Model comparison
Qwen3 14B vs Yi-34B
Qwen3 14B is the stronger model overall, scoring 35.5 to 27.8 on the Noometry Index.
Last verified . 2 shared benchmarks.
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Qwen3 14B scores higher in 4 categories and Yi-34B in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 7.5.
- The biggest single-benchmark swing is GPQA Diamond: 63.8% for Qwen3 14B and 14.7% for Yi-34B.
Side by side
| Qwen3 14B | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 35.5 | 27.8 |
| Released | 2025-04 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.35 | — |
| Output $ / M tokens | $1.40 | — |
| Results tracked | 12 | 23 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3 14B leads
Qwen3 14B: 37.3 (#195), Yi-34B: 32.3 (#274)
| Benchmark | Qwen3 14B | Yi-34B |
|---|---|---|
| SciCode | 31.6% | — |
| LMArena Coding | — | 1112 |
Agentic & Tool Use Not comparable
Qwen3 14B: 29.6 (#83), Yi-34B: —
| Benchmark | Qwen3 14B | Yi-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41% | — |
Reasoning Yi-34B leads
Qwen3 14B: 18.5 (#280), Yi-34B: 21.2 (#226)
| Benchmark | Qwen3 14B | Yi-34B |
|---|---|---|
| Epoch Capabilities Index | 138.23 | 117.39 |
| Kagi LLM Benchmark | 49.1% | — |
| CritPt | 0% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | — | 1104 |
| DTBench | 64% | — |
| LMCA | 18.2% | — |
| BIG-Bench Hard | — | 71.7% |
Math Qwen3 14B leads
Qwen3 14B: 38.6 (#133), Yi-34B: 21.6 (#282)
| Benchmark | Qwen3 14B | Yi-34B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.4% | — |
| LMArena Math | — | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Qwen3 14B leads
Qwen3 14B: 39.3 (#134), Yi-34B: 7.5 (#309)
| Benchmark | Qwen3 14B | Yi-34B |
|---|---|---|
| GPQA Diamond | 63.8% | 14.7% |
| Vectara Hallucination Rate | 5.4% | — |
| LMArena Expert | — | 1061 |
| MMLU | — | 76.3% |
Multilingual Not comparable
Qwen3 14B: —, Yi-34B: 29.7 (#264)
| Benchmark | Qwen3 14B | 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 14B: —, Yi-34B: 56.2 (#274)
| Benchmark | Qwen3 14B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | — | 1091 |
Long Context Qwen3 14B leads
Qwen3 14B: 38.1 (#204), Yi-34B: 33.2 (#264)
| Benchmark | Qwen3 14B | Yi-34B |
|---|---|---|
| Fiction.LiveBench | 62.5% | — |
| LMArena Longer Query | — | 1094 |
Writing & Preference Not comparable
Qwen3 14B: —, Yi-34B: 34.1 (#273)
| Benchmark | Qwen3 14B | Yi-34B |
|---|---|---|
| LMArena Text | — | 1129 |
| LMArena Creative Writing | — | 1108 |
| LMArena Multi-Turn | — | 1113 |
Frequently asked questions
Is Qwen3 14B better than Yi-34B?
Qwen3 14B is the stronger model overall, scoring 35.5 to 27.8 on the Noometry Index.
Is Qwen3 14B or Yi-34B better for coding?
Qwen3 14B scores higher on coding benchmarks: 37.3 versus 32.3 in the Noometry coding category.
How many benchmarks do Qwen3 14B and Yi-34B share?
2 benchmarks have published results for both models. Qwen3 14B has 12 scored results on Noometry and Yi-34B has 23.