Model comparison
Llama 3-8B vs Olmo 2 0325 32b Instruct
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.7 to 25.5 on the Noometry Index.
Last verified . 11 shared benchmarks.
Meta
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Olmo 2 0325 32b Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 2 0325 32b Instruct leads 26.8 to 8.8.
Side by side
| Llama 3-8B | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 25.5 | 32.7 |
| Released | 2024-04-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 16 |
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Category by category
Coding Olmo 2 0325 32b Instruct leads
Llama 3-8B: 31.0 (#289), Olmo 2 0325 32b Instruct: 35.2 (#227)
| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1152 | 1210 |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Olmo 2 0325 32b Instruct leads
Llama 3-8B: 14.3 (#326), Olmo 2 0325 32b Instruct: 23.6 (#175)
| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1208 |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Olmo 2 0325 32b Instruct leads
Llama 3-8B: 8.8 (#323), Olmo 2 0325 32b Instruct: 26.8 (#255)
| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1151 | 1208 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| Omni-MATH | — | 16.1% |
| MATH Level 5 | 6.1% | — |
Knowledge Olmo 2 0325 32b Instruct leads
Llama 3-8B: 7.8 (#308), Olmo 2 0325 32b Instruct: 19.5 (#279)
| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| GPQA Diamond | 26.1% | — |
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1113 | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Olmo 2 0325 32b Instruct leads
Llama 3-8B: 30.8 (#261), Olmo 2 0325 32b Instruct: 34.8 (#248)
| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1098 | 1160 |
| LMArena Chinese | 1076 | 1192 |
| LMArena Russian | 1109 | 1187 |
| LMArena French | 1159 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1004 | — |
| LMArena Spanish | 1173 | — |
Instruction Following Olmo 2 0325 32b Instruct leads
Llama 3-8B: 58.4 (#260), Olmo 2 0325 32b Instruct: 61.5 (#244)
| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1127 | 1186 |
| IFEval | — | 78% |
Long Context Olmo 2 0325 32b Instruct leads
Llama 3-8B: 34.2 (#251), Olmo 2 0325 32b Instruct: 36.2 (#234)
| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1128 | 1194 |
Writing & Preference Olmo 2 0325 32b Instruct leads
Llama 3-8B: 37.5 (#256), Olmo 2 0325 32b Instruct: 42.1 (#236)
| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1166 | 1218 |
| LMArena Creative Writing | 1150 | 1199 |
| LMArena Multi-Turn | 1152 | 1221 |
| WildBench | — | 73.4% |
Frequently asked questions
Is Llama 3-8B better than Olmo 2 0325 32b Instruct?
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.7 to 25.5 on the Noometry Index.
Is Llama 3-8B or Olmo 2 0325 32b Instruct better for coding?
Olmo 2 0325 32b Instruct scores higher on coding benchmarks: 35.2 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Olmo 2 0325 32b Instruct share?
11 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.