Model comparison
Llama 2-13B vs Olmo 2 0325 32b Instruct
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.2 to 29.1 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 2-13B scores higher in 2 categories and Olmo 2 0325 32b Instruct in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Olmo 2 0325 32b Instruct leads 42.3 to 30.0.
Side by side
| Llama 2-13B | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 29.1 | 32.2 |
| Released | 2023-07-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 32 | 16 |
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Category by category
Coding Olmo 2 0325 32b Instruct leads
Llama 2-13B: 30.4 (#287), Olmo 2 0325 32b Instruct: 34.6 (#222)
| Benchmark | Llama 2-13B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1062 | 1210 |
Reasoning Olmo 2 0325 32b Instruct leads
Llama 2-13B: 12.3 (#333), Olmo 2 0325 32b Instruct: 22.6 (#174)
| Benchmark | Llama 2-13B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1208 |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 105.8 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Llama 2-13B leads
Llama 2-13B: 28.7 (#226), Olmo 2 0325 32b Instruct: 24.8 (#255)
| Benchmark | Llama 2-13B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1065 | 1208 |
| Omni-MATH | — | 16.1% |
| GSM8K | 36.9% | — |
Knowledge Llama 2-13B leads
Llama 2-13B: 27.5 (#244), Olmo 2 0325 32b Instruct: 19.2 (#274)
| Benchmark | Llama 2-13B | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1030 | — |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Olmo 2 0325 32b Instruct: —
| Benchmark | Llama 2-13B | Olmo 2 0325 32b Instruct |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Olmo 2 0325 32b Instruct leads
Llama 2-13B: 26.7 (#274), Olmo 2 0325 32b Instruct: 35.0 (#243)
| Benchmark | Llama 2-13B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1024 | 1160 |
| LMArena Chinese | 1001 | 1192 |
| LMArena Russian | 1055 | 1187 |
| LMArena French | 1043 | — |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Spanish | 1086 | — |
Instruction Following Olmo 2 0325 32b Instruct leads
Llama 2-13B: 53.5 (#282), Olmo 2 0325 32b Instruct: 61.8 (#238)
| Benchmark | Llama 2-13B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1046 | 1186 |
| IFEval | — | 78% |
Long Context Olmo 2 0325 32b Instruct leads
Llama 2-13B: 32.3 (#264), Olmo 2 0325 32b Instruct: 36.2 (#229)
| Benchmark | Llama 2-13B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1064 | 1194 |
Writing & Preference Olmo 2 0325 32b Instruct leads
Llama 2-13B: 30.0 (#284), Olmo 2 0325 32b Instruct: 42.3 (#231)
| Benchmark | Llama 2-13B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1085 | 1218 |
| LMArena Creative Writing | 1047 | 1199 |
| LMArena Multi-Turn | 1050 | 1221 |
| WildBench | — | 73.4% |
Frequently asked questions
Is Llama 2-13B better than Olmo 2 0325 32b Instruct?
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.2 to 29.1 on the Noometry Index.
Is Llama 2-13B or Olmo 2 0325 32b Instruct better for coding?
Olmo 2 0325 32b Instruct scores higher on coding benchmarks: 34.6 versus 30.4 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Olmo 2 0325 32b Instruct share?
11 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.