Model comparison
Qwen1.5-72B vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.0 to 30.3 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Qwen1.5-72B scores higher in 1 category and Qwen3 14B in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 14B leads 39.2 to 11.5.
- The biggest single-benchmark swing is GPQA Diamond: 28.8% for Qwen1.5-72B and 63.8% for Qwen3 14B.
Side by side
| Qwen1.5-72B | Qwen3 14B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 30.3 | 35.0 |
| Released | 2024-02-04 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 22 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3 14B leads
Qwen1.5-72B: 31.4 (#272), Qwen3 14B: 36.7 (#191)
| Benchmark | Qwen1.5-72B | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| BigCodeBench Instruct | 33.2% | — |
| LMArena Coding | 1166 | — |
| BigCodeBench Complete | 40.3% | — |
| HumanEval+ | 59.1% | — |
| MBPP+ | 61.6% | — |
Agentic & Tool Use Not comparable
Qwen1.5-72B: —, Qwen3 14B: 29.4 (#78)
| Benchmark | Qwen1.5-72B | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Qwen1.5-72B leads
Qwen1.5-72B: 21.2 (#201), Qwen3 14B: 18.1 (#272)
| Benchmark | Qwen1.5-72B | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1148 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |
Math Qwen3 14B leads
Qwen1.5-72B: 30.7 (#205), Qwen3 14B: 37.0 (#102)
| Benchmark | Qwen1.5-72B | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1164 | — |
Knowledge Qwen3 14B leads
Qwen1.5-72B: 11.5 (#295), Qwen3 14B: 39.2 (#124)
| Benchmark | Qwen1.5-72B | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 28.8% | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1136 | — |
Multilingual Not comparable
Qwen1.5-72B: 33.4 (#248), Qwen3 14B: —
| Benchmark | Qwen1.5-72B | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1135 | — |
| LMArena Chinese | 1186 | — |
| LMArena French | 1158 | — |
| LMArena German | 1084 | — |
| LMArena Japanese | 1061 | — |
| LMArena Korean | 1049 | — |
| LMArena Russian | 1104 | — |
| LMArena Spanish | 1110 | — |
Instruction Following Not comparable
Qwen1.5-72B: 59.6 (#251), Qwen3 14B: —
| Benchmark | Qwen1.5-72B | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1142 | — |
Long Context Qwen3 14B leads
Qwen1.5-72B: 35.0 (#238), Qwen3 14B: 38.0 (#201)
| Benchmark | Qwen1.5-72B | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1157 | — |
Writing & Preference Not comparable
Qwen1.5-72B: 37.4 (#253), Qwen3 14B: —
| Benchmark | Qwen1.5-72B | Qwen3 14B |
|---|---|---|
| LMArena Text | 1166 | — |
| LMArena Creative Writing | 1137 | — |
| LMArena Multi-Turn | 1160 | — |
Frequently asked questions
Is Qwen1.5-72B better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.0 to 30.3 on the Noometry Index.
Is Qwen1.5-72B or Qwen3 14B better for coding?
Qwen3 14B scores higher on coding benchmarks: 36.7 versus 31.4 in the Noometry coding category.
How many benchmarks do Qwen1.5-72B and Qwen3 14B share?
1 benchmark has published results for both models. Qwen1.5-72B has 22 scored results on Noometry and Qwen3 14B has 12.