Model comparison
Ministral 3B vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 26.2 on the Noometry Index. Ministral 3B costs 11× less per token, which makes it the better buy when Qwen3.8 27B's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Ministral 3B scores higher in 0 categories and Qwen3.8 27B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.8 27B leads 41.6 to 10.4.
- The biggest single-benchmark swing is DTBench: 51.7% for Ministral 3B and 88% for Qwen3.8 27B.
- Ministral 3B is cheaper at $0.10 / $0.10 per million input/output tokens, against $0.99 / $1.49 for Qwen3.8 27B.
- Qwen3.8 27B accepts more context: 262K tokens versus 131K.
Side by side
| Ministral 3B | Qwen3.8 27B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.2 | 46.0 |
| Released | 2024-10-01 | 2026-08-14 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 262K | 33K |
| Input $ / M tokens | $0.10 | $0.99 |
| Output $ / M tokens | $0.10 | $1.49 |
| Results tracked | 6 | 31 |
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Category by category
Coding Not comparable
Ministral 3B: —, Qwen3.8 27B: 50.5 (#44)
| Benchmark | Ministral 3B | Qwen3.8 27B |
|---|---|---|
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
| LMArena Coding | — | 1482 |
Agentic & Tool Use Not comparable
Ministral 3B: —, Qwen3.8 27B: 32.9 (#57)
| Benchmark | Ministral 3B | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
Reasoning Qwen3.8 27B leads
Ministral 3B: 18.4 (#282), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Ministral 3B | Qwen3.8 27B |
|---|---|---|
| DTBench | 51.7% | 88% |
| LMCA | 5.5% | 41.4% |
| Epoch Capabilities Index | 118.1 | 149.38 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| LMArena Hard Prompts | — | 1460 |
| Surface Evolver Bench | — | 45% |
Math Qwen3.8 27B leads
Ministral 3B: 26.6 (#258), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Ministral 3B | Qwen3.8 27B |
|---|---|---|
| ProofBench | — | 16% |
| LMArena Math | — | 1456 |
| MATH Level 5 | 14.4% | — |
Knowledge Qwen3.8 27B leads
Ministral 3B: 10.4 (#302), Qwen3.8 27B: 41.6 (#109)
| Benchmark | Ministral 3B | Qwen3.8 27B |
|---|---|---|
| GPQA Diamond | 25.3% | — |
| Vectara Hallucination Rate | 7.3% | — |
| LMArena Expert | — | 1482 |
Multimodal Not comparable
Ministral 3B: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | Ministral 3B | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Not comparable
Ministral 3B: —, Qwen3.8 27B: 53.7 (#60)
| Benchmark | Ministral 3B | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | — | 1430 |
| LMArena Chinese | — | 1504 |
| LMArena French | — | 1465 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1384 |
| LMArena Korean | — | 1393 |
| LMArena Russian | — | 1415 |
| LMArena Spanish | — | 1448 |
Instruction Following Not comparable
Ministral 3B: —, Qwen3.8 27B: 75.8 (#53)
| Benchmark | Ministral 3B | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | — | 1439 |
Long Context Not comparable
Ministral 3B: —, Qwen3.8 27B: 44.3 (#70)
| Benchmark | Ministral 3B | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | — | 1450 |
Writing & Preference Not comparable
Ministral 3B: —, Qwen3.8 27B: 65.8 (#43)
| Benchmark | Ministral 3B | Qwen3.8 27B |
|---|---|---|
| LMArena Text | — | 1441 |
| LMArena Creative Writing | — | 1384 |
| EQ-Bench Creative Writing | — | 1671 |
| LMArena Multi-Turn | — | 1441 |
Frequently asked questions
Is Ministral 3B better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 26.2 on the Noometry Index. Ministral 3B costs 11× less per token, which makes it the better buy when Qwen3.8 27B's lead doesn't matter for your workload.
Which is cheaper, Ministral 3B or Qwen3.8 27B?
Ministral 3B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; Qwen3.8 27B lists at $0.99 and $1.49.
Which has the bigger context window?
Qwen3.8 27B does, with 262K tokens against 131K.
How many benchmarks do Ministral 3B and Qwen3.8 27B share?
3 benchmarks have published results for both models. Ministral 3B has 6 scored results on Noometry and Qwen3.8 27B has 31.