Model comparison
Ministral 3B vs Qwen2.5 7B Instruct
Qwen2.5 7B Instruct is the stronger model overall, scoring 28.6 to 25.6 on the Noometry Index. Ministral 3B costs 7.7× less per token, which makes it the better buy when Qwen2.5 7B Instruct's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Ministral 3B scores higher in 2 categories and Qwen2.5 7B Instruct in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Ministral 3B leads 24.5 to 11.8.
- The biggest single-benchmark swing is GPQA Diamond: 25.3% for Ministral 3B and 35.5% for Qwen2.5 7B Instruct.
- Ministral 3B is cheaper at $0.04 / $0.04 per million input/output tokens, against $0.17 / $0.70 for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct accepts more context: 131K tokens versus 128K.
Side by side
| Ministral 3B | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 25.6 | 28.6 |
| Released | 2024-10-01 | 2024-09 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $0.04 | $0.17 |
| Output $ / M tokens | $0.04 | $0.70 |
| Results tracked | 6 | 15 |
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Category by category
Coding Not comparable
Ministral 3B: —, Qwen2.5 7B Instruct: 35.9 (#204)
| Benchmark | Ministral 3B | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Ministral 3B: —, Qwen2.5 7B Instruct: 23.5 (#117)
| Benchmark | Ministral 3B | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Ministral 3B leads
Ministral 3B: 17.7 (#278), Qwen2.5 7B Instruct: 14.3 (#317)
| Benchmark | Ministral 3B | Qwen2.5 7B Instruct |
|---|---|---|
| DTBench | 51.7% | 47.7% |
| LMCA | 5.5% | 6.4% |
| Epoch Capabilities Index | 118.08 | 118.44 |
| Chess Puzzles | — | 0% |
Math Ministral 3B leads
Ministral 3B: 24.5 (#257), Qwen2.5 7B Instruct: 11.8 (#300)
| Benchmark | Ministral 3B | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| MATH Level 5 | 14.4% | — |
Knowledge Qwen2.5 7B Instruct leads
Ministral 3B: 10.4 (#297), Qwen2.5 7B Instruct: 17.0 (#281)
| Benchmark | Ministral 3B | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | 25.3% | 35.5% |
| MMLU-Pro | — | 53.9% |
| Vectara Hallucination Rate | 7.3% | — |
| GPQA (HELM) | — | 34.1% |
| MMLU | — | 72.9% |
Instruction Following Not comparable
Ministral 3B: —, Qwen2.5 7B Instruct: 63.4 (#226)
| Benchmark | Ministral 3B | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
Writing & Preference Not comparable
Ministral 3B: —, Qwen2.5 7B Instruct: 48.8 (#194)
| Benchmark | Ministral 3B | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | — | 73.1% |
Frequently asked questions
Is Ministral 3B better than Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct is the stronger model overall, scoring 28.6 to 25.6 on the Noometry Index. Ministral 3B costs 7.7× less per token, which makes it the better buy when Qwen2.5 7B Instruct's lead doesn't matter for your workload.
Which is cheaper, Ministral 3B or Qwen2.5 7B Instruct?
Ministral 3B is cheaper. It lists at $0.04 per million input tokens and $0.04 per million output tokens; Qwen2.5 7B Instruct lists at $0.17 and $0.70.
Which has the bigger context window?
Qwen2.5 7B Instruct does, with 131K tokens against 128K.
How many benchmarks do Ministral 3B and Qwen2.5 7B Instruct share?
4 benchmarks have published results for both models. Ministral 3B has 6 scored results on Noometry and Qwen2.5 7B Instruct has 15.