Model comparison
GPT-4.5 vs Ministral 8B
GPT-4.5 is the stronger model overall, scoring 37.2 to 28.2 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GPT-4.5 scores higher in 8 categories and Ministral 8B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.5 leads 32.5 to 12.6.
- The biggest single-benchmark swing is MATH Level 5: 78.6% for GPT-4.5 and 14.9% for Ministral 8B.
- Ministral 8B has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | Ministral 8B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.2 | 28.2 |
| Released | 2025-02-27 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 42 | 17 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 42.2 (#109), Ministral 8B: 35.0 (#230)
| Benchmark | GPT-4.5 | Ministral 8B |
|---|---|---|
| LMArena Coding | 1396 | 1202 |
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
Agentic & Tool Use GPT-4.5 leads
GPT-4.5: 27.9 (#97), Ministral 8B: 16.4 (#148)
| Benchmark | GPT-4.5 | Ministral 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 11.1% |
| Cybench | 17.5% | — |
Reasoning Ministral 8B leads
GPT-4.5: 13.9 (#330), Ministral 8B: 18.4 (#281)
| Benchmark | GPT-4.5 | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1403 | 1191 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| DTBench | — | 45.7% |
| LiveBench Data Analysis | 64.3% | — |
| Epoch Capabilities Index | 136.74 | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math GPT-4.5 leads
GPT-4.5: 32.6 (#211), Ministral 8B: 25.7 (#267)
| Benchmark | GPT-4.5 | Ministral 8B |
|---|---|---|
| LMArena Math | 1412 | 1188 |
| MATH Level 5 | 78.6% | 14.9% |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| LiveBench Math | 69.3% | — |
Knowledge GPT-4.5 leads
GPT-4.5: 32.5 (#211), Ministral 8B: 12.6 (#297)
| Benchmark | GPT-4.5 | Ministral 8B |
|---|---|---|
| GPQA Diamond | 68.7% | 27.1% |
| LMArena Expert | 1394 | 1170 |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
| Vectara Hallucination Rate | — | 7.4% |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), Ministral 8B: —
| Benchmark | GPT-4.5 | Ministral 8B |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual GPT-4.5 leads
GPT-4.5: 52.5 (#83), Ministral 8B: 35.1 (#247)
| Benchmark | GPT-4.5 | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1413 | 1165 |
| LMArena Chinese | 1421 | 1193 |
| LMArena Russian | 1419 | 1195 |
| LMArena French | 1418 | — |
| LMArena German | 1457 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1392 | — |
Instruction Following GPT-4.5 leads
GPT-4.5: 72.6 (#134), Ministral 8B: 60.5 (#250)
| Benchmark | GPT-4.5 | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1161 |
| LiveBench Instruction Following | 72.3% | — |
Long Context GPT-4.5 leads
GPT-4.5: 40.4 (#155), Ministral 8B: 36.7 (#227)
| Benchmark | GPT-4.5 | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1406 | 1212 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.5 leads
GPT-4.5: 56.9 (#134), Ministral 8B: 39.6 (#246)
| Benchmark | GPT-4.5 | Ministral 8B |
|---|---|---|
| LMArena Text | 1417 | 1191 |
| LMArena Creative Writing | 1394 | 1175 |
| LMArena Multi-Turn | 1444 | 1166 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Ministral 8B?
GPT-4.5 is the stronger model overall, scoring 37.2 to 28.2 on the Noometry Index.
Is GPT-4.5 or Ministral 8B better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 35.0 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Ministral 8B share?
14 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Ministral 8B has 17.