Model comparison
Qwen3-4B vs Yi-Large
Qwen3-4B has enough public results to be ranked (#264); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- Qwen3-4B has downloadable open weights; the other is API-only.
Side by side
| Qwen3-4B | Yi-Large | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 31.9 | 38.1 |
| Released | 2025-04-29 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 6 | 3 |
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Category by category
Coding Not comparable
Qwen3-4B: —, Yi-Large: 36.7 (#203)
| Benchmark | Qwen3-4B | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | — | 37.7% |
| BigCodeBench Complete | — | 47.2% |
Agentic & Tool Use Not comparable
Qwen3-4B: 27.6 (#100), Yi-Large: —
| Benchmark | Qwen3-4B | Yi-Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | 35.7% | — |
Reasoning Not comparable
Qwen3-4B: 19.2 (#268), Yi-Large: —
| Benchmark | Qwen3-4B | Yi-Large |
|---|---|---|
| Chess Puzzles | 4% | — |
Math Not comparable
Qwen3-4B: 29.7 (#240), Yi-Large: —
| Benchmark | Qwen3-4B | Yi-Large |
|---|---|---|
| MathArena Final-Answer Competitions | 38.5% | — |
| OTIS Mock AIME 2024-2025 | 52.2% | — |
Knowledge Not comparable
Qwen3-4B: 33.0 (#208), Yi-Large: —
| Benchmark | Qwen3-4B | Yi-Large |
|---|---|---|
| GPQA Diamond | 52.3% | — |
| Vectara Hallucination Rate | 5.7% | — |
| MMLU | — | 79.3% |
Frequently asked questions
Is Qwen3-4B better than Yi-Large?
Qwen3-4B has enough public results to be ranked (#264); Yi-Large does not yet, so treat this comparison as directional.
How many benchmarks do Qwen3-4B and Yi-Large share?
0 benchmarks have published results for both models. Qwen3-4B has 6 scored results on Noometry and Yi-Large has 3.