Model comparison
Mistral 7B vs Qwen2.5-VL 72B Instruct
Qwen2.5-VL 72B Instruct is the stronger model overall, scoring 29.9 to 23.0 on the Noometry Index. Mistral 7B costs 17× less per token, which makes it the better buy when Qwen2.5-VL 72B Instruct's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Qwen2.5-VL 72B Instruct leads 20.7 to 13.1.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
- Qwen2.5-VL 72B Instruct accepts more context: 131K tokens versus 8K.
Side by side
| Mistral 7B | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 23.0 | 29.9 |
| Released | 2023-09-27 | 2024-09 |
| Weights | Open | Open |
| Context window | 8K | 131K |
| Max output | 8K | 8K |
| Input $ / M tokens | $0.25 | $2.80 |
| Output $ / M tokens | $0.25 | $8.40 |
| Results tracked | 37 | 6 |
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Category by category
Coding Not comparable
Mistral 7B: 26.4 (#326), Qwen2.5-VL 72B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| BigCodeBench Instruct | 19.5% | — |
| LMArena Coding | 1082 | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Agentic & Tool Use Not comparable
Mistral 7B: —, Qwen2.5-VL 72B Instruct: 18.6 (#144)
| Benchmark | Mistral 7B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OSWorld | — | 5% |
Reasoning Qwen2.5-VL 72B Instruct leads
Mistral 7B: 13.1 (#336), Qwen2.5-VL 72B Instruct: 20.7 (#233)
| Benchmark | Mistral 7B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 36% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1067 | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 112.21 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Not comparable
Mistral 7B: 8.1 (#325), Qwen2.5-VL 72B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| LMArena Math | 1085 | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Not comparable
Mistral 7B: 7.4 (#311), Qwen2.5-VL 72B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| GPQA Diamond | 15.2% | — |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multimodal Not comparable
Mistral 7B: —, Qwen2.5-VL 72B Instruct: 33.5 (#97)
| Benchmark | Mistral 7B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | — | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| SpatialViz-Bench | — | 33.3% |
Multilingual Not comparable
Mistral 7B: 25.8 (#283), Qwen2.5-VL 72B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Non-English | 1012 | — |
| LMArena Chinese | 1009 | — |
| LMArena French | 1037 | — |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
| LMArena Russian | 1018 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Not comparable
Mistral 7B: 54.2 (#280), Qwen2.5-VL 72B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Mistral 7B: 32.2 (#271), Qwen2.5-VL 72B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1060 | — |
Writing & Preference Not comparable
Mistral 7B: 30.7 (#286), Qwen2.5-VL 72B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1062 | — |
Frequently asked questions
Is Mistral 7B better than Qwen2.5-VL 72B Instruct?
Qwen2.5-VL 72B Instruct is the stronger model overall, scoring 29.9 to 23.0 on the Noometry Index. Mistral 7B costs 17× less per token, which makes it the better buy when Qwen2.5-VL 72B Instruct's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or Qwen2.5-VL 72B Instruct?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.
Which has the bigger context window?
Qwen2.5-VL 72B Instruct does, with 131K tokens against 8K.
How many benchmarks do Mistral 7B and Qwen2.5-VL 72B Instruct share?
0 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.