Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs OLMo 2 Furious 13B
OLMo 2 Furious 13B has enough public results to be ranked (#304); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 40.4 to 28.6.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 40.3 | 29.7 |
| Released | 2024-05-07 | 2024-12-31 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 12 |
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Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), OLMo 2 Furious 13B: 28.6 (#313)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | OLMo 2 Furious 13B |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| LiveBench Coding | — | 10.4% |
| BigCodeBench Complete | 59.4% | — |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, OLMo 2 Furious 13B: 15.5 (#314)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Reasoning | — | 16.3% |
| LiveBench Data Analysis | — | 20.6% |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.77 | — |
| HellaSwag | 87.1% | — |
| LiveBench | — | 22.1% |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, OLMo 2 Furious 13B: 23.1 (#273)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | OLMo 2 Furious 13B |
|---|---|---|
| Omni-MATH | — | 15.6% |
| LiveBench Math | — | 13.6% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, OLMo 2 Furious 13B: 18.3 (#283)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | OLMo 2 Furious 13B |
|---|---|---|
| MMLU-Pro | — | 31% |
| GPQA (HELM) | — | 31.6% |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, OLMo 2 Furious 13B: 60.9 (#248)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Instruction Following | — | 60.6% |
| IFEval | — | 73% |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, OLMo 2 Furious 13B: 42.9 (#230)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | OLMo 2 Furious 13B |
|---|---|---|
| WildBench | — | 68.9% |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than OLMo 2 Furious 13B?
OLMo 2 Furious 13B has enough public results to be ranked (#304); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or OLMo 2 Furious 13B better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 28.6 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and OLMo 2 Furious 13B share?
0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and OLMo 2 Furious 13B has 12.