Model comparison
Llama 3-8B vs Olmo 3.1 32b Think
Olmo 3.1 32b Think is the stronger model overall, scoring 37.3 to 25.3 on the Noometry Index.
Last verified . 15 shared benchmarks.
Meta
Allen Institute for AI (Ai2)Summary
- They share 15 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Olmo 3.1 32b Think in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Olmo 3.1 32b Think leads 35.0 to 7.8.
Side by side
| Llama 3-8B | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 25.3 | 37.3 |
| Released | 2024-04-18 | — |
| Weights | Open | Open |
| Context window | 8K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.14 | — |
| Output $ / M tokens | $0.14 | — |
| Results tracked | 34 | 15 |
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Category by category
Coding Olmo 3.1 32b Think leads
Llama 3-8B: 30.5 (#285), Olmo 3.1 32b Think: 37.1 (#186)
| Benchmark | Llama 3-8B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1152 | 1292 |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Olmo 3.1 32b Think leads
Llama 3-8B: 13.8 (#321), Olmo 3.1 32b Think: 24.1 (#151)
| Benchmark | Llama 3-8B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1272 |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.33 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Olmo 3.1 32b Think leads
Llama 3-8B: 8.3 (#317), Olmo 3.1 32b Think: 33.6 (#170)
| Benchmark | Llama 3-8B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1151 | 1305 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| MATH Level 5 | 6.1% | — |
Knowledge Olmo 3.1 32b Think leads
Llama 3-8B: 7.8 (#303), Olmo 3.1 32b Think: 35.0 (#178)
| Benchmark | Llama 3-8B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1113 | 1294 |
| GPQA Diamond | 26.1% | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Olmo 3.1 32b Think leads
Llama 3-8B: 31.0 (#256), Olmo 3.1 32b Think: 38.3 (#226)
| Benchmark | Llama 3-8B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1098 | 1210 |
| LMArena Chinese | 1076 | 1241 |
| LMArena French | 1158 | 1262 |
| LMArena German | 1104 | 1260 |
| LMArena Russian | 1109 | 1193 |
| LMArena Spanish | 1172 | 1288 |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1003 | — |
Instruction Following Olmo 3.1 32b Think leads
Llama 3-8B: 58.7 (#255), Olmo 3.1 32b Think: 65.8 (#213)
| Benchmark | Llama 3-8B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1127 | 1246 |
Long Context Olmo 3.1 32b Think leads
Llama 3-8B: 34.2 (#246), Olmo 3.1 32b Think: 38.6 (#190)
| Benchmark | Llama 3-8B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1128 | 1272 |
Writing & Preference Olmo 3.1 32b Think leads
Llama 3-8B: 37.7 (#251), Olmo 3.1 32b Think: 46.4 (#215)
| Benchmark | Llama 3-8B | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1166 | 1271 |
| LMArena Creative Writing | 1150 | 1226 |
| LMArena Multi-Turn | 1152 | 1252 |
Frequently asked questions
Is Llama 3-8B better than Olmo 3.1 32b Think?
Olmo 3.1 32b Think is the stronger model overall, scoring 37.3 to 25.3 on the Noometry Index.
Is Llama 3-8B or Olmo 3.1 32b Think better for coding?
Olmo 3.1 32b Think scores higher on coding benchmarks: 37.1 versus 30.5 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Olmo 3.1 32b Think share?
15 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Olmo 3.1 32b Think has 15.