Model comparison
Llama 2-7B vs Olmo 3 32b Think
Olmo 3 32b Think is the stronger model overall, scoring 38.1 to 28.6 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 2-7B 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 writing & preference, where Olmo 3 32b Think leads 49.2 to 28.1.
Side by side
| Llama 2-7B | Olmo 3 32b Think | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 28.6 | 38.1 |
| Released | 2023-07-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 29 | 14 |
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Category by category
Coding Olmo 3 32b Think leads
Llama 2-7B: 28.7 (#302), Olmo 3 32b Think: 38.0 (#169)
| Benchmark | Llama 2-7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1002 | 1318 |
Reasoning Olmo 3 32b Think leads
Llama 2-7B: 15.1 (#309), Olmo 3 32b Think: 24.9 (#138)
| Benchmark | Llama 2-7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1302 |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | 39.2% | — |
| Epoch Capabilities Index | 98.54 | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Olmo 3 32b Think leads
Llama 2-7B: 28.2 (#231), Olmo 3 32b Think: 33.8 (#165)
| Benchmark | Llama 2-7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1042 | 1315 |
| GSM8K | 16.7% | — |
Knowledge Olmo 3 32b Think leads
Llama 2-7B: 27.7 (#243), Olmo 3 32b Think: 34.4 (#189)
| Benchmark | Llama 2-7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1036 | 1272 |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Olmo 3 32b Think: —
| Benchmark | Llama 2-7B | Olmo 3 32b Think |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Olmo 3 32b Think leads
Llama 2-7B: 23.9 (#288), Olmo 3 32b Think: 41.4 (#205)
| Benchmark | Llama 2-7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 973 | 1255 |
| LMArena Chinese | 973 | 1300 |
| LMArena French | 969 | 1291 |
| LMArena German | 978 | 1290 |
| LMArena Russian | 995 | 1255 |
| LMArena Spanish | 1007 | — |
Instruction Following Olmo 3 32b Think leads
Llama 2-7B: 51.0 (#293), Olmo 3 32b Think: 67.4 (#193)
| Benchmark | Llama 2-7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1006 | 1275 |
Long Context Olmo 3 32b Think leads
Llama 2-7B: 30.4 (#282), Olmo 3 32b Think: 39.4 (#177)
| Benchmark | Llama 2-7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 999 | 1296 |
Writing & Preference Olmo 3 32b Think leads
Llama 2-7B: 28.1 (#293), Olmo 3 32b Think: 49.2 (#188)
| Benchmark | Llama 2-7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1053 | 1300 |
| LMArena Creative Writing | 1033 | 1256 |
| LMArena Multi-Turn | 1029 | 1289 |
Frequently asked questions
Is Llama 2-7B better than Olmo 3 32b Think?
Olmo 3 32b Think is the stronger model overall, scoring 38.1 to 28.6 on the Noometry Index.
Is Llama 2-7B or Olmo 3 32b Think better for coding?
Olmo 3 32b Think scores higher on coding benchmarks: 38.0 versus 28.7 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Olmo 3 32b Think share?
14 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Olmo 3 32b Think has 14.