Model comparison
DeepSeek-R1-Distill-Qwen-14B vs Wizardlm 70b
DeepSeek-R1-Distill-Qwen-14B and Wizardlm 70b score almost the same on the Noometry Index (32.7 vs 33.0), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
DeepSeek
MicrosoftSummary
- The widest gap is in coding, where DeepSeek-R1-Distill-Qwen-14B leads 36.9 to 31.4.
Side by side
| DeepSeek-R1-Distill-Qwen-14B | Wizardlm 70b | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 32.7 | 33.0 |
| Released | 2025-01-20 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 12 |
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Category by category
Coding DeepSeek-R1-Distill-Qwen-14B leads
DeepSeek-R1-Distill-Qwen-14B: 36.9 (#200), Wizardlm 70b: 31.4 (#285)
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Wizardlm 70b |
|---|---|---|
| BigCodeBench Instruct | 38.1% | — |
| LMArena Coding | — | 1081 |
| BigCodeBench Complete | 48.4% | — |
Reasoning Wizardlm 70b leads
DeepSeek-R1-Distill-Qwen-14B: 19.2 (#263), Wizardlm 70b: 20.7 (#234)
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Wizardlm 70b |
|---|---|---|
| Chess Puzzles | 1% | — |
| LMArena Hard Prompts | — | 1079 |
| Epoch Capabilities Index | 135.43 | — |
Math DeepSeek-R1-Distill-Qwen-14B leads
DeepSeek-R1-Distill-Qwen-14B: 35.5 (#184), Wizardlm 70b: 32.2 (#218)
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Wizardlm 70b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 50.6% | — |
| LMArena Math | — | 1116 |
| MATH Level 5 | 87.1% | — |
Knowledge Not comparable
DeepSeek-R1-Distill-Qwen-14B: 24.1 (#270), Wizardlm 70b: —
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Wizardlm 70b |
|---|---|---|
| GPQA Diamond | 44.7% | — |
Multilingual Not comparable
DeepSeek-R1-Distill-Qwen-14B: —, Wizardlm 70b: 29.6 (#265)
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | — | 1078 |
| LMArena Chinese | — | 1052 |
| LMArena German | — | 1083 |
| LMArena Russian | — | 1155 |
Instruction Following Not comparable
DeepSeek-R1-Distill-Qwen-14B: —, Wizardlm 70b: 56.3 (#273)
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | — | 1093 |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-14B: —, Wizardlm 70b: 33.3 (#263)
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | — | 1097 |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Qwen-14B: —, Wizardlm 70b: 34.8 (#269)
| Benchmark | DeepSeek-R1-Distill-Qwen-14B | Wizardlm 70b |
|---|---|---|
| LMArena Text | — | 1120 |
| LMArena Creative Writing | — | 1149 |
| LMArena Multi-Turn | — | 1108 |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-14B better than Wizardlm 70b?
DeepSeek-R1-Distill-Qwen-14B and Wizardlm 70b score almost the same on the Noometry Index (32.7 vs 33.0), so choose on price, context window or the category you care about most.
Is DeepSeek-R1-Distill-Qwen-14B or Wizardlm 70b better for coding?
DeepSeek-R1-Distill-Qwen-14B scores higher on coding benchmarks: 36.9 versus 31.4 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-14B and Wizardlm 70b share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-14B has 7 scored results on Noometry and Wizardlm 70b has 12.