Model comparison
Mistral Large 4 vs Qwen2.5 7B Instruct
Mistral Large 4 is the stronger model overall, scoring 43.1 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 3.4× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in math, where Mistral Large 4 leads 40.4 to 12.6.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 131K.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| Mistral Large 4 | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 43.1 | 29.0 |
| Released | 2026-10-06 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 262K | 8K |
| Input $ / M tokens | $0.68 | $0.17 |
| Output $ / M tokens | $2.09 | $0.70 |
| Results tracked | 15 | 15 |
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Category by category
Coding Mistral Large 4 leads
Mistral Large 4: 48.6 (#57), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Mistral Large 4 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena WebDev | 1541 | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1475 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Mistral Large 4: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Mistral Large 4 | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Mistral Large 4 leads
Mistral Large 4: 22.5 (#192), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Mistral Large 4 | Qwen2.5 7B Instruct |
|---|---|---|
| NYT Connections (extended) | 27.4% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1444 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.51 |
Math Mistral Large 4 leads
Mistral Large 4: 40.4 (#91), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Mistral Large 4 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1488 | — |
Knowledge Mistral Large 4 leads
Mistral Large 4: 36.6 (#166), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Mistral Large 4 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| SimpleQA Verified | 20% | — |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1447 | — |
| MMLU | — | 72.9% |
Multilingual Not comparable
Mistral Large 4: 52.6 (#82), Qwen2.5 7B Instruct: —
| Benchmark | Mistral Large 4 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1415 | — |
| LMArena Chinese | 1491 | — |
| LMArena Russian | 1414 | — |
Instruction Following Mistral Large 4 leads
Mistral Large 4: 75.0 (#76), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Mistral Large 4 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1424 | — |
Long Context Not comparable
Mistral Large 4: 43.6 (#89), Qwen2.5 7B Instruct: —
| Benchmark | Mistral Large 4 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1429 | — |
Writing & Preference Mistral Large 4 leads
Mistral Large 4: 60.4 (#97), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Mistral Large 4 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1361 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1424 | — |
Frequently asked questions
Is Mistral Large 4 better than Qwen2.5 7B Instruct?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 3.4× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Which is cheaper, Mistral Large 4 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 Large 4 lists at $0.68 and $2.09.
Is Mistral Large 4 or Qwen2.5 7B Instruct better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 36.5 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 131K.
How many benchmarks do Mistral Large 4 and Qwen2.5 7B Instruct share?
0 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Qwen2.5 7B Instruct has 15.