Model comparison
Qwen2.5 7B Instruct vs Wizardlm 70b
Wizardlm 70b is the stronger model overall, scoring 33.0 to 29.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)
MicrosoftSummary
- The widest gap is in math, where Wizardlm 70b leads 32.2 to 12.6.
Side by side
| Qwen2.5 7B Instruct | Wizardlm 70b | |
|---|---|---|
| Provider | Alibaba (Qwen) | Microsoft |
| Noometry Index | 29.0 | 33.0 |
| Released | 2024-09 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.17 | — |
| Output $ / M tokens | $0.70 | — |
| Results tracked | 15 | 12 |
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Category by category
Coding Qwen2.5 7B Instruct leads
Qwen2.5 7B Instruct: 36.5 (#208), Wizardlm 70b: 31.4 (#285)
| Benchmark | Qwen2.5 7B Instruct | Wizardlm 70b |
|---|---|---|
| BigCodeBench Instruct | 37.6% | — |
| LMArena Coding | — | 1081 |
| BigCodeBench Complete | 46.1% | — |
Agentic & Tool Use Not comparable
Qwen2.5 7B Instruct: 23.8 (#124), Wizardlm 70b: —
| Benchmark | Qwen2.5 7B Instruct | Wizardlm 70b |
|---|---|---|
| BALROG | 7.8% | — |
Reasoning Wizardlm 70b leads
Qwen2.5 7B Instruct: 14.8 (#322), Wizardlm 70b: 20.7 (#234)
| Benchmark | Qwen2.5 7B Instruct | Wizardlm 70b |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | — | 1079 |
| DTBench | 47.7% | — |
| LMCA | 6.4% | — |
| Epoch Capabilities Index | 118.51 | — |
Math Wizardlm 70b leads
Qwen2.5 7B Instruct: 12.6 (#306), Wizardlm 70b: 32.2 (#218)
| Benchmark | Qwen2.5 7B Instruct | Wizardlm 70b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.5% | — |
| Omni-MATH | 29.4% | — |
| LMArena Math | — | 1116 |
Knowledge Not comparable
Qwen2.5 7B Instruct: 17.0 (#286), Wizardlm 70b: —
| Benchmark | Qwen2.5 7B Instruct | Wizardlm 70b |
|---|---|---|
| GPQA Diamond | 35.5% | — |
| MMLU-Pro | 53.9% | — |
| GPQA (HELM) | 34.1% | — |
| MMLU | 72.9% | — |
Multilingual Not comparable
Qwen2.5 7B Instruct: —, Wizardlm 70b: 29.6 (#265)
| Benchmark | Qwen2.5 7B Instruct | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | — | 1078 |
| LMArena Chinese | — | 1052 |
| LMArena German | — | 1083 |
| LMArena Russian | — | 1155 |
Instruction Following Qwen2.5 7B Instruct leads
Qwen2.5 7B Instruct: 63.2 (#231), Wizardlm 70b: 56.3 (#273)
| Benchmark | Qwen2.5 7B Instruct | Wizardlm 70b |
|---|---|---|
| IFEval | 74.1% | — |
| LMArena Instruction Following | — | 1093 |
Long Context Not comparable
Qwen2.5 7B Instruct: —, Wizardlm 70b: 33.3 (#263)
| Benchmark | Qwen2.5 7B Instruct | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | — | 1097 |
Writing & Preference Qwen2.5 7B Instruct leads
Qwen2.5 7B Instruct: 48.8 (#195), Wizardlm 70b: 34.8 (#269)
| Benchmark | Qwen2.5 7B Instruct | Wizardlm 70b |
|---|---|---|
| LMArena Text | — | 1120 |
| LMArena Creative Writing | — | 1149 |
| WildBench | 73.1% | — |
| LMArena Multi-Turn | — | 1108 |
Frequently asked questions
Is Qwen2.5 7B Instruct better than Wizardlm 70b?
Wizardlm 70b is the stronger model overall, scoring 33.0 to 29.0 on the Noometry Index.
Is Qwen2.5 7B Instruct or Wizardlm 70b better for coding?
Qwen2.5 7B Instruct scores higher on coding benchmarks: 36.5 versus 31.4 in the Noometry coding category.
How many benchmarks do Qwen2.5 7B Instruct and Wizardlm 70b share?
0 benchmarks have published results for both models. Qwen2.5 7B Instruct has 15 scored results on Noometry and Wizardlm 70b has 12.