Model comparison
Llama 3.2 1B vs Step 3.7 Flash
Step 3.7 Flash is the stronger model overall, scoring 37.3 to 20.1 on the Noometry Index. Llama 3.2 1B costs 5.9× less per token, which makes it the better buy when Step 3.7 Flash's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Meta
StepFunSummary
- The widest gap is in math, where Step 3.7 Flash leads 42.9 to 10.4.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 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 60K.
Side by side
| Llama 3.2 1B | Step 3.7 Flash | |
|---|---|---|
| Provider | Meta | StepFun |
| Noometry Index | 20.1 | 37.3 |
| Released | 2024-09-24 | 2026-05-29 |
| Weights | Open | Open |
| Context window | 60K | 256K |
| Max output | 54K | 256K |
| Input $ / M tokens | $0.027 | $0.18 |
| Output $ / M tokens | $0.20 | $1.11 |
| Results tracked | 22 | 5 |
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Category by category
Coding Step 3.7 Flash leads
Llama 3.2 1B: 21.1 (#338), Step 3.7 Flash: 40.0 (#150)
| Benchmark | Llama 3.2 1B | Step 3.7 Flash |
|---|---|---|
| SciCode | — | 40% |
| BigCodeBench Instruct | 8.2% | — |
| LMArena Coding | 1070 | — |
| BigCodeBench Complete | 11.3% | — |
| ALE-Bench | — | 694.12 |
Agentic & Tool Use Not comparable
Llama 3.2 1B: 14.6 (#150), Step 3.7 Flash: —
| Benchmark | Llama 3.2 1B | Step 3.7 Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |
Reasoning Step 3.7 Flash leads
Llama 3.2 1B: 16.2 (#308), Step 3.7 Flash: 21.6 (#219)
| Benchmark | Llama 3.2 1B | Step 3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1044 | — |
| Epoch Capabilities Index | 101.99 | — |
Math Step 3.7 Flash leads
Llama 3.2 1B: 10.4 (#313), Step 3.7 Flash: 42.9 (#82)
| Benchmark | Llama 3.2 1B | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |
| OTIS Mock AIME 2024-2025 | 0.6% | — |
| LMArena Math | 1086 | — |
Knowledge Not comparable
Llama 3.2 1B: 7.2 (#312), Step 3.7 Flash: —
| Benchmark | Llama 3.2 1B | Step 3.7 Flash |
|---|---|---|
| GPQA Diamond | 23.9% | — |
| LMArena Expert | 1007 | — |
Multilingual Not comparable
Llama 3.2 1B: 23.8 (#292), Step 3.7 Flash: —
| Benchmark | Llama 3.2 1B | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 959 | — |
| LMArena German | 1014 | — |
| LMArena Russian | 941 | — |
Instruction Following Not comparable
Llama 3.2 1B: 52.4 (#290), Step 3.7 Flash: —
| Benchmark | Llama 3.2 1B | Step 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1031 | — |
Long Context Not comparable
Llama 3.2 1B: 31.9 (#274), Step 3.7 Flash: —
| Benchmark | Llama 3.2 1B | Step 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1050 | — |
Writing & Preference Not comparable
Llama 3.2 1B: 21.3 (#310), Step 3.7 Flash: —
| Benchmark | Llama 3.2 1B | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1055 | — |
| LMArena Creative Writing | 1033 | — |
| EQ-Bench Creative Writing | 200 | — |
| LMArena Multi-Turn | 1030 | — |
Frequently asked questions
Is Llama 3.2 1B better than Step 3.7 Flash?
Step 3.7 Flash is the stronger model overall, scoring 37.3 to 20.1 on the Noometry Index. Llama 3.2 1B costs 5.9× 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 1B or Step 3.7 Flash?
Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Step 3.7 Flash lists at $0.18 and $1.11.
Is Llama 3.2 1B or Step 3.7 Flash better for coding?
Step 3.7 Flash scores higher on coding benchmarks: 40.0 versus 21.1 in the Noometry coding category.
Which has the bigger context window?
Step 3.7 Flash does, with 256K tokens against 60K.
How many benchmarks do Llama 3.2 1B and Step 3.7 Flash share?
0 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Step 3.7 Flash has 5.