Model comparison
Gemma 2 27B vs Llama2 70b Steerlm Chat
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 29.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
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NVIDIASummary
- They share 9 benchmarks with published results for both. Gemma 2 27B scores higher in 5 categories and Llama2 70b Steerlm Chat in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama2 70b Steerlm Chat leads 31.3 to 10.7.
Side by side
| Gemma 2 27B | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | NVIDIA | |
| Noometry Index | 29.4 | 31.8 |
| 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 | 9 |
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Category by category
Coding Gemma 2 27B leads
Gemma 2 27B: 34.1 (#246), Llama2 70b Steerlm Chat: 29.9 (#300)
| Benchmark | Gemma 2 27B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1211 | 1025 |
| BigCodeBench Instruct | 42.8% | — |
| LiveBench Coding | 36% | — |
| BigCodeBench Complete | 52.5% | — |
Reasoning Llama2 70b Steerlm Chat leads
Gemma 2 27B: 15.3 (#315), Llama2 70b Steerlm Chat: 20.0 (#246)
| Benchmark | Gemma 2 27B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1198 | 1047 |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 48% | — |
| LiveBench Data Analysis | 47.9% | — |
| LMCA | 7.1% | — |
| Epoch Capabilities Index | 122.08 | — |
| LiveBench | 38.2% | — |
Math Llama2 70b Steerlm Chat leads
Gemma 2 27B: 10.7 (#311), Llama2 70b Steerlm Chat: 31.3 (#226)
| Benchmark | Gemma 2 27B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1212 | 1072 |
| OTIS Mock AIME 2024-2025 | 1.4% | — |
| LiveBench Math | 26.5% | — |
| MATH Level 5 | 27.9% | — |
Knowledge Not comparable
Gemma 2 27B: 19.0 (#280), Llama2 70b Steerlm Chat: —
| Benchmark | Gemma 2 27B | Llama2 70b Steerlm Chat |
|---|---|---|
| GPQA Diamond | 36.5% | — |
| Confabulations | 27.1% | — |
| LMArena Expert | 1172 | — |
| MMLU | 75.7% | — |
Multilingual Gemma 2 27B leads
Gemma 2 27B: 38.6 (#226), Llama2 70b Steerlm Chat: 28.8 (#270)
| Benchmark | Gemma 2 27B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1217 | 1063 |
| LMArena Chinese | 1221 | — |
| LMArena French | 1247 | — |
| LMArena German | 1209 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1174 | — |
| LMArena Russian | 1234 | — |
| LMArena Spanish | 1228 | — |
Instruction Following Gemma 2 27B leads
Gemma 2 27B: 60.5 (#249), Llama2 70b Steerlm Chat: 54.2 (#279)
| Benchmark | Gemma 2 27B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1206 | 1060 |
| LiveBench Instruction Following | 58.1% | — |
Long Context Gemma 2 27B leads
Gemma 2 27B: 37.3 (#218), Llama2 70b Steerlm Chat: 30.4 (#288)
| Benchmark | Gemma 2 27B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1231 | 998 |
Writing & Preference Gemma 2 27B leads
Gemma 2 27B: 44.2 (#225), Llama2 70b Steerlm Chat: 31.6 (#283)
| Benchmark | Gemma 2 27B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1231 | 1098 |
| LMArena Creative Writing | 1241 | 1091 |
| LMArena Multi-Turn | 1224 | 1058 |
| LiveBench Language | 32.6% | — |
Frequently asked questions
Is Gemma 2 27B better than Llama2 70b Steerlm Chat?
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 29.4 on the Noometry Index.
Is Gemma 2 27B or Llama2 70b Steerlm Chat better for coding?
Gemma 2 27B scores higher on coding benchmarks: 34.1 versus 29.9 in the Noometry coding category.
How many benchmarks do Gemma 2 27B and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and Llama2 70b Steerlm Chat has 9.