Model comparison
Llama 3.1-8B vs Olmo 3.1 32b Instruct
Olmo 3.1 32b Instruct is the stronger model overall, scoring 39.4 to 23.0 on the Noometry Index.
Last verified . 16 shared benchmarks.
Meta
Allen Institute for AI (Ai2)Summary
- They share 16 benchmarks with published results for both. Llama 3.1-8B scores higher in 0 categories and Olmo 3.1 32b Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Olmo 3.1 32b Instruct leads 36.1 to 8.0.
Side by side
| Llama 3.1-8B | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 23.0 | 39.4 |
| Released | 2024-07-23 | — |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.08 | — |
| Results tracked | 43 | 16 |
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Category by category
Coding Olmo 3.1 32b Instruct leads
Llama 3.1-8B: 20.2 (#340), Olmo 3.1 32b Instruct: 39.5 (#157)
| Benchmark | Llama 3.1-8B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1195 | 1347 |
| SciCode | 13.2% | — |
| WeirdML | 1.7% | — |
| BigCodeBench Instruct | 32.8% | — |
| BigCodeBench Complete | 40.5% | — |
| HumanEval+ | 62.8% | — |
| MBPP+ | 55.6% | — |
Agentic & Tool Use Not comparable
Llama 3.1-8B: 22.5 (#131), Olmo 3.1 32b Instruct: —
| Benchmark | Llama 3.1-8B | Olmo 3.1 32b Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25.8% | — |
| BALROG | 15.1% | — |
Reasoning Olmo 3.1 32b Instruct leads
Llama 3.1-8B: 14.9 (#321), Olmo 3.1 32b Instruct: 26.4 (#132)
| Benchmark | Llama 3.1-8B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1175 | 1322 |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 5.4% | — |
| Epoch Capabilities Index | 116.57 | — |
| PIQA | 81.2% | — |
Math Olmo 3.1 32b Instruct leads
Llama 3.1-8B: 10.2 (#317), Olmo 3.1 32b Instruct: 36.3 (#167)
| Benchmark | Llama 3.1-8B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1179 | 1305 |
| OTIS Mock AIME 2024-2025 | 1.7% | — |
| Omni-MATH | 13.7% | — |
| MATH Level 5 | 22.9% | — |
| GSM8K | 82.4% | — |
Knowledge Olmo 3.1 32b Instruct leads
Llama 3.1-8B: 8.0 (#307), Olmo 3.1 32b Instruct: 36.1 (#175)
| Benchmark | Llama 3.1-8B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1144 | 1308 |
| GPQA Diamond | 27% | — |
| MMLU-Pro | 40.6% | — |
| GPQA (HELM) | 24.7% | — |
| BoolQ | 82.8% | — |
| MMLU | 56.1% | — |
Multilingual Olmo 3.1 32b Instruct leads
Llama 3.1-8B: 34.0 (#249), Olmo 3.1 32b Instruct: 42.6 (#191)
| Benchmark | Llama 3.1-8B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1148 | 1275 |
| LMArena Chinese | 1151 | 1304 |
| LMArena French | 1177 | 1328 |
| LMArena German | 1144 | 1282 |
| LMArena Korean | 1053 | 1206 |
| LMArena Russian | 1158 | 1268 |
| LMArena Spanish | 1169 | 1336 |
| LMArena Japanese | 1061 | — |
Instruction Following Olmo 3.1 32b Instruct leads
Llama 3.1-8B: 58.9 (#258), Olmo 3.1 32b Instruct: 68.6 (#187)
| Benchmark | Llama 3.1-8B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1159 | 1299 |
| IFEval | 74.3% | — |
Long Context Olmo 3.1 32b Instruct leads
Llama 3.1-8B: 35.8 (#238), Olmo 3.1 32b Instruct: 39.9 (#166)
| Benchmark | Llama 3.1-8B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1182 | 1312 |
Writing & Preference Olmo 3.1 32b Instruct leads
Llama 3.1-8B: 29.7 (#290), Olmo 3.1 32b Instruct: 50.2 (#185)
| Benchmark | Llama 3.1-8B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1187 | 1311 |
| LMArena Creative Writing | 1154 | 1264 |
| LMArena Multi-Turn | 1172 | 1309 |
| EQ-Bench Creative Writing | 713 | — |
| WildBench | 68.7% | — |
Frequently asked questions
Is Llama 3.1-8B better than Olmo 3.1 32b Instruct?
Olmo 3.1 32b Instruct is the stronger model overall, scoring 39.4 to 23.0 on the Noometry Index.
Is Llama 3.1-8B or Olmo 3.1 32b Instruct better for coding?
Olmo 3.1 32b Instruct scores higher on coding benchmarks: 39.5 versus 20.2 in the Noometry coding category.
How many benchmarks do Llama 3.1-8B and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Olmo 3.1 32b Instruct has 16.