Model comparison
Qwen3.5 122B-A10B vs Yi-1.5-34B
Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 30.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Qwen3.5 122B-A10B scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 122B-A10B leads 38.8 to 14.8.
Side by side
| Qwen3.5 122B-A10B | Yi-1.5-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 42.1 | 30.6 |
| Released | 2026-02-23 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $3.20 | — |
| Results tracked | 27 | 21 |
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Category by category
Coding Qwen3.5 122B-A10B leads
Qwen3.5 122B-A10B: 39.1 (#162), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Qwen3.5 122B-A10B | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1436 | 1169 |
| LMArena WebDev | 1360 | — |
| SciCode | 35.6% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Reasoning Qwen3.5 122B-A10B leads
Qwen3.5 122B-A10B: 27.2 (#123), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Qwen3.5 122B-A10B | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1421 | 1160 |
| NYT Connections (extended) | 51.7% | — |
| CritPt | 0.9% | — |
| Thematic Generalization | 51.2% | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 84.3% | — |
| LMCA | 32.2% | — |
Math Qwen3.5 122B-A10B leads
Qwen3.5 122B-A10B: 39.1 (#112), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Qwen3.5 122B-A10B | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1432 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Qwen3.5 122B-A10B leads
Qwen3.5 122B-A10B: 38.8 (#142), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Qwen3.5 122B-A10B | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1432 | 1144 |
| GPQA Diamond | — | 32% |
| Vectara Hallucination Rate | 11.2% | — |
Multimodal Not comparable
Qwen3.5 122B-A10B: 39.6 (#57), Yi-1.5-34B: —
| Benchmark | Qwen3.5 122B-A10B | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1245 | — |
Multilingual Qwen3.5 122B-A10B leads
Qwen3.5 122B-A10B: 51.6 (#107), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Qwen3.5 122B-A10B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1400 | 1121 |
| LMArena Chinese | 1462 | 1213 |
| LMArena French | 1442 | 1156 |
| LMArena German | 1426 | 1111 |
| LMArena Japanese | 1367 | 1021 |
| LMArena Korean | 1352 | 1005 |
| LMArena Russian | 1400 | 1091 |
| LMArena Spanish | 1424 | 1121 |
Instruction Following Qwen3.5 122B-A10B leads
Qwen3.5 122B-A10B: 73.8 (#115), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Qwen3.5 122B-A10B | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1399 | 1139 |
Long Context Qwen3.5 122B-A10B leads
Qwen3.5 122B-A10B: 43.0 (#109), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Qwen3.5 122B-A10B | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1410 | 1143 |
Writing & Preference Qwen3.5 122B-A10B leads
Qwen3.5 122B-A10B: 60.0 (#105), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Qwen3.5 122B-A10B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1417 | 1173 |
| LMArena Creative Writing | 1368 | 1135 |
| LMArena Multi-Turn | 1416 | 1153 |
Frequently asked questions
Is Qwen3.5 122B-A10B better than Yi-1.5-34B?
Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 30.6 on the Noometry Index.
Is Qwen3.5 122B-A10B or Yi-1.5-34B better for coding?
Qwen3.5 122B-A10B scores higher on coding benchmarks: 39.1 versus 32.4 in the Noometry coding category.
How many benchmarks do Qwen3.5 122B-A10B and Yi-1.5-34B share?
17 benchmarks have published results for both models. Qwen3.5 122B-A10B has 27 scored results on Noometry and Yi-1.5-34B has 21.