Model comparison
Claude Opus 4 vs Ministral 8B
Claude Opus 4 is the stronger model overall, scoring 43.1 to 28.2 on the Noometry Index. Ministral 8B costs 200× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.
Last verified . 16 shared benchmarks.
Mistral AISummary
- They share 16 benchmarks with published results for both. Claude Opus 4 scores higher in 9 categories and Ministral 8B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Opus 4 leads 44.0 to 12.6.
- The biggest single-benchmark swing is MATH Level 5: 85% for Claude Opus 4 and 14.9% for Ministral 8B.
- Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $15 / $75 for Claude Opus 4.
- Ministral 8B accepts more context: 262K tokens versus 200K.
- Ministral 8B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4 | Ministral 8B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 43.1 | 28.2 |
| Released | 2025-05-22 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 32K | 262K |
| Input $ / M tokens | $15 | $0.15 |
| Output $ / M tokens | $75 | $0.15 |
| Results tracked | 56 | 17 |
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Category by category
Coding Claude Opus 4 leads
Claude Opus 4: 47.2 (#62), Ministral 8B: 35.0 (#230)
| Benchmark | Claude Opus 4 | Ministral 8B |
|---|---|---|
| LMArena Coding | 1442 | 1202 |
| SWE-bench Verified | 70.7% | — |
| SWE-bench Verified (bash only) | 67.6% | — |
| Aider Polyglot | 72% | — |
| GSO | 6.9% | — |
| WeirdML | 43.7% | — |
| AlgoTune | 1.33 | — |
Agentic & Tool Use Claude Opus 4 leads
Claude Opus 4: 34.8 (#42), Ministral 8B: 16.4 (#148)
| Benchmark | Claude Opus 4 | Ministral 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 11.1% |
| Cybench | 38% | — |
| DeepResearch Bench | 46.8% | — |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |
Reasoning Claude Opus 4 leads
Claude Opus 4: 27.3 (#121), Ministral 8B: 18.4 (#281)
| Benchmark | Claude Opus 4 | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1191 |
| DTBench | 81.6% | 45.7% |
| ARC-AGI-2 | 8.6% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 74.3% | — |
| ARC-AGI-1 | 35.7% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 5.6% | — |
| LMCA | 37.4% | — |
| Epoch Capabilities Index | 142.67 | — |
| ForecastBench | 61.1 | — |
Math Claude Opus 4 leads
Claude Opus 4: 42.0 (#86), Ministral 8B: 25.7 (#267)
| Benchmark | Claude Opus 4 | Ministral 8B |
|---|---|---|
| LMArena Math | 1390 | 1188 |
| MATH Level 5 | 85% | 14.9% |
| OTIS Mock AIME 2024-2025 | 64.4% | — |
| Omni-MATH | 61.6% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4 leads
Claude Opus 4: 44.0 (#88), Ministral 8B: 12.6 (#297)
| Benchmark | Claude Opus 4 | Ministral 8B |
|---|---|---|
| GPQA Diamond | 76.3% | 27.1% |
| Vectara Hallucination Rate | 12% | 7.4% |
| LMArena Expert | 1386 | 1170 |
| Humanity's Last Exam | 10.7% | — |
| MMLU-Pro | 87.5% | — |
| Confabulations | 15.9% | — |
| GPQA (HELM) | 70.8% | — |
Multimodal Not comparable
Claude Opus 4: 31.5 (#106), Ministral 8B: —
| Benchmark | Claude Opus 4 | Ministral 8B |
|---|---|---|
| LMArena Vision | 1192 | — |
| GeoBench | 49% | — |
| VPCT | 38% | — |
Multilingual Claude Opus 4 leads
Claude Opus 4: 48.8 (#138), Ministral 8B: 35.1 (#247)
| Benchmark | Claude Opus 4 | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1362 | 1165 |
| LMArena Chinese | 1386 | 1193 |
| LMArena Russian | 1392 | 1195 |
| LMArena French | 1372 | — |
| LMArena German | 1391 | — |
| LMArena Japanese | 1331 | — |
| LMArena Korean | 1321 | — |
| LMArena Spanish | 1389 | — |
Instruction Following Claude Opus 4 leads
Claude Opus 4: 77.1 (#28), Ministral 8B: 60.5 (#250)
| Benchmark | Claude Opus 4 | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1161 |
| IFEval | 91.8% | — |
Long Context Claude Opus 4 leads
Claude Opus 4: 39.6 (#172), Ministral 8B: 36.7 (#227)
| Benchmark | Claude Opus 4 | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1422 | 1212 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference Claude Opus 4 leads
Claude Opus 4: 61.2 (#89), Ministral 8B: 39.6 (#246)
| Benchmark | Claude Opus 4 | Ministral 8B |
|---|---|---|
| LMArena Text | 1377 | 1191 |
| LMArena Creative Writing | 1387 | 1175 |
| LMArena Multi-Turn | 1396 | 1166 |
| Short-Story Creative Writing | 83.6% | — |
| EQ-Bench Creative Writing | 1580 | — |
| WildBench | 85.2% | — |
Frequently asked questions
Is Claude Opus 4 better than Ministral 8B?
Claude Opus 4 is the stronger model overall, scoring 43.1 to 28.2 on the Noometry Index. Ministral 8B costs 200× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4 or Ministral 8B?
Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Claude Opus 4 lists at $15 and $75.
Is Claude Opus 4 or Ministral 8B better for coding?
Claude Opus 4 scores higher on coding benchmarks: 47.2 versus 35.0 in the Noometry coding category.
Which has the bigger context window?
Ministral 8B does, with 262K tokens against 200K.
How many benchmarks do Claude Opus 4 and Ministral 8B share?
16 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and Ministral 8B has 17.