Model comparison
Qwen2.5 7B Instruct vs Yi-34B
Qwen2.5 7B Instruct is the stronger model overall, scoring 28.6 to 27.4 on the Noometry Index.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Qwen2.5 7B Instruct scores higher in 4 categories and Yi-34B in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5 7B Instruct leads 48.8 to 34.3.
- The biggest single-benchmark swing is GPQA Diamond: 35.5% for Qwen2.5 7B Instruct and 14.7% for Yi-34B.
Side by side
| Qwen2.5 7B Instruct | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 28.6 | 27.4 |
| Released | 2024-09 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.17 | — |
| Output $ / M tokens | $0.70 | — |
| Results tracked | 15 | 23 |
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Category by category
Coding Qwen2.5 7B Instruct leads
Qwen2.5 7B Instruct: 35.9 (#204), Yi-34B: 31.8 (#269)
| Benchmark | Qwen2.5 7B Instruct | Yi-34B |
|---|---|---|
| BigCodeBench Instruct | 37.6% | — |
| LMArena Coding | — | 1112 |
| BigCodeBench Complete | 46.1% | — |
Agentic & Tool Use Not comparable
Qwen2.5 7B Instruct: 23.5 (#117), Yi-34B: —
| Benchmark | Qwen2.5 7B Instruct | Yi-34B |
|---|---|---|
| BALROG | 7.8% | — |
Reasoning Yi-34B leads
Qwen2.5 7B Instruct: 14.3 (#317), Yi-34B: 20.3 (#222)
| Benchmark | Qwen2.5 7B Instruct | Yi-34B |
|---|---|---|
| Epoch Capabilities Index | 118.44 | 117.28 |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | — | 1104 |
| DTBench | 47.7% | — |
| LMCA | 6.4% | — |
| BIG-Bench Hard | — | 71.7% |
Math Yi-34B leads
Qwen2.5 7B Instruct: 11.8 (#300), Yi-34B: 19.8 (#277)
| Benchmark | Qwen2.5 7B Instruct | Yi-34B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.5% | — |
| Omni-MATH | 29.4% | — |
| LMArena Math | — | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Qwen2.5 7B Instruct leads
Qwen2.5 7B Instruct: 17.0 (#281), Yi-34B: 7.5 (#304)
| Benchmark | Qwen2.5 7B Instruct | Yi-34B |
|---|---|---|
| GPQA Diamond | 35.5% | 14.7% |
| MMLU | 72.9% | 76.3% |
| MMLU-Pro | 53.9% | — |
| GPQA (HELM) | 34.1% | — |
| LMArena Expert | — | 1061 |
Multilingual Not comparable
Qwen2.5 7B Instruct: —, Yi-34B: 29.9 (#259)
| Benchmark | Qwen2.5 7B Instruct | Yi-34B |
|---|---|---|
| LMArena Non-English | — | 1079 |
| LMArena Chinese | — | 1175 |
| LMArena French | — | 1080 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |
Instruction Following Qwen2.5 7B Instruct leads
Qwen2.5 7B Instruct: 63.4 (#226), Yi-34B: 56.4 (#269)
| Benchmark | Qwen2.5 7B Instruct | Yi-34B |
|---|---|---|
| IFEval | 74.1% | — |
| LMArena Instruction Following | — | 1091 |
Long Context Not comparable
Qwen2.5 7B Instruct: —, Yi-34B: 33.2 (#259)
| Benchmark | Qwen2.5 7B Instruct | Yi-34B |
|---|---|---|
| LMArena Longer Query | — | 1094 |
Writing & Preference Qwen2.5 7B Instruct leads
Qwen2.5 7B Instruct: 48.8 (#194), Yi-34B: 34.3 (#268)
| Benchmark | Qwen2.5 7B Instruct | Yi-34B |
|---|---|---|
| LMArena Text | — | 1129 |
| LMArena Creative Writing | — | 1108 |
| WildBench | 73.1% | — |
| LMArena Multi-Turn | — | 1113 |
Frequently asked questions
Is Qwen2.5 7B Instruct better than Yi-34B?
Qwen2.5 7B Instruct is the stronger model overall, scoring 28.6 to 27.4 on the Noometry Index.
Is Qwen2.5 7B Instruct or Yi-34B better for coding?
Qwen2.5 7B Instruct scores higher on coding benchmarks: 35.9 versus 31.8 in the Noometry coding category.
How many benchmarks do Qwen2.5 7B Instruct and Yi-34B share?
3 benchmarks have published results for both models. Qwen2.5 7B Instruct has 15 scored results on Noometry and Yi-34B has 23.