Model comparison
Llama 2-70B vs Llama2 70b Steerlm Chat
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
Meta
NVIDIASummary
- They share 9 benchmarks with published results for both. Llama 2-70B scores higher in 4 categories and Llama2 70b Steerlm Chat in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama2 70b Steerlm Chat leads 31.3 to 8.1.
Side by side
| Llama 2-70B | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | Meta | NVIDIA |
| Noometry Index | 24.4 | 31.8 |
| Released | 2023-07-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 35 | 9 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Llama 2-70B leads
Llama 2-70B: 31.4 (#286), Llama2 70b Steerlm Chat: 29.9 (#300)
| Benchmark | Llama 2-70B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1079 | 1025 |
Reasoning Llama2 70b Steerlm Chat leads
Llama 2-70B: 14.4 (#325), Llama2 70b Steerlm Chat: 20.0 (#246)
| Benchmark | Llama 2-70B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1047 |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| Epoch Capabilities Index | 113.79 | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |
Math Llama2 70b Steerlm Chat leads
Llama 2-70B: 8.1 (#326), Llama2 70b Steerlm Chat: 31.3 (#226)
| Benchmark | Llama 2-70B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1091 | 1072 |
| OTIS Mock AIME 2024-2025 | 0% | — |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge Not comparable
Llama 2-70B: 7.4 (#310), Llama2 70b Steerlm Chat: —
| Benchmark | Llama 2-70B | Llama2 70b Steerlm Chat |
|---|---|---|
| GPQA Diamond | 26.3% | — |
| LMArena Expert | 1039 | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multilingual Llama2 70b Steerlm Chat leads
Llama 2-70B: 27.7 (#274), Llama2 70b Steerlm Chat: 28.8 (#270)
| Benchmark | Llama 2-70B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1045 | 1063 |
| LMArena Chinese | 995 | — |
| LMArena French | 1090 | — |
| LMArena German | 1041 | — |
| LMArena Japanese | 927 | — |
| LMArena Korean | 964 | — |
| LMArena Russian | 1083 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Too close to call
Llama 2-70B: 54.9 (#278), Llama2 70b Steerlm Chat: 54.2 (#279)
| Benchmark | Llama 2-70B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1071 | 1060 |
Long Context Llama 2-70B leads
Llama 2-70B: 32.3 (#270), Llama2 70b Steerlm Chat: 30.4 (#288)
| Benchmark | Llama 2-70B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1062 | 998 |
Writing & Preference Too close to call
Llama 2-70B: 32.3 (#279), Llama2 70b Steerlm Chat: 31.6 (#283)
| Benchmark | Llama 2-70B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1115 | 1098 |
| LMArena Creative Writing | 1075 | 1091 |
| LMArena Multi-Turn | 1088 | 1058 |
Frequently asked questions
Is Llama 2-70B better than Llama2 70b Steerlm Chat?
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 24.4 on the Noometry Index.
Is Llama 2-70B or Llama2 70b Steerlm Chat better for coding?
Llama 2-70B scores higher on coding benchmarks: 31.4 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama 2-70B and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Llama2 70b Steerlm Chat has 9.