Model comparison
Llama 3.1-8B vs Olmo 2 0325 32b Instruct
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.2 to 22.8 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 2 0325 32b Instruct in 8 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 2 0325 32b Instruct leads 24.8 to 9.5.
Side by side
| Llama 3.1-8B | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 22.8 | 32.2 |
| 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 2 0325 32b Instruct leads
Llama 3.1-8B: 19.9 (#335), Olmo 2 0325 32b Instruct: 34.6 (#222)
| Benchmark | Llama 3.1-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1195 | 1210 |
| 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: 22.3 (#123), Olmo 2 0325 32b Instruct: —
| Benchmark | Llama 3.1-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25.8% | — |
| BALROG | 15.1% | — |
Reasoning Olmo 2 0325 32b Instruct leads
Llama 3.1-8B: 14.5 (#316), Olmo 2 0325 32b Instruct: 22.6 (#174)
| Benchmark | Llama 3.1-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1175 | 1208 |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 5.4% | — |
| Epoch Capabilities Index | 116.48 | — |
| PIQA | 81.2% | — |
Math Olmo 2 0325 32b Instruct leads
Llama 3.1-8B: 9.5 (#311), Olmo 2 0325 32b Instruct: 24.8 (#255)
| Benchmark | Llama 3.1-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| Omni-MATH | 13.7% | 16.1% |
| LMArena Math | 1179 | 1208 |
| OTIS Mock AIME 2024-2025 | 1.7% | — |
| MATH Level 5 | 22.9% | — |
| GSM8K | 82.4% | — |
Knowledge Olmo 2 0325 32b Instruct leads
Llama 3.1-8B: 8.0 (#302), Olmo 2 0325 32b Instruct: 19.2 (#274)
| Benchmark | Llama 3.1-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | 40.6% | 41.4% |
| GPQA (HELM) | 24.7% | 28.7% |
| GPQA Diamond | 27% | — |
| LMArena Expert | 1144 | — |
| BoolQ | 82.8% | — |
| MMLU | 56.1% | — |
Multilingual Too close to call
Llama 3.1-8B: 34.2 (#244), Olmo 2 0325 32b Instruct: 35.0 (#243)
| Benchmark | Llama 3.1-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1148 | 1160 |
| LMArena Chinese | 1151 | 1192 |
| LMArena Russian | 1158 | 1187 |
| LMArena French | 1176 | — |
| LMArena German | 1144 | — |
| LMArena Japanese | 1061 | — |
| LMArena Korean | 1053 | — |
| LMArena Spanish | 1169 | — |
Instruction Following Olmo 2 0325 32b Instruct leads
Llama 3.1-8B: 59.1 (#253), Olmo 2 0325 32b Instruct: 61.8 (#238)
| Benchmark | Llama 3.1-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| IFEval | 74.3% | 78% |
| LMArena Instruction Following | 1159 | 1186 |
Long Context Too close to call
Llama 3.1-8B: 35.8 (#233), Olmo 2 0325 32b Instruct: 36.2 (#229)
| Benchmark | Llama 3.1-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1182 | 1194 |
Writing & Preference Olmo 2 0325 32b Instruct leads
Llama 3.1-8B: 29.9 (#285), Olmo 2 0325 32b Instruct: 42.3 (#231)
| Benchmark | Llama 3.1-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1187 | 1218 |
| LMArena Creative Writing | 1154 | 1199 |
| WildBench | 68.7% | 73.4% |
| LMArena Multi-Turn | 1172 | 1221 |
| EQ-Bench Creative Writing | 713 | — |
Frequently asked questions
Is Llama 3.1-8B better than Olmo 2 0325 32b Instruct?
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.2 to 22.8 on the Noometry Index.
Is Llama 3.1-8B or Olmo 2 0325 32b Instruct better for coding?
Olmo 2 0325 32b Instruct scores higher on coding benchmarks: 34.6 versus 19.9 in the Noometry coding category.
How many benchmarks do Llama 3.1-8B and Olmo 2 0325 32b Instruct share?
16 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.