Model comparison
Qwen3 Max vs Yi-1.5-34B
Qwen3 Max is the stronger model overall, scoring 43.7 to 30.6 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Qwen3 Max scores higher in 8 categories and Yi-1.5-34B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 14.8.
- The biggest single-benchmark swing is MATH Level 5: 97.1% for Qwen3 Max and 25.5% for Yi-1.5-34B.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| Qwen3 Max | Yi-1.5-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 43.7 | 30.6 |
| Released | 2025-09-23 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 262K | — |
| Max output | 66K | — |
| Input $ / M tokens | $1.20 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 33 | 21 |
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Category by category
Coding Qwen3 Max leads
Qwen3 Max: 43.0 (#93), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Qwen3 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1456 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 370.45 | — |
Agentic & Tool Use Not comparable
Qwen3 Max: —, Yi-1.5-34B: —
| Benchmark | Qwen3 Max | Yi-1.5-34B |
|---|---|---|
| Vending-Bench 2 | 71.56 | — |
Reasoning Too close to call
Qwen3 Max: 22.6 (#190), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Qwen3 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1160 |
| Kagi LLM Benchmark | 72.5% | — |
| NYT Connections (extended) | 30.1% | — |
| Chess Puzzles | 4% | — |
| Mystery Game Puzzles | 5% | — |
| DTBench | 82.1% | — |
| LMCA | 28.3% | — |
| Epoch Capabilities Index | 142.38 | — |
Math Qwen3 Max leads
Qwen3 Max: 38.7 (#131), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Qwen3 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1446 | 1182 |
| MATH Level 5 | 97.1% | 25.5% |
| FrontierMath (Tiers 1-3) | 18.9% | — |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
Knowledge Qwen3 Max leads
Qwen3 Max: 48.1 (#78), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Qwen3 Max | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 72.6% | 32% |
| LMArena Expert | 1455 | 1144 |
| SimpleQA Verified | 48.7% | — |
Multilingual Qwen3 Max leads
Qwen3 Max: 53.7 (#62), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Qwen3 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1429 | 1121 |
| LMArena Chinese | 1478 | 1213 |
| LMArena French | 1449 | 1156 |
| LMArena German | 1463 | 1111 |
| LMArena Japanese | 1397 | 1021 |
| LMArena Korean | 1399 | 1005 |
| LMArena Russian | 1428 | 1091 |
| LMArena Spanish | 1462 | 1121 |
Instruction Following Qwen3 Max leads
Qwen3 Max: 74.8 (#87), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Qwen3 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1419 | 1139 |
Long Context Qwen3 Max leads
Qwen3 Max: 41.6 (#134), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Qwen3 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1438 | 1143 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 14.5% | — |
Writing & Preference Qwen3 Max leads
Qwen3 Max: 62.4 (#76), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Qwen3 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1439 | 1173 |
| LMArena Creative Writing | 1402 | 1135 |
| LMArena Multi-Turn | 1446 | 1153 |
Frequently asked questions
Is Qwen3 Max better than Yi-1.5-34B?
Qwen3 Max is the stronger model overall, scoring 43.7 to 30.6 on the Noometry Index.
Is Qwen3 Max or Yi-1.5-34B better for coding?
Qwen3 Max scores higher on coding benchmarks: 43.0 versus 32.4 in the Noometry coding category.
How many benchmarks do Qwen3 Max and Yi-1.5-34B share?
19 benchmarks have published results for both models. Qwen3 Max has 33 scored results on Noometry and Yi-1.5-34B has 21.