Model comparison
Qwen1.5 4b Chat vs Qwen2.5 7B Instruct
Qwen1.5 4b Chat and Qwen2.5 7B Instruct score almost the same on the Noometry Index (28.8 vs 29.0), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in writing & preference, where Qwen2.5 7B Instruct leads 48.8 to 23.8.
Side by side
| Qwen1.5 4b Chat | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 28.8 | 29.0 |
| Released | — | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 13 | 15 |
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Category by category
Coding Qwen2.5 7B Instruct leads
Qwen1.5 4b Chat: 29.1 (#308), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Qwen1.5 4b Chat | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 999 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Qwen1.5 4b Chat: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Qwen1.5 4b Chat | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Qwen1.5 4b Chat leads
Qwen1.5 4b Chat: 18.5 (#279), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Qwen1.5 4b Chat | Qwen2.5 7B Instruct |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 976 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.51 |
Math Qwen1.5 4b Chat leads
Qwen1.5 4b Chat: 30.4 (#234), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Qwen1.5 4b Chat | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1026 | — |
Knowledge Qwen1.5 4b Chat leads
Qwen1.5 4b Chat: 26.7 (#255), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Qwen1.5 4b Chat | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 980 | — |
| MMLU | — | 72.9% |
Multilingual Not comparable
Qwen1.5 4b Chat: 24.1 (#290), Qwen2.5 7B Instruct: —
| Benchmark | Qwen1.5 4b Chat | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 979 | — |
| LMArena Chinese | 1024 | — |
| LMArena German | 902 | — |
| LMArena Russian | 952 | — |
Instruction Following Qwen2.5 7B Instruct leads
Qwen1.5 4b Chat: 49.0 (#300), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Qwen1.5 4b Chat | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 978 | — |
Long Context Not comparable
Qwen1.5 4b Chat: 30.1 (#290), Qwen2.5 7B Instruct: —
| Benchmark | Qwen1.5 4b Chat | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 988 | — |
Writing & Preference Qwen2.5 7B Instruct leads
Qwen1.5 4b Chat: 23.8 (#309), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Qwen1.5 4b Chat | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 997 | — |
| LMArena Creative Writing | 969 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 977 | — |
Frequently asked questions
Is Qwen1.5 4b Chat better than Qwen2.5 7B Instruct?
Qwen1.5 4b Chat and Qwen2.5 7B Instruct score almost the same on the Noometry Index (28.8 vs 29.0), so choose on price, context window or the category you care about most.
Is Qwen1.5 4b Chat or Qwen2.5 7B Instruct better for coding?
Qwen2.5 7B Instruct scores higher on coding benchmarks: 36.5 versus 29.1 in the Noometry coding category.
How many benchmarks do Qwen1.5 4b Chat and Qwen2.5 7B Instruct share?
0 benchmarks have published results for both models. Qwen1.5 4b Chat has 13 scored results on Noometry and Qwen2.5 7B Instruct has 15.