Model comparison
Qwen3-Next 80B-A3B Instruct vs Yi-1.5-34B
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 30.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Qwen3-Next 80B-A3B Instruct 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-Next 80B-A3B Instruct leads 41.8 to 14.8.
Side by side
| Qwen3-Next 80B-A3B Instruct | Yi-1.5-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 43.0 | 30.6 |
| Released | 2025-09 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $2 | — |
| Results tracked | 25 | 21 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 42.5 (#98), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1440 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 31.1 (#81), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1428 | 1160 |
| Kagi LLM Benchmark | 66.7% | — |
Math Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 38.8 (#126), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1440 | 1182 |
| Omni-MATH | 46.7% | — |
| MATH Level 5 | — | 25.5% |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 41.8 (#106), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1417 | 1144 |
| GPQA Diamond | — | 32% |
| MMLU-Pro | 78.6% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 63% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 52.1 (#93), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1407 | 1121 |
| LMArena Chinese | 1460 | 1213 |
| LMArena French | 1413 | 1156 |
| LMArena German | 1417 | 1111 |
| LMArena Japanese | 1395 | 1021 |
| LMArena Korean | 1364 | 1005 |
| LMArena Russian | 1404 | 1091 |
| LMArena Spanish | 1435 | 1121 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 70.8 (#159), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1389 | 1139 |
| IFEval | 81% | — |
Long Context Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 37.0 (#223), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1403 | 1143 |
| Fiction.LiveBench | 55.6% | — |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Qwen3-Next 80B-A3B Instruct: 58.0 (#121), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1417 | 1173 |
| LMArena Creative Writing | 1334 | 1135 |
| LMArena Multi-Turn | 1416 | 1153 |
| WildBench | 80.7% | — |
Frequently asked questions
Is Qwen3-Next 80B-A3B Instruct better than Yi-1.5-34B?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 30.6 on the Noometry Index.
Is Qwen3-Next 80B-A3B Instruct or Yi-1.5-34B better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 32.4 in the Noometry coding category.
How many benchmarks do Qwen3-Next 80B-A3B Instruct and Yi-1.5-34B share?
17 benchmarks have published results for both models. Qwen3-Next 80B-A3B Instruct has 25 scored results on Noometry and Yi-1.5-34B has 21.