Model comparison
Qwen3 14B vs Wizardlm 70b
Qwen3 14B is the stronger model overall, scoring 35.5 to 33.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)
MicrosoftSummary
- The widest gap is in math, where Qwen3 14B leads 38.6 to 32.2.
Side by side
| Qwen3 14B | Wizardlm 70b | |
|---|---|---|
| Provider | Alibaba (Qwen) | Microsoft |
| Noometry Index | 35.5 | 33.0 |
| Released | 2025-04 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.35 | — |
| Output $ / M tokens | $1.40 | — |
| Results tracked | 12 | 12 |
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Category by category
Coding Qwen3 14B leads
Qwen3 14B: 37.3 (#195), Wizardlm 70b: 31.4 (#285)
| Benchmark | Qwen3 14B | Wizardlm 70b |
|---|---|---|
| SciCode | 31.6% | — |
| LMArena Coding | — | 1081 |
Agentic & Tool Use Not comparable
Qwen3 14B: 29.6 (#83), Wizardlm 70b: —
| Benchmark | Qwen3 14B | Wizardlm 70b |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41% | — |
Reasoning Wizardlm 70b leads
Qwen3 14B: 18.5 (#280), Wizardlm 70b: 20.7 (#234)
| Benchmark | Qwen3 14B | Wizardlm 70b |
|---|---|---|
| Kagi LLM Benchmark | 49.1% | — |
| CritPt | 0% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | — | 1079 |
| DTBench | 64% | — |
| LMCA | 18.2% | — |
| Epoch Capabilities Index | 138.23 | — |
Math Qwen3 14B leads
Qwen3 14B: 38.6 (#133), Wizardlm 70b: 32.2 (#218)
| Benchmark | Qwen3 14B | Wizardlm 70b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.4% | — |
| LMArena Math | — | 1116 |
Knowledge Not comparable
Qwen3 14B: 39.3 (#134), Wizardlm 70b: —
| Benchmark | Qwen3 14B | Wizardlm 70b |
|---|---|---|
| GPQA Diamond | 63.8% | — |
| Vectara Hallucination Rate | 5.4% | — |
Multilingual Not comparable
Qwen3 14B: —, Wizardlm 70b: 29.6 (#265)
| Benchmark | Qwen3 14B | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | — | 1078 |
| LMArena Chinese | — | 1052 |
| LMArena German | — | 1083 |
| LMArena Russian | — | 1155 |
Instruction Following Not comparable
Qwen3 14B: —, Wizardlm 70b: 56.3 (#273)
| Benchmark | Qwen3 14B | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | — | 1093 |
Long Context Qwen3 14B leads
Qwen3 14B: 38.1 (#204), Wizardlm 70b: 33.3 (#263)
| Benchmark | Qwen3 14B | Wizardlm 70b |
|---|---|---|
| Fiction.LiveBench | 62.5% | — |
| LMArena Longer Query | — | 1097 |
Writing & Preference Not comparable
Qwen3 14B: —, Wizardlm 70b: 34.8 (#269)
| Benchmark | Qwen3 14B | Wizardlm 70b |
|---|---|---|
| LMArena Text | — | 1120 |
| LMArena Creative Writing | — | 1149 |
| LMArena Multi-Turn | — | 1108 |
Frequently asked questions
Is Qwen3 14B better than Wizardlm 70b?
Qwen3 14B is the stronger model overall, scoring 35.5 to 33.0 on the Noometry Index.
Is Qwen3 14B or Wizardlm 70b better for coding?
Qwen3 14B scores higher on coding benchmarks: 37.3 versus 31.4 in the Noometry coding category.
How many benchmarks do Qwen3 14B and Wizardlm 70b share?
0 benchmarks have published results for both models. Qwen3 14B has 12 scored results on Noometry and Wizardlm 70b has 12.