GeoBench | 71% | — |
| VPCT | 40% | — |
| ScienceQA | 88.5% | — |
Multilingual GPT-4o leads
GPT-4o: 43.2 (#186), Ministral 8B: 35.1 (#247)
| Benchmark | GPT-4o | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1283 | 1165 |
| LMArena Chinese | 1277 | 1193 |
| LMArena Russian | 1286 | 1195 |
| LMArena French | 1304 | — |
| LMArena German | 1282 | — |
| LMArena Japanese | 1257 | — |
| LMArena Korean | 1234 | — |
| LMArena Spanish | 1292 | — |
Instruction Following GPT-4o leads
GPT-4o: 66.6 (#207), Ministral 8B: 60.5 (#250)
| Benchmark | GPT-4o | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1278 | 1161 |
| LiveBench Instruction Following | 68.6% | — |
| IFEval | 81.7% | — |
Long Context GPT-4o leads
GPT-4o: 39.4 (#179), Ministral 8B: 36.7 (#227)
| Benchmark | GPT-4o | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1289 | 1212 |
| Fiction.LiveBench | 66.7% | — |
Writing & Preference GPT-4o leads
GPT-4o: 52.6 (#166), Ministral 8B: 39.6 (#246)
| Benchmark | GPT-4o | Ministral 8B |
|---|---|---|
| LMArena Text | 1300 | 1191 |
| LMArena Creative Writing | 1292 | 1175 |
| LMArena Multi-Turn | 1302 | 1166 |
| Short-Story Creative Writing | 81.8% | — |
| WildBench | 82.8% | — |
| LiveBench Language | 47.6% | — |
Frequently asked questions
Is GPT-4o better than Ministral 8B?
GPT-4o and Ministral 8B score almost the same on the Noometry Index (28.6 vs 28.2), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-4o or Ministral 8B?
Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-4o lists at $2.50 and $10.
Is GPT-4o or Ministral 8B better for coding?
Ministral 8B scores higher on coding benchmarks: 35.0 versus 24.8 in the Noometry coding category.
Which has the bigger context window?
Ministral 8B does, with 262K tokens against 128K.
How many benchmarks do GPT-4o and Ministral 8B share?
16 benchmarks have published results for both models. GPT-4o has 72 scored results on Noometry and Ministral 8B has 17.