Model comparison
Gemma 2 27B vs Olmo 2 0325 32b Instruct
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.7 to 29.4 on the Noometry Index.
Last verified . 11 shared benchmarks.
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Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. Gemma 2 27B scores higher in 3 categories and Olmo 2 0325 32b Instruct in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 2 0325 32b Instruct leads 26.8 to 10.7.
Side by side
| Gemma 2 27B | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | |
| Noometry Index | 29.4 | 32.7 |
| Released | 2024-06-24 | — |
| Weights | Open | Open |
| Context window | 8K | — |
| Max output | 2K | — |
| Input $ / M tokens | $0.65 | — |
| Output $ / M tokens | $0.65 | — |
| Results tracked | 34 | 16 |
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Category by category
Coding Olmo 2 0325 32b Instruct leads
Gemma 2 27B: 34.1 (#246), Olmo 2 0325 32b Instruct: 35.2 (#227)
| Benchmark | Gemma 2 27B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1211 | 1210 |
| BigCodeBench Instruct | 42.8% | — |
| LiveBench Coding | 36% | — |
| BigCodeBench Complete | 52.5% | — |
Reasoning Olmo 2 0325 32b Instruct leads
Gemma 2 27B: 15.3 (#315), Olmo 2 0325 32b Instruct: 23.6 (#175)
| Benchmark | Gemma 2 27B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1198 | 1208 |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 48% | — |
| LiveBench Data Analysis | 47.9% | — |
| LMCA | 7.1% | — |
| Epoch Capabilities Index | 122.08 | — |
| LiveBench | 38.2% | — |
Math Olmo 2 0325 32b Instruct leads
Gemma 2 27B: 10.7 (#311), Olmo 2 0325 32b Instruct: 26.8 (#255)
| Benchmark | Gemma 2 27B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1212 | 1208 |
| OTIS Mock AIME 2024-2025 | 1.4% | — |
| Omni-MATH | — | 16.1% |
| LiveBench Math | 26.5% | — |
| MATH Level 5 | 27.9% | — |
Knowledge Too close to call
Gemma 2 27B: 19.0 (#280), Olmo 2 0325 32b Instruct: 19.5 (#279)
| Benchmark | Gemma 2 27B | Olmo 2 0325 32b Instruct |
|---|---|---|
| GPQA Diamond | 36.5% | — |
| MMLU-Pro | — | 41.4% |
| Confabulations | 27.1% | — |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1172 | — |
| MMLU | 75.7% | — |
Multilingual Gemma 2 27B leads
Gemma 2 27B: 38.6 (#226), Olmo 2 0325 32b Instruct: 34.8 (#248)
| Benchmark | Gemma 2 27B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1217 | 1160 |
| LMArena Chinese | 1221 | 1192 |
| LMArena Russian | 1234 | 1187 |
| LMArena French | 1247 | — |
| LMArena German | 1209 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1174 | — |
| LMArena Spanish | 1228 | — |
Instruction Following Olmo 2 0325 32b Instruct leads
Gemma 2 27B: 60.5 (#249), Olmo 2 0325 32b Instruct: 61.5 (#244)
| Benchmark | Gemma 2 27B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1206 | 1186 |
| LiveBench Instruction Following | 58.1% | — |
| IFEval | — | 78% |
Long Context Gemma 2 27B leads
Gemma 2 27B: 37.3 (#218), Olmo 2 0325 32b Instruct: 36.2 (#234)
| Benchmark | Gemma 2 27B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1231 | 1194 |
Writing & Preference Gemma 2 27B leads
Gemma 2 27B: 44.2 (#225), Olmo 2 0325 32b Instruct: 42.1 (#236)
| Benchmark | Gemma 2 27B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1231 | 1218 |
| LMArena Creative Writing | 1241 | 1199 |
| LMArena Multi-Turn | 1224 | 1221 |
| WildBench | — | 73.4% |
| LiveBench Language | 32.6% | — |
Frequently asked questions
Is Gemma 2 27B better than Olmo 2 0325 32b Instruct?
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.7 to 29.4 on the Noometry Index.
Is Gemma 2 27B or Olmo 2 0325 32b Instruct better for coding?
Olmo 2 0325 32b Instruct scores higher on coding benchmarks: 35.2 versus 34.1 in the Noometry coding category.
How many benchmarks do Gemma 2 27B and Olmo 2 0325 32b Instruct share?
11 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.