Model comparison
Qwen3 8B vs Yi-1.5-34B
Qwen3 8B is the stronger model overall, scoring 33.3 to 30.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Qwen3 8B scores higher in 4 categories and Yi-1.5-34B in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 8B leads 36.1 to 14.8.
- The biggest single-benchmark swing is GPQA Diamond: 56.8% for Qwen3 8B and 32% for Yi-1.5-34B.
Side by side
| Qwen3 8B | Yi-1.5-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 33.3 | 30.2 |
| Released | 2025-04 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.18 | — |
| Output $ / M tokens | $0.70 | — |
| Results tracked | 11 | 21 |
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Category by category
Coding Qwen3 8B leads
Qwen3 8B: 33.4 (#245), Yi-1.5-34B: 31.9 (#267)
| Benchmark | Qwen3 8B | Yi-1.5-34B |
|---|---|---|
| SciCode | 22.6% | — |
| BigCodeBench Instruct | — | 33.9% |
| LMArena Coding | — | 1169 |
| BigCodeBench Complete | — | 43.8% |
Agentic & Tool Use Not comparable
Qwen3 8B: 29.9 (#71), Yi-1.5-34B: —
| Benchmark | Qwen3 8B | Yi-1.5-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 42.6% | — |
Reasoning Yi-1.5-34B leads
Qwen3 8B: 16.1 (#299), Yi-1.5-34B: 21.5 (#195)
| Benchmark | Qwen3 8B | Yi-1.5-34B |
|---|---|---|
| CritPt | 0% | — |
| Chess Puzzles | 5% | — |
| LMArena Hard Prompts | — | 1160 |
| DTBench | 59.7% | — |
| LMCA | 8.8% | — |
| Epoch Capabilities Index | 136.17 | — |
Math Qwen3 8B leads
Qwen3 8B: 33.3 (#176), Yi-1.5-34B: 25.3 (#248)
| Benchmark | Qwen3 8B | Yi-1.5-34B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 56.1% | — |
| LMArena Math | — | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Qwen3 8B leads
Qwen3 8B: 36.1 (#164), Yi-1.5-34B: 14.8 (#290)
| Benchmark | Qwen3 8B | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 56.8% | 32% |
| Vectara Hallucination Rate | 4.8% | — |
| LMArena Expert | — | 1144 |
Multilingual Not comparable
Qwen3 8B: —, Yi-1.5-34B: 32.5 (#251)
| Benchmark | Qwen3 8B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | — | 1121 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1155 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Russian | — | 1091 |
| LMArena Spanish | — | 1120 |
Instruction Following Not comparable
Qwen3 8B: —, Yi-1.5-34B: 59.4 (#252)
| Benchmark | Qwen3 8B | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | — | 1139 |
Long Context Qwen3 8B leads
Qwen3 8B: 37.8 (#205), Yi-1.5-34B: 34.6 (#243)
| Benchmark | Qwen3 8B | Yi-1.5-34B |
|---|---|---|
| Fiction.LiveBench | 62.1% | — |
| LMArena Longer Query | — | 1144 |
Writing & Preference Not comparable
Qwen3 8B: —, Yi-1.5-34B: 37.6 (#252)
| Benchmark | Qwen3 8B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | — | 1173 |
| LMArena Creative Writing | — | 1135 |
| LMArena Multi-Turn | — | 1153 |
Frequently asked questions
Is Qwen3 8B better than Yi-1.5-34B?
Qwen3 8B is the stronger model overall, scoring 33.3 to 30.2 on the Noometry Index.
Is Qwen3 8B or Yi-1.5-34B better for coding?
Qwen3 8B scores higher on coding benchmarks: 33.4 versus 31.9 in the Noometry coding category.
How many benchmarks do Qwen3 8B and Yi-1.5-34B share?
1 benchmark has published results for both models. Qwen3 8B has 11 scored results on Noometry and Yi-1.5-34B has 21.