Model comparison
GPT-4o mini vs Ministral 3B
GPT-4o mini and Ministral 3B score almost the same on the Noometry Index (25.4 vs 25.6), so choose on price, context window or the category you care about most.
Last verified . 5 shared benchmarks.
Mistral AISummary
- They share 5 benchmarks with published results for both. GPT-4o mini scores higher in 1 category and Ministral 3B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Ministral 3B leads 24.5 to 9.9.
- The biggest single-benchmark swing is MATH Level 5: 52.6% for GPT-4o mini and 14.4% for Ministral 3B.
- Ministral 3B is cheaper at $0.04 / $0.04 per million input/output tokens, against $0.15 / $0.60 for GPT-4o mini.
- Ministral 3B has downloadable open weights; the other is API-only.
Side by side
| GPT-4o mini | Ministral 3B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 25.4 | 25.6 |
| Released | 2024-07-18 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | 128K | 128K |
| Max output | 16K | 128K |
| Input $ / M tokens | $0.15 | $0.04 |
| Output $ / M tokens | $0.60 | $0.04 |
| Results tracked | 60 | 6 |
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Category by category
Coding Not comparable
GPT-4o mini: 21.6 (#330), Ministral 3B: —
| Benchmark | GPT-4o mini | Ministral 3B |
|---|---|---|
| Aider Polyglot | 3.6% | — |
| WeirdML | 11.8% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| LMArena Coding | 1290 | — |
| BigCodeBench Complete | 57.4% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use Not comparable
GPT-4o mini: 27.2 (#95), Ministral 3B: —
| Benchmark | GPT-4o mini | Ministral 3B |
|---|---|---|
| BALROG | 17.4% | — |
Reasoning Ministral 3B leads
GPT-4o mini: 8.7 (#343), Ministral 3B: 17.7 (#278)
| Benchmark | GPT-4o mini | Ministral 3B |
|---|---|---|
| DTBench | 54.4% | 51.7% |
| LMCA | 10.4% | 5.5% |
| Epoch Capabilities Index | 126.56 | 118.08 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 32.8% | — |
| LMArena Hard Prompts | 1267 | — |
| Mystery Game Puzzles | 12% | — |
| LiveBench Data Analysis | 50% | — |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
Math Ministral 3B leads
GPT-4o mini: 9.9 (#307), Ministral 3B: 24.5 (#257)
| Benchmark | GPT-4o mini | Ministral 3B |
|---|---|---|
| MATH Level 5 | 52.6% | 14.4% |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.9% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| LMArena Math | 1267 | — |
| GSM8K | 91.3% | — |
Knowledge GPT-4o mini leads
GPT-4o mini: 17.7 (#279), Ministral 3B: 10.4 (#297)
| Benchmark | GPT-4o mini | Ministral 3B |
|---|---|---|
| GPQA Diamond | 37.7% | 25.3% |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| Vectara Hallucination Rate | — | 7.3% |
| GPQA (HELM) | 36.8% | — |
| LMArena Expert | 1235 | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |
Multimodal Not comparable
GPT-4o mini: 25.3 (#117), Ministral 3B: —
| Benchmark | GPT-4o mini | Ministral 3B |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual Not comparable
GPT-4o mini: 42.2 (#194), Ministral 3B: —
| Benchmark | GPT-4o mini | Ministral 3B |
|---|---|---|
| LMArena Non-English | 1266 | — |
| LMArena Chinese | 1264 | — |
| LMArena French | 1296 | — |
| LMArena German | 1272 | — |
| LMArena Japanese | 1216 | — |
| LMArena Korean | 1195 | — |
| LMArena Russian | 1275 | — |
| LMArena Spanish | 1276 | — |
Instruction Following Not comparable
GPT-4o mini: 62.1 (#234), Ministral 3B: —
| Benchmark | GPT-4o mini | Ministral 3B |
|---|---|---|
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
| LMArena Instruction Following | 1259 | — |
Long Context Not comparable
GPT-4o mini: 39.1 (#181), Ministral 3B: —
| Benchmark | GPT-4o mini | Ministral 3B |
|---|---|---|
| LMArena Longer Query | 1289 | — |
Writing & Preference Not comparable
GPT-4o mini: 39.7 (#243), Ministral 3B: —
| Benchmark | GPT-4o mini | Ministral 3B |
|---|---|---|
| LMArena Text | 1286 | — |
| LMArena Creative Writing | 1268 | — |
| Short-Story Creative Writing | 67.2% | — |
| EQ-Bench Creative Writing | 873 | — |
| WildBench | 79.1% | — |
| LMArena Multi-Turn | 1285 | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than Ministral 3B?
GPT-4o mini and Ministral 3B score almost the same on the Noometry Index (25.4 vs 25.6), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-4o mini or Ministral 3B?
Ministral 3B is cheaper. It lists at $0.04 per million input tokens and $0.04 per million output tokens; GPT-4o mini lists at $0.15 and $0.60.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do GPT-4o mini and Ministral 3B share?
5 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Ministral 3B has 6.