Model comparison
Llama 3-8B vs OLMo 2 Furious 13B
OLMo 2 Furious 13B is the stronger model overall, scoring 29.7 to 25.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Allen Institute for AI (Ai2)Summary
- The widest gap is in math, where OLMo 2 Furious 13B leads 23.1 to 8.8.
Side by side
| Llama 3-8B | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 25.5 | 29.7 |
| Released | 2024-04-18 | 2024-12-31 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 12 |
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Category by category
Coding Llama 3-8B leads
Llama 3-8B: 31.0 (#289), OLMo 2 Furious 13B: 28.6 (#313)
| Benchmark | Llama 3-8B | OLMo 2 Furious 13B |
|---|---|---|
| BigCodeBench Instruct | 31.9% | — |
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1152 | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning OLMo 2 Furious 13B leads
Llama 3-8B: 14.3 (#326), OLMo 2 Furious 13B: 15.5 (#314)
| Benchmark | Llama 3-8B | OLMo 2 Furious 13B |
|---|---|---|
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1133 | — |
| DTBench | 43.9% | — |
| LiveBench Data Analysis | — | 20.6% |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| LiveBench | — | 22.1% |
| WinoGrande | 75.7% | — |
Math OLMo 2 Furious 13B leads
Llama 3-8B: 8.8 (#323), OLMo 2 Furious 13B: 23.1 (#273)
| Benchmark | Llama 3-8B | OLMo 2 Furious 13B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| Omni-MATH | — | 15.6% |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1151 | — |
| MATH Level 5 | 6.1% | — |
Knowledge OLMo 2 Furious 13B leads
Llama 3-8B: 7.8 (#308), OLMo 2 Furious 13B: 18.3 (#283)
| Benchmark | Llama 3-8B | OLMo 2 Furious 13B |
|---|---|---|
| GPQA Diamond | 26.1% | — |
| MMLU-Pro | — | 31% |
| GPQA (HELM) | — | 31.6% |
| LMArena Expert | 1113 | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Not comparable
Llama 3-8B: 30.8 (#261), OLMo 2 Furious 13B: —
| Benchmark | Llama 3-8B | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1098 | — |
| LMArena Chinese | 1076 | — |
| LMArena French | 1159 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1004 | — |
| LMArena Russian | 1109 | — |
| LMArena Spanish | 1173 | — |
Instruction Following OLMo 2 Furious 13B leads
Llama 3-8B: 58.4 (#260), OLMo 2 Furious 13B: 60.9 (#248)
| Benchmark | Llama 3-8B | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Instruction Following | — | 60.6% |
| IFEval | — | 73% |
| LMArena Instruction Following | 1127 | — |
Long Context Not comparable
Llama 3-8B: 34.2 (#251), OLMo 2 Furious 13B: —
| Benchmark | Llama 3-8B | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Longer Query | 1128 | — |
Writing & Preference OLMo 2 Furious 13B leads
Llama 3-8B: 37.5 (#256), OLMo 2 Furious 13B: 42.9 (#230)
| Benchmark | Llama 3-8B | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Text | 1166 | — |
| LMArena Creative Writing | 1150 | — |
| WildBench | — | 68.9% |
| LMArena Multi-Turn | 1152 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is Llama 3-8B better than OLMo 2 Furious 13B?
OLMo 2 Furious 13B is the stronger model overall, scoring 29.7 to 25.5 on the Noometry Index.
Is Llama 3-8B or OLMo 2 Furious 13B better for coding?
Llama 3-8B scores higher on coding benchmarks: 31.0 versus 28.6 in the Noometry coding category.
How many benchmarks do Llama 3-8B and OLMo 2 Furious 13B share?
0 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and OLMo 2 Furious 13B has 12.