Model comparison
Claude 2.1 vs Yi-34B
Yi-34B is the stronger model overall, scoring 27.8 to 25.2 on the Noometry Index.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Claude 2.1 scores higher in 2 categories and Yi-34B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Yi-34B leads 21.6 to 10.2.
- The biggest single-benchmark swing is GPQA Diamond: 33% for Claude 2.1 and 14.7% for Yi-34B.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| Claude 2.1 | Yi-34B | |
|---|---|---|
| Provider | Anthropic | 01.AI |
| Noometry Index | 25.2 | 27.8 |
| Released | 2023-11-21 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 23 |
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Category by category
Coding Yi-34B leads
Claude 2.1: 26.2 (#327), Yi-34B: 32.3 (#274)
| Benchmark | Claude 2.1 | Yi-34B |
|---|---|---|
| WeirdML | 7.1% | — |
| LMArena Coding | — | 1112 |
Reasoning Too close to call
Claude 2.1: 21.4 (#221), Yi-34B: 21.2 (#226)
| Benchmark | Claude 2.1 | Yi-34B |
|---|---|---|
| Epoch Capabilities Index | 119.27 | 117.39 |
| LMArena Hard Prompts | — | 1104 |
| DTBench | 51% | — |
| BIG-Bench Hard | — | 71.7% |
| ForecastBench | 54.2 | — |
Math Yi-34B leads
Claude 2.1: 10.2 (#315), Yi-34B: 21.6 (#282)
| Benchmark | Claude 2.1 | Yi-34B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| LMArena Math | — | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Claude 2.1 leads
Claude 2.1: 15.4 (#292), Yi-34B: 7.5 (#309)
| Benchmark | Claude 2.1 | Yi-34B |
|---|---|---|
| GPQA Diamond | 33% | 14.7% |
| MMLU | 73.5% | 76.3% |
| LMArena Expert | — | 1061 |
Multilingual Not comparable
Claude 2.1: —, Yi-34B: 29.7 (#264)
| Benchmark | Claude 2.1 | 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
Claude 2.1: —, Yi-34B: 56.2 (#274)
| Benchmark | Claude 2.1 | Yi-34B |
|---|---|---|
| LMArena Instruction Following | — | 1091 |
Long Context Not comparable
Claude 2.1: —, Yi-34B: 33.2 (#264)
| Benchmark | Claude 2.1 | Yi-34B |
|---|---|---|
| LMArena Longer Query | — | 1094 |
Writing & Preference Not comparable
Claude 2.1: —, Yi-34B: 34.1 (#273)
| Benchmark | Claude 2.1 | Yi-34B |
|---|---|---|
| LMArena Text | — | 1129 |
| LMArena Creative Writing | — | 1108 |
| LMArena Multi-Turn | — | 1113 |
Frequently asked questions
Is Claude 2.1 better than Yi-34B?
Yi-34B is the stronger model overall, scoring 27.8 to 25.2 on the Noometry Index.
Is Claude 2.1 or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 26.2 in the Noometry coding category.
How many benchmarks do Claude 2.1 and Yi-34B share?
3 benchmarks have published results for both models. Claude 2.1 has 7 scored results on Noometry and Yi-34B has 23.