Model comparison
Qwen1.5 4b Chat vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.5 to 28.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 26.7.
Side by side
| Qwen1.5 4b Chat | Qwen3 14B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 28.8 | 35.5 |
| Released | — | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 13 | 12 |
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Category by category
Coding Qwen3 14B leads
Qwen1.5 4b Chat: 29.1 (#308), Qwen3 14B: 37.3 (#195)
| Benchmark | Qwen1.5 4b Chat | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 999 | — |
Agentic & Tool Use Not comparable
Qwen1.5 4b Chat: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Qwen1.5 4b Chat | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Too close to call
Qwen1.5 4b Chat: 18.5 (#279), Qwen3 14B: 18.5 (#280)
| Benchmark | Qwen1.5 4b Chat | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 976 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |
Math Qwen3 14B leads
Qwen1.5 4b Chat: 30.4 (#234), Qwen3 14B: 38.6 (#133)
| Benchmark | Qwen1.5 4b Chat | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1026 | — |
Knowledge Qwen3 14B leads
Qwen1.5 4b Chat: 26.7 (#255), Qwen3 14B: 39.3 (#134)
| Benchmark | Qwen1.5 4b Chat | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 980 | — |
Multilingual Not comparable
Qwen1.5 4b Chat: 24.1 (#290), Qwen3 14B: —
| Benchmark | Qwen1.5 4b Chat | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 979 | — |
| LMArena Chinese | 1024 | — |
| LMArena German | 902 | — |
| LMArena Russian | 952 | — |
Instruction Following Not comparable
Qwen1.5 4b Chat: 49.0 (#300), Qwen3 14B: —
| Benchmark | Qwen1.5 4b Chat | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 978 | — |
Long Context Qwen3 14B leads
Qwen1.5 4b Chat: 30.1 (#290), Qwen3 14B: 38.1 (#204)
| Benchmark | Qwen1.5 4b Chat | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 988 | — |
Writing & Preference Not comparable
Qwen1.5 4b Chat: 23.8 (#309), Qwen3 14B: —
| Benchmark | Qwen1.5 4b Chat | Qwen3 14B |
|---|---|---|
| LMArena Text | 997 | — |
| LMArena Creative Writing | 969 | — |
| LMArena Multi-Turn | 977 | — |
Frequently asked questions
Is Qwen1.5 4b Chat better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.5 to 28.8 on the Noometry Index.
Is Qwen1.5 4b Chat or Qwen3 14B better for coding?
Qwen3 14B scores higher on coding benchmarks: 37.3 versus 29.1 in the Noometry coding category.
How many benchmarks do Qwen1.5 4b Chat and Qwen3 14B share?
0 benchmarks have published results for both models. Qwen1.5 4b Chat has 13 scored results on Noometry and Qwen3 14B has 12.