Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Yi-1.5-34B
Yi-1.5-34B has enough public results to be ranked (#289); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
DeepSeekSummary
- They share 2 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Yi-1.5-34B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 40.4 to 32.4.
- The biggest single-benchmark swing is BigCodeBench Complete: 59.4% for DeepSeek-V2 (MoE-236B, May 2024) and 43.8% for Yi-1.5-34B.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B | |
|---|---|---|
| Provider | DeepSeek | 01.AI |
| Noometry Index | 40.3 | 30.6 |
| Released | 2024-05-07 | 2024-05-13 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Yi-1.5-34B: 32.4 (#272)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 33.9% |
| BigCodeBench Complete | 59.4% | 43.8% |
| LMArena Coding | — | 1169 |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Yi-1.5-34B: 22.5 (#191)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | — | 1160 |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.77 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Yi-1.5-34B: 27.5 (#249)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Math | — | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Yi-1.5-34B: 14.8 (#295)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | — | 32% |
| LMArena Expert | — | 1144 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Yi-1.5-34B: 32.3 (#256)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | — | 1121 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1156 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Russian | — | 1091 |
| LMArena Spanish | — | 1121 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Yi-1.5-34B: 59.2 (#257)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | — | 1139 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Yi-1.5-34B: 34.6 (#248)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | — | 1143 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Yi-1.5-34B: 37.4 (#257)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Text | — | 1173 |
| LMArena Creative Writing | — | 1135 |
| LMArena Multi-Turn | — | 1153 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Yi-1.5-34B?
Yi-1.5-34B has enough public results to be ranked (#289); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Yi-1.5-34B better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 32.4 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Yi-1.5-34B share?
2 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Yi-1.5-34B has 21.