Model comparison
Claude Opus 4.8 vs Ministral 3B
Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 25.6 on the Noometry Index. Ministral 3B costs 250× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Mistral AISummary
- They share 4 benchmarks with published results for both. Claude Opus 4.8 scores higher in 3 categories and Ministral 3B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 4.8 leads 78.2 to 24.5.
- The biggest single-benchmark swing is GPQA Diamond: 91% for Claude Opus 4.8 and 25.3% for Ministral 3B.
- Ministral 3B is cheaper at $0.04 / $0.04 per million input/output tokens, against $5 / $25 for Claude Opus 4.8.
- Claude Opus 4.8 accepts more context: 1M tokens versus 128K.
- Ministral 3B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.8 | Ministral 3B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 60.7 | 25.6 |
| Released | 2026-05-28 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | 1M | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $5 | $0.04 |
| Output $ / M tokens | $25 | $0.04 |
| Results tracked | 65 | 6 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Claude Opus 4.8: 60.2 (#9), Ministral 3B: —
| Benchmark | Claude Opus 4.8 | Ministral 3B |
|---|---|---|
| DeepSWE | 59% | — |
| FrontierCode | 46.5% | — |
| LMArena WebDev | 1556 | — |
| SciCode | 53.5% | — |
| GSO | 47.1% | — |
| WeirdML | 82.9% | — |
| LMArena Coding | 1491 | — |
| ALE-Bench | 1,564 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.8: 47.6 (#10), Ministral 3B: —
| Benchmark | Claude Opus 4.8 | Ministral 3B |
|---|---|---|
| APEX-Agents | 48.9% | — |
| OSWorld 2.0 | 20.6% | — |
| Remote Labor Index | 8.3% | — |
| τ²-bench Banking | 39.7% | — |
| DeepResearch Bench | 50.2% | — |
| PostTrainBench | 33.8% | — |
| GBAEval | 70.9% | — |
| GDP.pdf | 24% | — |
| LMArena Search | 1204 | — |
| Vending-Bench 2 | 5,787 | — |
Reasoning Claude Opus 4.8 leads
Claude Opus 4.8: 64.6 (#14), Ministral 3B: 17.7 (#278)
| Benchmark | Claude Opus 4.8 | Ministral 3B |
|---|---|---|
| DTBench | 94.9% | 51.7% |
| LMCA | 57.5% | 5.5% |
| Epoch Capabilities Index | 158.3 | 118.08 |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 64.8% | — |
| Kagi LLM Benchmark | 88.8% | — |
| NYT Connections (extended) | 91.1% | — |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 20.9% | — |
| Chess Puzzles | 34% | — |
| EnigmaEval | 23.5% | — |
| EBR-Bench | 28.6% | — |
| LMArena Hard Prompts | 1481 | — |
| Mystery Game Puzzles | 36% | — |
| Surface Evolver Bench | 87.5% | — |
| Bench to the Future 3 | 0.14 | — |
| ForecastBench | 59.9 | — |
Math Claude Opus 4.8 leads
Claude Opus 4.8: 78.2 (#11), Ministral 3B: 24.5 (#257)
| Benchmark | Claude Opus 4.8 | Ministral 3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 80% | — |
| FrontierMath Tier 4 | 56.1% | — |
| MathArena Final-Answer Competitions | 91.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 69% | — |
| LMArena Math | 1487 | — |
| MATH Level 5 | — | 14.4% |
| FrontierMath (Feb 2025 set) | 47.2% | — |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Claude Opus 4.8 leads
Claude Opus 4.8: 61.3 (#26), Ministral 3B: 10.4 (#297)
| Benchmark | Claude Opus 4.8 | Ministral 3B |
|---|---|---|
| GPQA Diamond | 91% | 25.3% |
| SimpleQA Verified | 53% | — |
| Vectara Hallucination Rate | — | 7.3% |
| LMArena Expert | 1501 | — |
Multimodal Not comparable
Claude Opus 4.8: 43.2 (#20), Ministral 3B: —
| Benchmark | Claude Opus 4.8 | Ministral 3B |
|---|---|---|
| LMArena Vision | 1295 | — |
| Blueprint-Bench 2 | 14.5% | — |
| Furniture Assembly | 42.5% | — |
| LMArena Document | 1475 | — |
Multilingual Not comparable
Claude Opus 4.8: 55.4 (#31), Ministral 3B: —
| Benchmark | Claude Opus 4.8 | Ministral 3B |
|---|---|---|
| LMArena Non-English | 1450 | — |
| LMArena Chinese | 1509 | — |
| LMArena French | 1482 | — |
| LMArena German | 1470 | — |
| LMArena Japanese | 1440 | — |
| LMArena Korean | 1432 | — |
| LMArena Russian | 1476 | — |
| LMArena Spanish | 1470 | — |
Instruction Following Not comparable
Claude Opus 4.8: 77.6 (#22), Ministral 3B: —
| Benchmark | Claude Opus 4.8 | Ministral 3B |
|---|---|---|
| LMArena Instruction Following | 1476 | — |
Long Context Not comparable
Claude Opus 4.8: 45.4 (#37), Ministral 3B: —
| Benchmark | Claude Opus 4.8 | Ministral 3B |
|---|---|---|
| LMArena Longer Query | 1482 | — |
Writing & Preference Not comparable
Claude Opus 4.8: 72.1 (#17), Ministral 3B: —
| Benchmark | Claude Opus 4.8 | Ministral 3B |
|---|---|---|
| LMArena Text | 1460 | — |
| LMArena Creative Writing | 1453 | — |
| EQ-Bench Creative Writing | 1840 | — |
| EQ-Bench 4 | 1281 | — |
| LMArena Multi-Turn | 1476 | — |
Frequently asked questions
Is Claude Opus 4.8 better than Ministral 3B?
Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 25.6 on the Noometry Index. Ministral 3B costs 250× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.8 or Ministral 3B?
Ministral 3B is cheaper. It lists at $0.04 per million input tokens and $0.04 per million output tokens; Claude Opus 4.8 lists at $5 and $25.
Which has the bigger context window?
Claude Opus 4.8 does, with 1M tokens against 128K.
How many benchmarks do Claude Opus 4.8 and Ministral 3B share?
4 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and Ministral 3B has 6.