Model comparison
Mistral Nemo vs Qwen3.5 35B-A3B
Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 26.4 on the Noometry Index. Mistral Nemo costs 4.6× less per token, which makes it the better buy when Qwen3.5 35B-A3B'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. Mistral Nemo scores higher in 0 categories and Qwen3.5 35B-A3B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 35B-A3B leads 47.8 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 29.9% for Mistral Nemo and 83.5% for Qwen3.5 35B-A3B.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.25 / $2 for Qwen3.5 35B-A3B.
- Qwen3.5 35B-A3B accepts more context: 262K tokens versus 128K.
Side by side
| Mistral Nemo | Qwen3.5 35B-A3B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.4 | 42.0 |
| Released | 2024-07-01 | 2026-02-01 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.15 | $0.25 |
| Output $ / M tokens | $0.15 | $2 |
| Results tracked | 10 | 28 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Mistral Nemo: —, Qwen3.5 35B-A3B: 33.8 (#251)
| Benchmark | Mistral Nemo | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena WebDev | — | 1254 |
| SciCode | — | 29.3% |
| LMArena Coding | — | 1410 |
Agentic & Tool Use Not comparable
Mistral Nemo: 23.5 (#125), Qwen3.5 35B-A3B: —
| Benchmark | Mistral Nemo | Qwen3.5 35B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |
Reasoning Qwen3.5 35B-A3B leads
Mistral Nemo: 20.7 (#232), Qwen3.5 35B-A3B: 24.6 (#161)
| Benchmark | Mistral Nemo | Qwen3.5 35B-A3B |
|---|---|---|
| DTBench | 48.6% | 80% |
| Epoch Capabilities Index | 118.68 | 142.52 |
| CritPt | — | 0.6% |
| Chess Puzzles | — | 10% |
| LMArena Hard Prompts | — | 1400 |
| LMCA | — | 29.5% |
| PIQA | 83.5% | — |
Math Qwen3.5 35B-A3B leads
Mistral Nemo: 25.5 (#268), Qwen3.5 35B-A3B: 39.9 (#97)
| Benchmark | Mistral Nemo | Qwen3.5 35B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 56% |
| OTIS Mock AIME 2024-2025 | — | 70% |
| LMArena Math | — | 1404 |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |
Knowledge Qwen3.5 35B-A3B leads
Mistral Nemo: 12.3 (#298), Qwen3.5 35B-A3B: 47.8 (#79)
| Benchmark | Mistral Nemo | Qwen3.5 35B-A3B |
|---|---|---|
| GPQA Diamond | 29.9% | 83.5% |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1408 |
| BoolQ | 82.5% | — |
Multilingual Not comparable
Mistral Nemo: —, Qwen3.5 35B-A3B: 50.0 (#127)
| Benchmark | Mistral Nemo | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | — | 1378 |
| LMArena Chinese | — | 1457 |
| LMArena French | — | 1412 |
| LMArena German | — | 1367 |
| LMArena Japanese | — | 1325 |
| LMArena Korean | — | 1356 |
| LMArena Russian | — | 1376 |
| LMArena Spanish | — | 1392 |
Instruction Following Not comparable
Mistral Nemo: —, Qwen3.5 35B-A3B: 72.8 (#128)
| Benchmark | Mistral Nemo | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | — | 1379 |
Long Context Not comparable
Mistral Nemo: —, Qwen3.5 35B-A3B: 42.4 (#127)
| Benchmark | Mistral Nemo | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | — | 1389 |
Writing & Preference Qwen3.5 35B-A3B leads
Mistral Nemo: 28.5 (#296), Qwen3.5 35B-A3B: 57.9 (#124)
| Benchmark | Mistral Nemo | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | — | 1395 |
| LMArena Creative Writing | — | 1346 |
| EQ-Bench Creative Writing | 881 | — |
| LMArena Multi-Turn | — | 1390 |
Frequently asked questions
Is Mistral Nemo better than Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 26.4 on the Noometry Index. Mistral Nemo costs 4.6× less per token, which makes it the better buy when Qwen3.5 35B-A3B's lead doesn't matter for your workload.
Which is cheaper, Mistral Nemo or Qwen3.5 35B-A3B?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen3.5 35B-A3B lists at $0.25 and $2.
Which has the bigger context window?
Qwen3.5 35B-A3B does, with 262K tokens against 128K.
How many benchmarks do Mistral Nemo and Qwen3.5 35B-A3B share?
3 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3.5 35B-A3B has 28.