Model comparison
Llama 2-70B vs Step 5 Preview
Step 5 Preview is the stronger model overall, scoring 43.8 to 24.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Step 5 Preview leads 38.0 to 13.7.
- Llama 2-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-70B | Step 5 Preview | |
|---|---|---|
| Provider | Meta | StepFun |
| Noometry Index | 24.1 | 43.8 |
| Released | 2023-07-18 | 2026-09-16 |
| Weights | Open | Proprietary |
| Context window | — | 1.02M |
| Max output | — | 66K |
| Input $ / M tokens | — | $1 |
| Output $ / M tokens | — | $2.70 |
| Results tracked | 35 | 3 |
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Category by category
Coding Step 5 Preview leads
Llama 2-70B: 30.8 (#281), Step 5 Preview: 50.6 (#40)
| Benchmark | Llama 2-70B | Step 5 Preview |
|---|---|---|
| LMArena WebDev | — | 1569 |
| SciCode | — | 58.9% |
| LMArena Coding | 1079 | — |
Reasoning Step 5 Preview leads
Llama 2-70B: 13.7 (#324), Step 5 Preview: 38.0 (#58)
| Benchmark | Llama 2-70B | Step 5 Preview |
|---|---|---|
| CritPt | — | 20.9% |
| LMArena Hard Prompts | 1073 | — |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| Epoch Capabilities Index | 113.59 | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |
Math Not comparable
Llama 2-70B: 7.5 (#320), Step 5 Preview: —
| Benchmark | Llama 2-70B | Step 5 Preview |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0% | — |
| LMArena Math | 1091 | — |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge Not comparable
Llama 2-70B: 7.4 (#305), Step 5 Preview: —
| Benchmark | Llama 2-70B | Step 5 Preview |
|---|---|---|
| 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 Not comparable
Llama 2-70B: 27.9 (#269), Step 5 Preview: —
| Benchmark | Llama 2-70B | Step 5 Preview |
|---|---|---|
| LMArena Non-English | 1045 | — |
| LMArena Chinese | 994 | — |
| LMArena French | 1089 | — |
| LMArena German | 1041 | — |
| LMArena Japanese | 927 | — |
| LMArena Korean | 964 | — |
| LMArena Russian | 1083 | — |
| LMArena Spanish | 1142 | — |
Instruction Following Not comparable
Llama 2-70B: 55.1 (#273), Step 5 Preview: —
| Benchmark | Llama 2-70B | Step 5 Preview |
|---|---|---|
| LMArena Instruction Following | 1071 | — |
Long Context Not comparable
Llama 2-70B: 32.2 (#265), Step 5 Preview: —
| Benchmark | Llama 2-70B | Step 5 Preview |
|---|---|---|
| LMArena Longer Query | 1062 | — |
Writing & Preference Not comparable
Llama 2-70B: 32.5 (#274), Step 5 Preview: —
| Benchmark | Llama 2-70B | Step 5 Preview |
|---|---|---|
| LMArena Text | 1115 | — |
| LMArena Creative Writing | 1075 | — |
| LMArena Multi-Turn | 1088 | — |
Frequently asked questions
Is Llama 2-70B better than Step 5 Preview?
Step 5 Preview is the stronger model overall, scoring 43.8 to 24.1 on the Noometry Index.
Is Llama 2-70B or Step 5 Preview better for coding?
Step 5 Preview scores higher on coding benchmarks: 50.6 versus 30.8 in the Noometry coding category.
How many benchmarks do Llama 2-70B and Step 5 Preview share?
0 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Step 5 Preview has 3.