# Llama 3.2 3B vs Step 3.7 Flash

> Step 3.7 Flash is the stronger model overall, scoring 36.5 to 28.4 on the Noometry Index. Llama 3.2 3B costs 3.5× less per token, which makes it the better buy when Step 3.7 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/llama-3-2-3b-vs-step-3-7-flash
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where Step 3.7 Flash leads 39.4 to 27.1.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.18 / $1.11 for Step 3.7 Flash.
- Step 3.7 Flash accepts more context: 256K tokens versus 131K.

## Snapshot

| | Llama 3.2 3B | Step 3.7 Flash |
|---|---|---|
| Provider | Meta | StepFun |
| Noometry Index | 28.4 | 36.5 |
| Rank | 318 | 207 |
| Context | 131K | 256K |
| Input $/M | $0.05 | $0.18 |
| Output $/M | $0.33 | $1.11 |
| Weights | Open | Open |

## Coding

- Llama 3.2 3B: 27.1 (#314)
- Step 3.7 Flash: 39.4 (#147)

| Benchmark | Llama 3.2 3B | Step 3.7 Flash |
|---|---|---|
| SciCode | — | 40% |
| BigCodeBench Instruct | 23.4% | — |
| LMArena Coding | 1098 | — |
| BigCodeBench Complete | 28.3% | — |
| ALE-Bench | — | 694.12 |

## Agentic & Tool Use

- Llama 3.2 3B: 19.9 (#135)
- Step 3.7 Flash: —

| Benchmark | Llama 3.2 3B | Step 3.7 Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | — |
| BALROG | 10.1% | — |

## Reasoning

- Llama 3.2 3B: 20.1 (#225)
- Step 3.7 Flash: 20.9 (#211)

| Benchmark | Llama 3.2 3B | Step 3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
| LMArena Hard Prompts | 1095 | — |

## Math

- Llama 3.2 3B: 29.9 (#213)
- Step 3.7 Flash: 40.9 (#74)

| Benchmark | Llama 3.2 3B | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
| LMArena Math | 1126 | — |

## Knowledge

- Llama 3.2 3B: 29.1 (#232)
- Step 3.7 Flash: —

| Benchmark | Llama 3.2 3B | Step 3.7 Flash |
|---|---|---|
| LMArena Expert | 1090 | — |

## Multilingual

- Llama 3.2 3B: 26.4 (#276)
- Step 3.7 Flash: —

| Benchmark | Llama 3.2 3B | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1019 | — |
| LMArena Chinese | 1017 | — |
| LMArena German | 1056 | — |
| LMArena Russian | 949 | — |

## Instruction Following

- Llama 3.2 3B: 56.3 (#270)
- Step 3.7 Flash: —

| Benchmark | Llama 3.2 3B | Step 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1089 | — |

## Long Context

- Llama 3.2 3B: 33.4 (#256)
- Step 3.7 Flash: —

| Benchmark | Llama 3.2 3B | Step 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1101 | — |

## Writing & Preference

- Llama 3.2 3B: 24.9 (#302)
- Step 3.7 Flash: —

| Benchmark | Llama 3.2 3B | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1110 | — |
| LMArena Creative Writing | 1094 | — |
| EQ-Bench Creative Writing | 595 | — |
| LMArena Multi-Turn | 1105 | — |

## FAQ

### Is Llama 3.2 3B better than Step 3.7 Flash?

Step 3.7 Flash is the stronger model overall, scoring 36.5 to 28.4 on the Noometry Index. Llama 3.2 3B costs 3.5× less per token, which makes it the better buy when Step 3.7 Flash's lead doesn't matter for your workload.

### Which is cheaper, Llama 3.2 3B or Step 3.7 Flash?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Step 3.7 Flash lists at $0.18 and $1.11.

### Is Llama 3.2 3B or Step 3.7 Flash better for coding?

Step 3.7 Flash scores higher on coding benchmarks: 39.4 versus 27.1 in the Noometry coding category.

### Which has the bigger context window?

Step 3.7 Flash does, with 256K tokens against 131K.

### How many benchmarks do Llama 3.2 3B and Step 3.7 Flash share?

0 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and Step 3.7 Flash has 5.