Model comparison
Mistral Nemo vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 25.9 on the Noometry Index. Mistral Nemo costs 5.8× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in writing & preference, where Qwen3-Next 80B-A3B Instruct leads 58.2 to 28.6.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct accepts more context: 131K tokens versus 128K.
Side by side
| Mistral Nemo | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 25.9 | 42.5 |
| Released | 2024-07-01 | 2025-09 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 128K | 33K |
| Input $ / M tokens | $0.15 | $0.50 |
| Output $ / M tokens | $0.15 | $2 |
| Results tracked | 10 | 25 |
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Category by category
Coding Not comparable
Mistral Nemo: —, Qwen3-Next 80B-A3B Instruct: 41.9 (#101)
| Benchmark | Mistral Nemo | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | — | 1441 |
Agentic & Tool Use Not comparable
Mistral Nemo: 23.3 (#118), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Mistral Nemo | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Mistral Nemo: 19.9 (#230), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)
| Benchmark | Mistral Nemo | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 66.7% |
| LMArena Hard Prompts | — | 1428 |
| DTBench | 48.6% | — |
| Epoch Capabilities Index | 118.63 | — |
| PIQA | 83.5% | — |
Math Qwen3-Next 80B-A3B Instruct leads
Mistral Nemo: 23.5 (#263), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)
| Benchmark | Mistral Nemo | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Mistral Nemo: 12.3 (#293), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)
| Benchmark | Mistral Nemo | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| GPQA Diamond | 29.9% | — |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1416 |
| BoolQ | 82.5% | — |
Multilingual Not comparable
Mistral Nemo: —, Qwen3-Next 80B-A3B Instruct: 52.3 (#88)
| Benchmark | Mistral Nemo | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | — | 1407 |
| LMArena Chinese | — | 1461 |
| LMArena French | — | 1415 |
| LMArena German | — | 1416 |
| LMArena Japanese | — | 1398 |
| LMArena Korean | — | 1366 |
| LMArena Russian | — | 1403 |
| LMArena Spanish | — | 1436 |
Instruction Following Not comparable
Mistral Nemo: —, Qwen3-Next 80B-A3B Instruct: 71.0 (#154)
| Benchmark | Mistral Nemo | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | — | 81% |
| LMArena Instruction Following | — | 1388 |
Long Context Not comparable
Mistral Nemo: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#218)
| Benchmark | Mistral Nemo | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | — | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Mistral Nemo: 28.6 (#291), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)
| Benchmark | Mistral Nemo | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1333 |
| EQ-Bench Creative Writing | 881 | — |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1415 |
Frequently asked questions
Is Mistral Nemo better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 25.9 on the Noometry Index. Mistral Nemo costs 5.8× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.
Which is cheaper, Mistral Nemo or Qwen3-Next 80B-A3B Instruct?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.
Which has the bigger context window?
Qwen3-Next 80B-A3B Instruct does, with 131K tokens against 128K.
How many benchmarks do Mistral Nemo and Qwen3-Next 80B-A3B Instruct share?
0 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.