Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs Wizardlm 13b
Wizardlm 13b is the stronger model overall, scoring 31.4 to 26.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
MicrosoftSummary
- The widest gap is in coding, where Wizardlm 13b leads 30.1 to 21.8.
Side by side
| DeepSeek-R1-Distill-Qwen-1.5B | Wizardlm 13b | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 26.1 | 31.4 |
| Released | 2025-01-20 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 5 | 10 |
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Category by category
Coding Wizardlm 13b leads
DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#336), Wizardlm 13b: 30.1 (#298)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Wizardlm 13b |
|---|---|---|
| BigCodeBench Instruct | 7% | — |
| LMArena Coding | — | 1035 |
| BigCodeBench Complete | 7.9% | — |
Reasoning Too close to call
DeepSeek-R1-Distill-Qwen-1.5B: 19.2 (#262), Wizardlm 13b: 19.4 (#259)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Wizardlm 13b |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | — | 1018 |
Math Wizardlm 13b leads
DeepSeek-R1-Distill-Qwen-1.5B: 23.0 (#274), Wizardlm 13b: 30.2 (#238)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Wizardlm 13b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 21.4% | — |
| LMArena Math | — | 1017 |
Knowledge Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#290), Wizardlm 13b: —
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Wizardlm 13b |
|---|---|---|
| GPQA Diamond | 33.6% | — |
Multilingual Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Wizardlm 13b: 27.1 (#277)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Wizardlm 13b |
|---|---|---|
| LMArena Non-English | — | 1034 |
| LMArena Chinese | — | 1023 |
Instruction Following Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Wizardlm 13b: 53.5 (#285)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Wizardlm 13b |
|---|---|---|
| LMArena Instruction Following | — | 1048 |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Wizardlm 13b: 32.0 (#273)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Wizardlm 13b |
|---|---|---|
| LMArena Longer Query | — | 1054 |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Wizardlm 13b: 30.5 (#287)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Wizardlm 13b |
|---|---|---|
| LMArena Text | — | 1077 |
| LMArena Creative Writing | — | 1091 |
| LMArena Multi-Turn | — | 1047 |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-1.5B better than Wizardlm 13b?
Wizardlm 13b is the stronger model overall, scoring 31.4 to 26.1 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-1.5B or Wizardlm 13b better for coding?
Wizardlm 13b scores higher on coding benchmarks: 30.1 versus 21.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-1.5B and Wizardlm 13b share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-1.5B has 5 scored results on Noometry and Wizardlm 13b has 10.