Model comparison
Mistral Nemo vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 26.4 on the Noometry Index. Mistral Nemo costs 7.4× 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. Mistral Nemo scores higher in 0 categories and Qwen3.8 27B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.8 27B leads 65.8 to 28.5.
- The biggest single-benchmark swing is DTBench: 48.6% for Mistral Nemo and 88% for Qwen3.8 27B.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.99 / $1.49 for Qwen3.8 27B.
- Qwen3.8 27B accepts more context: 262K tokens versus 128K.
Side by side
| Mistral Nemo | Qwen3.8 27B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.4 | 46.0 |
| Released | 2024-07-01 | 2026-08-14 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 33K |
| Input $ / M tokens | $0.15 | $0.99 |
| Output $ / M tokens | $0.15 | $1.49 |
| Results tracked | 10 | 31 |
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Category by category
Coding Not comparable
Mistral Nemo: —, Qwen3.8 27B: 50.5 (#44)
| Benchmark | Mistral Nemo | Qwen3.8 27B |
|---|---|---|
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
| LMArena Coding | — | 1482 |
Agentic & Tool Use Qwen3.8 27B leads
Mistral Nemo: 23.5 (#125), Qwen3.8 27B: 32.9 (#57)
| Benchmark | Mistral Nemo | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |
Reasoning Qwen3.8 27B leads
Mistral Nemo: 20.7 (#232), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Mistral Nemo | Qwen3.8 27B |
|---|---|---|
| DTBench | 48.6% | 88% |
| Epoch Capabilities Index | 118.68 | 149.38 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| LMArena Hard Prompts | — | 1460 |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| PIQA | 83.5% | — |
Math Qwen3.8 27B leads
Mistral Nemo: 25.5 (#268), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Mistral Nemo | Qwen3.8 27B |
|---|---|---|
| ProofBench | — | 16% |
| LMArena Math | — | 1456 |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |
Knowledge Qwen3.8 27B leads
Mistral Nemo: 12.3 (#298), Qwen3.8 27B: 41.6 (#109)
| Benchmark | Mistral Nemo | Qwen3.8 27B |
|---|---|---|
| GPQA Diamond | 29.9% | — |
| LMArena Expert | — | 1482 |
| BoolQ | 82.5% | — |
Multimodal Not comparable
Mistral Nemo: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | Mistral Nemo | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Not comparable
Mistral Nemo: —, Qwen3.8 27B: 53.7 (#60)
| Benchmark | Mistral Nemo | 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
Mistral Nemo: —, Qwen3.8 27B: 75.8 (#53)
| Benchmark | Mistral Nemo | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | — | 1439 |
Long Context Not comparable
Mistral Nemo: —, Qwen3.8 27B: 44.3 (#70)
| Benchmark | Mistral Nemo | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | — | 1450 |
Writing & Preference Qwen3.8 27B leads
Mistral Nemo: 28.5 (#296), Qwen3.8 27B: 65.8 (#43)
| Benchmark | Mistral Nemo | Qwen3.8 27B |
|---|---|---|
| EQ-Bench Creative Writing | 881 | 1671 |
| LMArena Text | — | 1441 |
| LMArena Creative Writing | — | 1384 |
| LMArena Multi-Turn | — | 1441 |
Frequently asked questions
Is Mistral Nemo better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 26.4 on the Noometry Index. Mistral Nemo costs 7.4× less per token, which makes it the better buy when Qwen3.8 27B's lead doesn't matter for your workload.
Which is cheaper, Mistral Nemo or Qwen3.8 27B?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 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 128K.
How many benchmarks do Mistral Nemo and Qwen3.8 27B share?
3 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3.8 27B has 31.