Model comparison
Deepseek Coder v2 vs OLMo 2 Furious 13B
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 29.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- The widest gap is in knowledge, where Deepseek Coder v2 leads 32.3 to 18.3.
Side by side
| Deepseek Coder v2 | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 35.9 | 29.7 |
| Released | 2024-06-17 | 2024-12-31 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 24 | 12 |
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Category by category
Coding Deepseek Coder v2 leads
Deepseek Coder v2: 38.1 (#183), OLMo 2 Furious 13B: 28.6 (#313)
| Benchmark | Deepseek Coder v2 | OLMo 2 Furious 13B |
|---|---|---|
| BigCodeBench Instruct | 48.2% | — |
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning Deepseek Coder v2 leads
Deepseek Coder v2: 23.6 (#176), OLMo 2 Furious 13B: 15.5 (#314)
| Benchmark | Deepseek Coder v2 | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1207 | — |
| LiveBench Data Analysis | — | 20.6% |
| LiveBench | — | 22.1% |
| WinoGrande | 83.7% | — |
Math Deepseek Coder v2 leads
Deepseek Coder v2: 34.9 (#190), OLMo 2 Furious 13B: 23.1 (#273)
| Benchmark | Deepseek Coder v2 | OLMo 2 Furious 13B |
|---|---|---|
| Omni-MATH | — | 15.6% |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |
Knowledge Deepseek Coder v2 leads
Deepseek Coder v2: 32.3 (#212), OLMo 2 Furious 13B: 18.3 (#283)
| Benchmark | Deepseek Coder v2 | OLMo 2 Furious 13B |
|---|---|---|
| MMLU-Pro | — | 31% |
| GPQA (HELM) | — | 31.6% |
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), OLMo 2 Furious 13B: —
| Benchmark | Deepseek Coder v2 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Too close to call
Deepseek Coder v2: 61.7 (#242), OLMo 2 Furious 13B: 60.9 (#248)
| Benchmark | Deepseek Coder v2 | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Instruction Following | — | 60.6% |
| IFEval | — | 73% |
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#224), OLMo 2 Furious 13B: —
| Benchmark | Deepseek Coder v2 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference OLMo 2 Furious 13B leads
Deepseek Coder v2: 38.2 (#253), OLMo 2 Furious 13B: 42.9 (#230)
| Benchmark | Deepseek Coder v2 | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| WildBench | — | 68.9% |
| LMArena Multi-Turn | 1177 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is Deepseek Coder v2 better than OLMo 2 Furious 13B?
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 29.7 on the Noometry Index.
Is Deepseek Coder v2 or OLMo 2 Furious 13B better for coding?
Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 28.6 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and OLMo 2 Furious 13B share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and OLMo 2 Furious 13B has 12.