Model comparison
Llama 3-8B vs Olmo 3 32b Think
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 25.5 on the Noometry Index.
Last verified . 14 shared benchmarks.
Meta
Allen Institute for AI (Ai2)Summary
- They share 14 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Olmo 3 32b Think in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 3 32b Think leads 36.5 to 8.8.
Side by side
| Llama 3-8B | Olmo 3 32b Think | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 25.5 | 38.7 |
| Released | 2024-04-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 14 |
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Category by category
Coding Olmo 3 32b Think leads
Llama 3-8B: 31.0 (#289), Olmo 3 32b Think: 38.6 (#172)
| Benchmark | Llama 3-8B | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1152 | 1319 |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Olmo 3 32b Think leads
Llama 3-8B: 14.3 (#326), Olmo 3 32b Think: 25.9 (#140)
| Benchmark | Llama 3-8B | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1302 |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Olmo 3 32b Think leads
Llama 3-8B: 8.8 (#323), Olmo 3 32b Think: 36.5 (#165)
| Benchmark | Llama 3-8B | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1151 | 1316 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| MATH Level 5 | 6.1% | — |
Knowledge Olmo 3 32b Think leads
Llama 3-8B: 7.8 (#308), Olmo 3 32b Think: 35.0 (#190)
| Benchmark | Llama 3-8B | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1113 | 1273 |
| GPQA Diamond | 26.1% | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Olmo 3 32b Think leads
Llama 3-8B: 30.8 (#261), Olmo 3 32b Think: 41.2 (#210)
| Benchmark | Llama 3-8B | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1098 | 1255 |
| LMArena Chinese | 1076 | 1300 |
| LMArena French | 1159 | 1291 |
| LMArena German | 1104 | 1290 |
| LMArena Russian | 1109 | 1254 |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1004 | — |
| LMArena Spanish | 1173 | — |
Instruction Following Olmo 3 32b Think leads
Llama 3-8B: 58.4 (#260), Olmo 3 32b Think: 67.2 (#198)
| Benchmark | Llama 3-8B | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1127 | 1275 |
Long Context Olmo 3 32b Think leads
Llama 3-8B: 34.2 (#251), Olmo 3 32b Think: 39.4 (#182)
| Benchmark | Llama 3-8B | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1128 | 1296 |
Writing & Preference Olmo 3 32b Think leads
Llama 3-8B: 37.5 (#256), Olmo 3 32b Think: 49.1 (#193)
| Benchmark | Llama 3-8B | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1166 | 1300 |
| LMArena Creative Writing | 1150 | 1256 |
| LMArena Multi-Turn | 1152 | 1290 |
Frequently asked questions
Is Llama 3-8B better than Olmo 3 32b Think?
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 25.5 on the Noometry Index.
Is Llama 3-8B or Olmo 3 32b Think better for coding?
Olmo 3 32b Think scores higher on coding benchmarks: 38.6 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Olmo 3 32b Think share?
14 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Olmo 3 32b Think has 14.