Model comparison
Ministral 8B vs o3-mini
o3-mini is the stronger model overall, scoring 36.7 to 27.8 on the Noometry Index. Ministral 8B costs 19× less per token, which makes it the better buy when o3-mini's lead doesn't matter for your workload.
Last verified . 15 shared benchmarks.
Mistral AISummary
- They share 15 benchmarks with published results for both. Ministral 8B scores higher in 2 categories and o3-mini in 7 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o3-mini leads 38.3 to 12.5.
- The biggest single-benchmark swing is MATH Level 5: 14.9% for Ministral 8B and 96.5% for o3-mini.
- Ministral 8B is cheaper at $0.10 / $0.10 per million input/output tokens, against $1.10 / $4.40 for o3-mini.
- o3-mini accepts more context: 200K tokens versus 128K.
- Ministral 8B has downloadable open weights; the other is API-only.
Side by side
| Ministral 8B | o3-mini | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 27.8 | 36.7 |
| Released | 2024-10-01 | 2024-12-20 |
| Weights | Open | Proprietary |
| Context window | 128K | 200K |
| Max output | 128K | 100K |
| Input $ / M tokens | $0.10 | $1.10 |
| Output $ / M tokens | $0.10 | $4.40 |
| Results tracked | 17 | 51 |
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Category by category
Coding o3-mini leads
Ministral 8B: 34.4 (#226), o3-mini: 41.4 (#116)
| Benchmark | Ministral 8B | o3-mini |
|---|---|---|
| LMArena Coding | 1202 | 1378 |
| Aider Polyglot | — | 60.4% |
| SciCode | — | 39.8% |
| GSO | — | 1.3% |
| WeirdML | — | 43.7% |
| LiveBench Coding | — | 82.7% |
| CadEval | — | 54% |
Agentic & Tool Use o3-mini leads
Ministral 8B: 16.2 (#140), o3-mini: 29.3 (#79)
| Benchmark | Ministral 8B | o3-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 11.1% | — |
| Cybench | — | 22.5% |
Reasoning Ministral 8B leads
Ministral 8B: 17.7 (#279), o3-mini: 16.3 (#295)
| Benchmark | Ministral 8B | o3-mini |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1366 |
| DTBench | 45.7% | 68.8% |
| ARC-AGI-2 | — | 3% |
| SimpleBench | — | 22.8% |
| ARC-AGI-1 | — | 34.5% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 17% |
| LiveBench Reasoning | — | 89.6% |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | — | 70.6% |
| LMCA | — | 19% |
| Epoch Capabilities Index | — | 140.35 |
| ForecastBench | — | 59.6 |
| LiveBench | — | 75.9% |
Math o3-mini leads
Ministral 8B: 23.7 (#262), o3-mini: 27.6 (#236)
| Benchmark | Ministral 8B | o3-mini |
|---|---|---|
| LMArena Math | 1188 | 1396 |
| MATH Level 5 | 14.9% | 96.5% |
| FrontierMath (Tiers 1-3) | — | 18.6% |
| FrontierMath Tier 4 | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 76.9% |
| LiveBench Math | — | 77.3% |
| FrontierMath (Feb 2025 set) | — | 12.4% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge o3-mini leads
Ministral 8B: 12.5 (#292), o3-mini: 38.3 (#135)
| Benchmark | Ministral 8B | o3-mini |
|---|---|---|
| GPQA Diamond | 27.1% | 77% |
| LMArena Expert | 1170 | 1364 |
| SimpleQA Verified | — | 15.3% |
| Confabulations | — | 17.9% |
| Vectara Hallucination Rate | 7.4% | — |
Multilingual o3-mini leads
Ministral 8B: 35.3 (#242), o3-mini: 45.9 (#159)
| Benchmark | Ministral 8B | o3-mini |
|---|---|---|
| LMArena Non-English | 1165 | 1319 |
| LMArena Chinese | 1193 | 1379 |
| LMArena Russian | 1195 | 1304 |
| LMArena French | — | 1333 |
| LMArena German | — | 1303 |
| LMArena Japanese | — | 1286 |
| LMArena Korean | — | 1314 |
| LMArena Spanish | — | 1321 |
Instruction Following o3-mini leads
Ministral 8B: 60.7 (#245), o3-mini: 75.3 (#67)
| Benchmark | Ministral 8B | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1161 | 1338 |
| LiveBench Instruction Following | — | 84.4% |
Long Context Ministral 8B leads
Ministral 8B: 36.7 (#222), o3-mini: 33.8 (#251)
| Benchmark | Ministral 8B | o3-mini |
|---|---|---|
| LMArena Longer Query | 1212 | 1343 |
| Fiction.LiveBench | — | 50% |
Writing & Preference o3-mini leads
Ministral 8B: 39.8 (#241), o3-mini: 50.4 (#177)
| Benchmark | Ministral 8B | o3-mini |
|---|---|---|
| LMArena Text | 1191 | 1337 |
| LMArena Creative Writing | 1175 | 1286 |
| LMArena Multi-Turn | 1166 | 1320 |
| Short-Story Creative Writing | — | 61.7% |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is Ministral 8B better than o3-mini?
o3-mini is the stronger model overall, scoring 36.7 to 27.8 on the Noometry Index. Ministral 8B costs 19× less per token, which makes it the better buy when o3-mini's lead doesn't matter for your workload.
Which is cheaper, Ministral 8B or o3-mini?
Ministral 8B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; o3-mini lists at $1.10 and $4.40.
Is Ministral 8B or o3-mini better for coding?
o3-mini scores higher on coding benchmarks: 41.4 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
o3-mini does, with 200K tokens against 128K.
How many benchmarks do Ministral 8B and o3-mini share?
15 benchmarks have published results for both models. Ministral 8B has 17 scored results on Noometry and o3-mini has 51.