Model comparison
Qwen3-1.7B vs Yi-34B
Yi-34B is the stronger model overall, scoring 27.8 to 26.6 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Qwen3-1.7B scores higher in 1 category and Yi-34B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-1.7B leads 19.6 to 7.5.
- The biggest single-benchmark swing is GPQA Diamond: 38% for Qwen3-1.7B and 14.7% for Yi-34B.
Side by side
| Qwen3-1.7B | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 26.6 | 27.8 |
| Released | 2025-04-29 | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 4 | 23 |
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Category by category
Coding Not comparable
Qwen3-1.7B: —, Yi-34B: 32.3 (#274)
| Benchmark | Qwen3-1.7B | Yi-34B |
|---|---|---|
| LMArena Coding | — | 1112 |
Agentic & Tool Use Not comparable
Qwen3-1.7B: 24.7 (#115), Yi-34B: —
| Benchmark | Qwen3-1.7B | Yi-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.4% | — |
Reasoning Yi-34B leads
Qwen3-1.7B: 19.2 (#267), Yi-34B: 21.2 (#226)
| Benchmark | Qwen3-1.7B | Yi-34B |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | — | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math Yi-34B leads
Qwen3-1.7B: 16.3 (#294), Yi-34B: 21.6 (#282)
| Benchmark | Qwen3-1.7B | Yi-34B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.1% | — |
| LMArena Math | — | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Qwen3-1.7B leads
Qwen3-1.7B: 19.6 (#278), Yi-34B: 7.5 (#309)
| Benchmark | Qwen3-1.7B | Yi-34B |
|---|---|---|
| GPQA Diamond | 38% | 14.7% |
| LMArena Expert | — | 1061 |
| MMLU | — | 76.3% |
Multilingual Not comparable
Qwen3-1.7B: —, Yi-34B: 29.7 (#264)
| Benchmark | Qwen3-1.7B | Yi-34B |
|---|---|---|
| LMArena Non-English | — | 1079 |
| LMArena Chinese | — | 1176 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |
Instruction Following Not comparable
Qwen3-1.7B: —, Yi-34B: 56.2 (#274)
| Benchmark | Qwen3-1.7B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | — | 1091 |
Long Context Not comparable
Qwen3-1.7B: —, Yi-34B: 33.2 (#264)
| Benchmark | Qwen3-1.7B | Yi-34B |
|---|---|---|
| LMArena Longer Query | — | 1094 |
Writing & Preference Not comparable
Qwen3-1.7B: —, Yi-34B: 34.1 (#273)
| Benchmark | Qwen3-1.7B | Yi-34B |
|---|---|---|
| LMArena Text | — | 1129 |
| LMArena Creative Writing | — | 1108 |
| LMArena Multi-Turn | — | 1113 |
Frequently asked questions
Is Qwen3-1.7B better than Yi-34B?
Yi-34B is the stronger model overall, scoring 27.8 to 26.6 on the Noometry Index.
How many benchmarks do Qwen3-1.7B and Yi-34B share?
1 benchmark has published results for both models. Qwen3-1.7B has 4 scored results on Noometry and Yi-34B has 23.