Model comparison
DeepSeek LLM 67B vs OLMo 2 Furious 13B
OLMo 2 Furious 13B is the stronger model overall, scoring 29.2 to 24.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- The widest gap is in math, where OLMo 2 Furious 13B leads 21.3 to 8.1.
Side by side
| DeepSeek LLM 67B | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 24.8 | 29.2 |
| Released | 2023-11-29 | 2024-12-31 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 12 |
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Category by category
Coding DeepSeek LLM 67B leads
DeepSeek LLM 67B: 31.3 (#273), OLMo 2 Furious 13B: 28.1 (#309)
| Benchmark | DeepSeek LLM 67B | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1096 | — |
Reasoning DeepSeek LLM 67B leads
DeepSeek LLM 67B: 15.9 (#300), OLMo 2 Furious 13B: 14.8 (#312)
| Benchmark | DeepSeek LLM 67B | OLMo 2 Furious 13B |
|---|---|---|
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1070 | — |
| LiveBench Data Analysis | — | 20.6% |
| Epoch Capabilities Index | 110.54 | — |
| LiveBench | — | 22.1% |
Math OLMo 2 Furious 13B leads
DeepSeek LLM 67B: 8.1 (#318), OLMo 2 Furious 13B: 21.3 (#270)
| Benchmark | DeepSeek LLM 67B | OLMo 2 Furious 13B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| Omni-MATH | — | 15.6% |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
Knowledge OLMo 2 Furious 13B leads
DeepSeek LLM 67B: 7.1 (#308), OLMo 2 Furious 13B: 18.0 (#278)
| Benchmark | DeepSeek LLM 67B | OLMo 2 Furious 13B |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| MMLU-Pro | — | 31% |
| GPQA (HELM) | — | 31.6% |
Multilingual Not comparable
DeepSeek LLM 67B: 29.5 (#262), OLMo 2 Furious 13B: —
| Benchmark | DeepSeek LLM 67B | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |
Instruction Following OLMo 2 Furious 13B leads
DeepSeek LLM 67B: 55.7 (#272), OLMo 2 Furious 13B: 61.1 (#243)
| Benchmark | DeepSeek LLM 67B | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Instruction Following | — | 60.6% |
| IFEval | — | 73% |
| LMArena Instruction Following | 1079 | — |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#260), OLMo 2 Furious 13B: —
| Benchmark | DeepSeek LLM 67B | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference OLMo 2 Furious 13B leads
DeepSeek LLM 67B: 31.8 (#277), OLMo 2 Furious 13B: 43.0 (#226)
| Benchmark | DeepSeek LLM 67B | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| WildBench | — | 68.9% |
| LMArena Multi-Turn | 1082 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is DeepSeek LLM 67B better than OLMo 2 Furious 13B?
OLMo 2 Furious 13B is the stronger model overall, scoring 29.2 to 24.8 on the Noometry Index.
Is DeepSeek LLM 67B or OLMo 2 Furious 13B better for coding?
DeepSeek LLM 67B scores higher on coding benchmarks: 31.3 versus 28.1 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and OLMo 2 Furious 13B share?
0 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and OLMo 2 Furious 13B has 12.