Model comparison
Mistral Nemo vs Qwen1.5-72B
Qwen1.5-72B is the stronger model overall, scoring 30.8 to 26.4 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Mistral Nemo scores higher in 1 category and Qwen1.5-72B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen1.5-72B leads 37.3 to 28.5.
Side by side
| Mistral Nemo | Qwen1.5-72B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.4 | 30.8 |
| Released | 2024-07-01 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.15 | — |
| Results tracked | 10 | 22 |
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Category by category
Coding Not comparable
Mistral Nemo: —, Qwen1.5-72B: 31.9 (#277)
| Benchmark | Mistral Nemo | Qwen1.5-72B |
|---|---|---|
| BigCodeBench Instruct | — | 33.2% |
| LMArena Coding | — | 1165 |
| BigCodeBench Complete | — | 40.3% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |
Agentic & Tool Use Not comparable
Mistral Nemo: 23.5 (#125), Qwen1.5-72B: —
| Benchmark | Mistral Nemo | Qwen1.5-72B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |
Reasoning Qwen1.5-72B leads
Mistral Nemo: 20.7 (#232), Qwen1.5-72B: 22.2 (#203)
| Benchmark | Mistral Nemo | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | — | 1148 |
| DTBench | 48.6% | — |
| Epoch Capabilities Index | 118.68 | — |
| PIQA | 83.5% | — |
Math Qwen1.5-72B leads
Mistral Nemo: 25.5 (#268), Qwen1.5-72B: 33.2 (#205)
| Benchmark | Mistral Nemo | Qwen1.5-72B |
|---|---|---|
| LMArena Math | — | 1164 |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |
Knowledge Too close to call
Mistral Nemo: 12.3 (#298), Qwen1.5-72B: 11.5 (#300)
| Benchmark | Mistral Nemo | Qwen1.5-72B |
|---|---|---|
| GPQA Diamond | 29.9% | 28.8% |
| LMArena Expert | — | 1136 |
| BoolQ | 82.5% | — |
Multilingual Not comparable
Mistral Nemo: —, Qwen1.5-72B: 33.2 (#253)
| Benchmark | Mistral Nemo | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | — | 1135 |
| LMArena Chinese | — | 1186 |
| LMArena French | — | 1159 |
| LMArena German | — | 1084 |
| LMArena Japanese | — | 1061 |
| LMArena Korean | — | 1050 |
| LMArena Russian | — | 1104 |
| LMArena Spanish | — | 1110 |
Instruction Following Not comparable
Mistral Nemo: —, Qwen1.5-72B: 59.3 (#256)
| Benchmark | Mistral Nemo | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | — | 1141 |
Long Context Not comparable
Mistral Nemo: —, Qwen1.5-72B: 35.1 (#243)
| Benchmark | Mistral Nemo | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | — | 1157 |
Writing & Preference Qwen1.5-72B leads
Mistral Nemo: 28.5 (#296), Qwen1.5-72B: 37.3 (#258)
| Benchmark | Mistral Nemo | Qwen1.5-72B |
|---|---|---|
| LMArena Text | — | 1166 |
| LMArena Creative Writing | — | 1137 |
| EQ-Bench Creative Writing | 881 | — |
| LMArena Multi-Turn | — | 1160 |
Frequently asked questions
Is Mistral Nemo better than Qwen1.5-72B?
Qwen1.5-72B is the stronger model overall, scoring 30.8 to 26.4 on the Noometry Index.
How many benchmarks do Mistral Nemo and Qwen1.5-72B share?
1 benchmark has published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen1.5-72B has 22.