Model comparison
Mixtral 8x7B vs Qwen2.5 14B Instruct
Mixtral 8x7B has enough public results to be ranked (#334); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Mixtral 8x7B 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 37.7 to 32.8.
- Qwen2.5 14B Instruct is cheaper at $0.35 / $1.40 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- Qwen2.5 14B Instruct accepts more context: 131K tokens versus 32K.
Side by side
| Mixtral 8x7B | Qwen2.5 14B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 27.1 | 38.7 |
| Released | 2023-12-11 | 2024-09 |
| Weights | Open | Open |
| Context window | 32K | 131K |
| Max output | 32K | 8K |
| Input $ / M tokens | $0.70 | $0.35 |
| Output $ / M tokens | $0.70 | $1.40 |
| Results tracked | 38 | 3 |
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Category by category
Coding Qwen2.5 14B Instruct leads
Mixtral 8x7B: 32.8 (#269), Qwen2.5 14B Instruct: 37.7 (#191)
| Benchmark | Mixtral 8x7B | Qwen2.5 14B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 39.8% |
| LMArena Coding | 1126 | — |
| BigCodeBench Complete | — | 52.2% |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |
Reasoning Not comparable
Mixtral 8x7B: 18.2 (#285), Qwen2.5 14B Instruct: —
| Benchmark | Mixtral 8x7B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1115 | — |
| DTBench | 49.6% | — |
| Adversarial NLI | 55.2% | — |
| Epoch Capabilities Index | 118.47 | — |
| ForecastBench | 56.3 | — |
| HellaSwag | 86.7% | — |
| PIQA | 83.6% | — |
| WinoGrande | 77.2% | — |
Math Not comparable
Mixtral 8x7B: 18.8 (#289), Qwen2.5 14B Instruct: —
| Benchmark | Mixtral 8x7B | Qwen2.5 14B Instruct |
|---|---|---|
| Omni-MATH | 10.5% | — |
| LMArena Math | 1147 | — |
| MATH Level 5 | 10% | — |
| GSM8K | 74.4% | — |
Knowledge Not comparable
Mixtral 8x7B: 11.0 (#301), Qwen2.5 14B Instruct: —
| Benchmark | Mixtral 8x7B | Qwen2.5 14B Instruct |
|---|---|---|
| MMLU | 70.6% | 79.9% |
| GPQA Diamond | 30.6% | — |
| MMLU-Pro | 33.5% | — |
| GPQA (HELM) | 29.6% | — |
| LMArena Expert | 1088 | — |
| ARC (AI2) Challenge | 87.3% | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |
Multilingual Not comparable
Mixtral 8x7B: 29.6 (#266), Qwen2.5 14B Instruct: —
| Benchmark | Mixtral 8x7B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Non-English | 1077 | — |
| LMArena Chinese | 1055 | — |
| LMArena French | 1166 | — |
| LMArena German | 1114 | — |
| LMArena Japanese | 931 | — |
| LMArena Korean | 968 | — |
| LMArena Russian | 1090 | — |
| LMArena Spanish | 1111 | — |
Instruction Following Not comparable
Mixtral 8x7B: 51.0 (#297), Qwen2.5 14B Instruct: —
| Benchmark | Mixtral 8x7B | Qwen2.5 14B Instruct |
|---|---|---|
| IFEval | 57.5% | — |
| LMArena Instruction Following | 1109 | — |
Long Context Not comparable
Mixtral 8x7B: 33.4 (#260), Qwen2.5 14B Instruct: —
| Benchmark | Mixtral 8x7B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Longer Query | 1103 | — |
Writing & Preference Not comparable
Mixtral 8x7B: 34.2 (#270), Qwen2.5 14B Instruct: —
| Benchmark | Mixtral 8x7B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Text | 1132 | — |
| LMArena Creative Writing | 1109 | — |
| WildBench | 67.3% | — |
| LMArena Multi-Turn | 1115 | — |
Frequently asked questions
Is Mixtral 8x7B better than Qwen2.5 14B Instruct?
Mixtral 8x7B has enough public results to be ranked (#334); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Which is cheaper, Mixtral 8x7B or Qwen2.5 14B Instruct?
Qwen2.5 14B Instruct is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.
Is Mixtral 8x7B or Qwen2.5 14B Instruct better for coding?
Qwen2.5 14B Instruct scores higher on coding benchmarks: 37.7 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Qwen2.5 14B Instruct does, with 131K tokens against 32K.
How many benchmarks do Mixtral 8x7B and Qwen2.5 14B Instruct share?
1 benchmark has published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen2.5 14B Instruct has 3.