Model comparison
Ministral 3B vs Qwen3-30B-A3B
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 26.2 on the Noometry Index. Ministral 3B costs 2.1× less per token, which makes it the better buy when Qwen3-30B-A3B's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. Ministral 3B scores higher in 0 categories and Qwen3-30B-A3B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-30B-A3B leads 41.8 to 10.4.
- The biggest single-benchmark swing is GPQA Diamond: 25.3% for Ministral 3B and 70.1% for Qwen3-30B-A3B.
- Ministral 3B is cheaper at $0.10 / $0.10 per million input/output tokens, against $0.12 / $0.50 for Qwen3-30B-A3B.
- Ministral 3B accepts more context: 131K tokens versus 41K.
Side by side
| Ministral 3B | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.2 | 38.9 |
| Released | 2024-10-01 | 2025-04-28 |
| Weights | Open | Open |
| Context window | 131K | 41K |
| Max output | 262K | 16K |
| Input $ / M tokens | $0.10 | $0.12 |
| Output $ / M tokens | $0.10 | $0.50 |
| Results tracked | 6 | 32 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Ministral 3B: —, Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Ministral 3B | Qwen3-30B-A3B |
|---|---|---|
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
| LMArena Coding | — | 1416 |
Agentic & Tool Use Not comparable
Ministral 3B: —, Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Ministral 3B | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
Reasoning Qwen3-30B-A3B leads
Ministral 3B: 18.4 (#282), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Ministral 3B | Qwen3-30B-A3B |
|---|---|---|
| DTBench | 51.7% | 69.3% |
| LMCA | 5.5% | 22.4% |
| Epoch Capabilities Index | 118.1 | 139.63 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| LMArena Hard Prompts | — | 1398 |
Math Qwen3-30B-A3B leads
Ministral 3B: 26.6 (#258), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Ministral 3B | Qwen3-30B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| LMArena Math | — | 1394 |
| MATH Level 5 | 14.4% | — |
Knowledge Qwen3-30B-A3B leads
Ministral 3B: 10.4 (#302), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Ministral 3B | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 25.3% | 70.1% |
| Confabulations | — | 12.3% |
| Vectara Hallucination Rate | 7.3% | — |
| LMArena Expert | — | 1396 |
Multilingual Not comparable
Ministral 3B: —, Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Ministral 3B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | — | 1372 |
| LMArena Chinese | — | 1433 |
| LMArena French | — | 1418 |
| LMArena German | — | 1380 |
| LMArena Japanese | — | 1337 |
| LMArena Korean | — | 1331 |
| LMArena Russian | — | 1370 |
| LMArena Spanish | — | 1404 |
Instruction Following Not comparable
Ministral 3B: —, Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Ministral 3B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | — | 1363 |
Long Context Not comparable
Ministral 3B: —, Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Ministral 3B | Qwen3-30B-A3B |
|---|---|---|
| Fiction.LiveBench | — | 40.6% |
| LMArena Longer Query | — | 1379 |
Writing & Preference Not comparable
Ministral 3B: —, Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Ministral 3B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | — | 1384 |
| LMArena Creative Writing | — | 1317 |
| Short-Story Creative Writing | — | 75.3% |
| LMArena Multi-Turn | — | 1378 |
Frequently asked questions
Is Ministral 3B better than Qwen3-30B-A3B?
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 26.2 on the Noometry Index. Ministral 3B costs 2.1× less per token, which makes it the better buy when Qwen3-30B-A3B's lead doesn't matter for your workload.
Which is cheaper, Ministral 3B or Qwen3-30B-A3B?
Ministral 3B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; Qwen3-30B-A3B lists at $0.12 and $0.50.
Which has the bigger context window?
Ministral 3B does, with 131K tokens against 41K.
How many benchmarks do Ministral 3B and Qwen3-30B-A3B share?
4 benchmarks have published results for both models. Ministral 3B has 6 scored results on Noometry and Qwen3-30B-A3B has 32.