Model comparison
Mistral 7B vs Qwen2.5 14B Instruct
Mistral 7B has enough public results to be ranked (#346); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Qwen2.5 14B Instruct in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Qwen2.5 14B Instruct leads 37.1 to 25.9.
- The biggest single-benchmark swing is BigCodeBench Complete: 27.3% for Mistral 7B and 52.2% for Qwen2.5 14B Instruct.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.35 / $1.40 for Qwen2.5 14B Instruct.
- Qwen2.5 14B Instruct accepts more context: 131K tokens versus 8K.
Side by side
| Mistral 7B | Qwen2.5 14B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 22.9 | 38.2 |
| Released | 2023-09-27 | 2024-09 |
| Weights | Open | Open |
| Context window | 8K | 131K |
| Max output | 8K | 8K |
| Input $ / M tokens | $0.25 | $0.35 |
| Output $ / M tokens | $0.25 | $1.40 |
| Results tracked | 37 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen2.5 14B Instruct leads
Mistral 7B: 25.9 (#321), Qwen2.5 14B Instruct: 37.1 (#187)
| Benchmark | Mistral 7B | Qwen2.5 14B Instruct |
|---|---|---|
| BigCodeBench Instruct | 19.5% | 39.8% |
| BigCodeBench Complete | 27.3% | 52.2% |
| LMArena Coding | 1082 | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Not comparable
Mistral 7B: 12.6 (#331), Qwen2.5 14B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5 14B Instruct |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1067 | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 111.97 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Not comparable
Mistral 7B: 7.6 (#319), Qwen2.5 14B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5 14B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| LMArena Math | 1085 | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Not comparable
Mistral 7B: 7.3 (#306), Qwen2.5 14B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5 14B Instruct |
|---|---|---|
| MMLU | 62.5% | 79.9% |
| GPQA Diamond | 15.2% | — |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Not comparable
Mistral 7B: 26.0 (#278), Qwen2.5 14B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Non-English | 1012 | — |
| LMArena Chinese | 1009 | — |
| LMArena French | 1036 | — |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
| LMArena Russian | 1018 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Not comparable
Mistral 7B: 54.5 (#275), Qwen2.5 14B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Mistral 7B: 32.2 (#266), Qwen2.5 14B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Longer Query | 1060 | — |
Writing & Preference Not comparable
Mistral 7B: 30.9 (#281), Qwen2.5 14B Instruct: —
| Benchmark | Mistral 7B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1062 | — |
Frequently asked questions
Is Mistral 7B better than Qwen2.5 14B Instruct?
Mistral 7B has enough public results to be ranked (#346); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Which is cheaper, Mistral 7B or Qwen2.5 14B Instruct?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen2.5 14B Instruct lists at $0.35 and $1.40.
Is Mistral 7B or Qwen2.5 14B Instruct better for coding?
Qwen2.5 14B Instruct scores higher on coding benchmarks: 37.1 versus 25.9 in the Noometry coding category.
Which has the bigger context window?
Qwen2.5 14B Instruct does, with 131K tokens against 8K.
How many benchmarks do Mistral 7B and Qwen2.5 14B Instruct share?
3 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen2.5 14B Instruct has 3.