Model comparison
Llama 2-13B vs Step 3.7 Flash
Step 3.7 Flash is the stronger model overall, scoring 37.3 to 29.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
StepFunSummary
- The widest gap is in math, where Step 3.7 Flash leads 42.9 to 31.1.
Side by side
| Llama 2-13B | Step 3.7 Flash | |
|---|---|---|
| Provider | Meta | StepFun |
| Noometry Index | 29.6 | 37.3 |
| Released | 2023-07-18 | 2026-05-29 |
| Weights | Open | Open |
| Context window | — | 256K |
| Max output | — | 256K |
| Input $ / M tokens | — | $0.18 |
| Output $ / M tokens | — | $1.11 |
| Results tracked | 32 | 5 |
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Category by category
Coding Step 3.7 Flash leads
Llama 2-13B: 30.9 (#291), Step 3.7 Flash: 40.0 (#150)
| Benchmark | Llama 2-13B | Step 3.7 Flash |
|---|---|---|
| SciCode | — | 40% |
| LMArena Coding | 1062 | — |
| ALE-Bench | — | 694.12 |
Reasoning Step 3.7 Flash leads
Llama 2-13B: 12.8 (#337), Step 3.7 Flash: 21.6 (#219)
| Benchmark | Llama 2-13B | Step 3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1051 | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 106.17 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Step 3.7 Flash leads
Llama 2-13B: 31.1 (#229), Step 3.7 Flash: 42.9 (#82)
| Benchmark | Llama 2-13B | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
| LMArena Math | 1065 | — |
| GSM8K | 36.9% | — |
Knowledge Not comparable
Llama 2-13B: 28.1 (#249), Step 3.7 Flash: —
| Benchmark | Llama 2-13B | Step 3.7 Flash |
|---|---|---|
| LMArena Expert | 1030 | — |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Step 3.7 Flash: —
| Benchmark | Llama 2-13B | Step 3.7 Flash |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Not comparable
Llama 2-13B: 26.5 (#279), Step 3.7 Flash: —
| Benchmark | Llama 2-13B | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1024 | — |
| LMArena Chinese | 1001 | — |
| LMArena French | 1044 | — |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Russian | 1055 | — |
| LMArena Spanish | 1087 | — |
Instruction Following Not comparable
Llama 2-13B: 53.3 (#287), Step 3.7 Flash: —
| Benchmark | Llama 2-13B | Step 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1045 | — |
Long Context Not comparable
Llama 2-13B: 32.3 (#269), Step 3.7 Flash: —
| Benchmark | Llama 2-13B | Step 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1064 | — |
Writing & Preference Not comparable
Llama 2-13B: 29.8 (#289), Step 3.7 Flash: —
| Benchmark | Llama 2-13B | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1084 | — |
| LMArena Creative Writing | 1047 | — |
| LMArena Multi-Turn | 1050 | — |
Frequently asked questions
Is Llama 2-13B better than Step 3.7 Flash?
Step 3.7 Flash is the stronger model overall, scoring 37.3 to 29.6 on the Noometry Index.
Is Llama 2-13B or Step 3.7 Flash better for coding?
Step 3.7 Flash scores higher on coding benchmarks: 40.0 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Step 3.7 Flash share?
0 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Step 3.7 Flash has 5.