Model comparison
Mistral Nemo vs Qwen3-30B-A3B
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 26.4 on the Noometry Index.
Last verified . 4 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Mistral Nemo scores higher in 0 categories and Qwen3-30B-A3B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-30B-A3B leads 41.8 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 29.9% for Mistral Nemo and 70.1% for Qwen3-30B-A3B.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.12 / $0.50 for Qwen3-30B-A3B.
- Mistral Nemo accepts more context: 128K tokens versus 41K.
Side by side
| Mistral Nemo | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.4 | 38.9 |
| Released | 2024-07-01 | 2025-04-28 |
| Weights | Open | Open |
| Context window | 128K | 41K |
| Max output | 128K | 16K |
| Input $ / M tokens | $0.15 | $0.12 |
| Output $ / M tokens | $0.15 | $0.50 |
| Results tracked | 10 | 32 |
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Category by category
Coding Not comparable
Mistral Nemo: —, Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Mistral Nemo | Qwen3-30B-A3B |
|---|---|---|
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
| LMArena Coding | — | 1416 |
Agentic & Tool Use Qwen3-30B-A3B leads
Mistral Nemo: 23.5 (#125), Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Mistral Nemo | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | 41.4% |
| BALROG | 17.6% | — |
Reasoning Qwen3-30B-A3B leads
Mistral Nemo: 20.7 (#232), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Mistral Nemo | Qwen3-30B-A3B |
|---|---|---|
| DTBench | 48.6% | 69.3% |
| Epoch Capabilities Index | 118.68 | 139.63 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| LMArena Hard Prompts | — | 1398 |
| LMCA | — | 22.4% |
| PIQA | 83.5% | — |
Math Qwen3-30B-A3B leads
Mistral Nemo: 25.5 (#268), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Mistral Nemo | Qwen3-30B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| LMArena Math | — | 1394 |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |
Knowledge Qwen3-30B-A3B leads
Mistral Nemo: 12.3 (#298), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Mistral Nemo | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 29.9% | 70.1% |
| Confabulations | — | 12.3% |
| LMArena Expert | — | 1396 |
| BoolQ | 82.5% | — |
Multilingual Not comparable
Mistral Nemo: —, Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Mistral Nemo | 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
Mistral Nemo: —, Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Mistral Nemo | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | — | 1363 |
Long Context Not comparable
Mistral Nemo: —, Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Mistral Nemo | Qwen3-30B-A3B |
|---|---|---|
| Fiction.LiveBench | — | 40.6% |
| LMArena Longer Query | — | 1379 |
Writing & Preference Qwen3-30B-A3B leads
Mistral Nemo: 28.5 (#296), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Mistral Nemo | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | — | 1384 |
| LMArena Creative Writing | — | 1317 |
| Short-Story Creative Writing | — | 75.3% |
| EQ-Bench Creative Writing | 881 | — |
| LMArena Multi-Turn | — | 1378 |
Frequently asked questions
Is Mistral Nemo better than Qwen3-30B-A3B?
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 26.4 on the Noometry Index.
Which is cheaper, Mistral Nemo or Qwen3-30B-A3B?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen3-30B-A3B lists at $0.12 and $0.50.
Which has the bigger context window?
Mistral Nemo does, with 128K tokens against 41K.
How many benchmarks do Mistral Nemo and Qwen3-30B-A3B share?
4 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3-30B-A3B has 32.