Model comparison
Mistral Medium 3.5 vs Qwen2.5 7B Instruct
Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 9.8× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Mistral Medium 3.5 scores higher in 5 categories and Qwen2.5 7B Instruct in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Medium 3.5 leads 36.4 to 11.8.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 131K.
Side by side
| Mistral Medium 3.5 | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 39.6 | 28.6 |
| Released | — | 2024-09 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 210K | 8K |
| Input $ / M tokens | $1.50 | $0.17 |
| Output $ / M tokens | $7.50 | $0.70 |
| Results tracked | 22 | 15 |
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Category by category
Coding Too close to call
Mistral Medium 3.5: 35.7 (#208), Qwen2.5 7B Instruct: 35.9 (#204)
| Benchmark | Mistral Medium 3.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena WebDev | 1263 | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1461 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Mistral Medium 3.5: —, Qwen2.5 7B Instruct: 23.5 (#117)
| Benchmark | Mistral Medium 3.5 | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Mistral Medium 3.5 leads
Mistral Medium 3.5: 16.6 (#290), Qwen2.5 7B Instruct: 14.3 (#317)
| Benchmark | Mistral Medium 3.5 | Qwen2.5 7B Instruct |
|---|---|---|
| Epoch Capabilities Index | 141.42 | 118.44 |
| Kagi LLM Benchmark | 41.4% | — |
| NYT Connections (extended) | 12.9% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1436 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
Math Mistral Medium 3.5 leads
Mistral Medium 3.5: 36.4 (#113), Qwen2.5 7B Instruct: 11.8 (#300)
| Benchmark | Mistral Medium 3.5 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1432 | — |
Knowledge Mistral Medium 3.5 leads
Mistral Medium 3.5: 39.3 (#123), Qwen2.5 7B Instruct: 17.0 (#281)
| Benchmark | Mistral Medium 3.5 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1431 | — |
| MMLU | — | 72.9% |
Multimodal Not comparable
Mistral Medium 3.5: 37.6 (#64), Qwen2.5 7B Instruct: —
| Benchmark | Mistral Medium 3.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 1222 | — |
Multilingual Not comparable
Mistral Medium 3.5: 52.1 (#93), Qwen2.5 7B Instruct: —
| Benchmark | Mistral Medium 3.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1405 | — |
| LMArena Chinese | 1443 | — |
| LMArena French | 1448 | — |
| LMArena German | 1453 | — |
| LMArena Korean | 1387 | — |
| LMArena Russian | 1396 | — |
| LMArena Spanish | 1406 | — |
Instruction Following Mistral Medium 3.5 leads
Mistral Medium 3.5: 74.7 (#87), Qwen2.5 7B Instruct: 63.4 (#226)
| Benchmark | Mistral Medium 3.5 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
Mistral Medium 3.5: 43.2 (#101), Qwen2.5 7B Instruct: —
| Benchmark | Mistral Medium 3.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1414 | — |
Writing & Preference Mistral Medium 3.5 leads
Mistral Medium 3.5: 58.6 (#113), Qwen2.5 7B Instruct: 48.8 (#194)
| Benchmark | Mistral Medium 3.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1421 | — |
| LMArena Creative Writing | 1372 | — |
| WildBench | — | 73.1% |
| EQ-Bench 4 | 993 | — |
| LMArena Multi-Turn | 1423 | — |
Frequently asked questions
Is Mistral Medium 3.5 better than Qwen2.5 7B Instruct?
Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 9.8× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Which is cheaper, Mistral Medium 3.5 or Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is Mistral Medium 3.5 or Qwen2.5 7B Instruct better for coding?
They score almost the same on coding (35.7 vs 35.9); test both on your own repository before choosing.
Which has the bigger context window?
Mistral Medium 3.5 does, with 262K tokens against 131K.
How many benchmarks do Mistral Medium 3.5 and Qwen2.5 7B Instruct share?
1 benchmark has published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen2.5 7B Instruct has 15.