Model comparison
Qwen-14B vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.5 to 31.4 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Qwen-14B scores higher in 1 category and Qwen3 14B in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 14B leads 38.6 to 31.2.
Side by side
| Qwen-14B | Qwen3 14B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 31.4 | 35.5 |
| Released | 2023-09-24 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 18 | 12 |
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Category by category
Coding Qwen3 14B leads
Qwen-14B: 31.2 (#288), Qwen3 14B: 37.3 (#195)
| Benchmark | Qwen-14B | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 1071 | — |
Agentic & Tool Use Not comparable
Qwen-14B: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Qwen-14B | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Qwen-14B leads
Qwen-14B: 19.6 (#257), Qwen3 14B: 18.5 (#280)
| Benchmark | Qwen-14B | Qwen3 14B |
|---|---|---|
| Epoch Capabilities Index | 113.03 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1027 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| BIG-Bench Hard | 55% | — |
| LAMBADA | 71.1% | — |
| PIQA | 79.9% | — |
Math Qwen3 14B leads
Qwen-14B: 31.2 (#227), Qwen3 14B: 38.6 (#133)
| Benchmark | Qwen-14B | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1068 | — |
| GSM8K | 61.3% | — |
Knowledge Not comparable
Qwen-14B: —, Qwen3 14B: 39.3 (#134)
| Benchmark | Qwen-14B | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| ARC (AI2) Challenge | 84.4% | — |
| BoolQ | 86.2% | — |
| MMLU | 66.3% | — |
Multilingual Not comparable
Qwen-14B: 27.5 (#275), Qwen3 14B: —
| Benchmark | Qwen-14B | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1041 | — |
| LMArena Chinese | 1077 | — |
Instruction Following Not comparable
Qwen-14B: 52.4 (#289), Qwen3 14B: —
| Benchmark | Qwen-14B | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1031 | — |
Long Context Qwen3 14B leads
Qwen-14B: 31.3 (#280), Qwen3 14B: 38.1 (#204)
| Benchmark | Qwen-14B | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1028 | — |
Writing & Preference Not comparable
Qwen-14B: 27.6 (#299), Qwen3 14B: —
| Benchmark | Qwen-14B | Qwen3 14B |
|---|---|---|
| LMArena Text | 1051 | — |
| LMArena Creative Writing | 1028 | — |
| LMArena Multi-Turn | 1022 | — |
Frequently asked questions
Is Qwen-14B better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.5 to 31.4 on the Noometry Index.
Is Qwen-14B or Qwen3 14B better for coding?
Qwen3 14B scores higher on coding benchmarks: 37.3 versus 31.2 in the Noometry coding category.
How many benchmarks do Qwen-14B and Qwen3 14B share?
1 benchmark has published results for both models. Qwen-14B has 18 scored results on Noometry and Qwen3 14B has 12.