Model comparison
Claude Sonnet 4 vs Ministral 8B
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 28.2 on the Noometry Index. Ministral 8B costs 40× less per token, which makes it the better buy when Claude Sonnet 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 Sonnet 4 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 Claude Sonnet 4 leads 41.8 to 12.6.
- The biggest single-benchmark swing is MATH Level 5: 84.4% for Claude Sonnet 4 and 14.9% for Ministral 8B.
- Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $3 / $15 for Claude Sonnet 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 Sonnet 4 | Ministral 8B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 40.8 | 28.2 |
| Released | 2025-05-22 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 64K | 262K |
| Input $ / M tokens | $3 | $0.15 |
| Output $ / M tokens | $15 | $0.15 |
| Results tracked | 58 | 17 |
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Category by category
Coding Claude Sonnet 4 leads
Claude Sonnet 4: 43.5 (#88), Ministral 8B: 35.0 (#230)
| Benchmark | Claude Sonnet 4 | Ministral 8B |
|---|---|---|
| LMArena Coding | 1414 | 1202 |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| SciCode | 40% | — |
| GSO | 4.9% | — |
| WeirdML | 46.1% | — |
| ALE-Bench | 655.35 | — |
Agentic & Tool Use Claude Sonnet 4 leads
Claude Sonnet 4: 38.5 (#31), Ministral 8B: 16.4 (#148)
| Benchmark | Claude Sonnet 4 | Ministral 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 11.1% |
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| METR Time Horizons | 62% | — |
Reasoning Claude Sonnet 4 leads
Claude Sonnet 4: 22.9 (#187), Ministral 8B: 18.4 (#281)
| Benchmark | Claude Sonnet 4 | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1372 | 1191 |
| DTBench | 77.1% | 45.7% |
| ARC-AGI-2 | 5.9% | — |
| SimpleBench | 45.5% | — |
| Kagi LLM Benchmark | 73% | — |
| ARC-AGI-1 | 40% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 3.1% | — |
| LMCA | 29% | — |
| Epoch Capabilities Index | 141.69 | — |
| ForecastBench | 60.2 | — |
Math Claude Sonnet 4 leads
Claude Sonnet 4: 43.3 (#80), Ministral 8B: 25.7 (#267)
| Benchmark | Claude Sonnet 4 | Ministral 8B |
|---|---|---|
| LMArena Math | 1375 | 1188 |
| MATH Level 5 | 84.4% | 14.9% |
| OTIS Mock AIME 2024-2025 | 71.1% | — |
| Omni-MATH | 60.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Claude Sonnet 4 leads
Claude Sonnet 4: 41.8 (#108), Ministral 8B: 12.6 (#297)
| Benchmark | Claude Sonnet 4 | Ministral 8B |
|---|---|---|
| GPQA Diamond | 79.2% | 27.1% |
| Vectara Hallucination Rate | 10.3% | 7.4% |
| LMArena Expert | 1372 | 1170 |
| Humanity's Last Exam | 7.8% | — |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| GPQA (HELM) | 70.6% | — |
Multimodal Not comparable
Claude Sonnet 4: 26.2 (#121), Ministral 8B: —
| Benchmark | Claude Sonnet 4 | Ministral 8B |
|---|---|---|
| LMArena Vision | 1191 | — |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |
Multilingual Claude Sonnet 4 leads
Claude Sonnet 4: 46.7 (#156), Ministral 8B: 35.1 (#247)
| Benchmark | Claude Sonnet 4 | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1333 | 1165 |
| LMArena Chinese | 1350 | 1193 |
| LMArena Russian | 1355 | 1195 |
| LMArena French | 1363 | — |
| LMArena German | 1331 | — |
| LMArena Japanese | 1302 | — |
| LMArena Korean | 1291 | — |
| LMArena Spanish | 1357 | — |
Instruction Following Claude Sonnet 4 leads
Claude Sonnet 4: 71.7 (#145), Ministral 8B: 60.5 (#250)
| Benchmark | Claude Sonnet 4 | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1376 | 1161 |
| IFEval | 84% | — |
Long Context Ministral 8B leads
Claude Sonnet 4: 33.7 (#259), Ministral 8B: 36.7 (#227)
| Benchmark | Claude Sonnet 4 | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1398 | 1212 |
| Fiction.LiveBench | 46.9% | — |
Writing & Preference Claude Sonnet 4 leads
Claude Sonnet 4: 57.1 (#132), Ministral 8B: 39.6 (#246)
| Benchmark | Claude Sonnet 4 | Ministral 8B |
|---|---|---|
| LMArena Text | 1351 | 1191 |
| LMArena Creative Writing | 1345 | 1175 |
| LMArena Multi-Turn | 1376 | 1166 |
| Short-Story Creative Writing | 81.4% | — |
| EQ-Bench Creative Writing | 1483 | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is Claude Sonnet 4 better than Ministral 8B?
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 28.2 on the Noometry Index. Ministral 8B costs 40× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 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 Sonnet 4 lists at $3 and $15.
Is Claude Sonnet 4 or Ministral 8B better for coding?
Claude Sonnet 4 scores higher on coding benchmarks: 43.5 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 Sonnet 4 and Ministral 8B share?
16 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Ministral 8B has 17.