Model comparison
Llama 3.2 1B vs Step 3
Step 3 is the stronger model overall, scoring 40.5 to 20.1 on the Noometry Index.
Last verified . 13 shared benchmarks.
Meta
StepFunSummary
- They share 13 benchmarks with published results for both. Llama 3.2 1B scores higher in 0 categories and Step 3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Step 3 leads 54.3 to 21.3.
Side by side
| Llama 3.2 1B | Step 3 | |
|---|---|---|
| Provider | Meta | StepFun |
| Noometry Index | 20.1 | 40.5 |
| Released | 2024-09-24 | — |
| Weights | Open | Open |
| Context window | 60K | — |
| Max output | 54K | — |
| Input $ / M tokens | $0.027 | — |
| Output $ / M tokens | $0.20 | — |
| Results tracked | 22 | 17 |
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Category by category
Coding Step 3 leads
Llama 3.2 1B: 21.1 (#338), Step 3: 40.1 (#147)
| Benchmark | Llama 3.2 1B | Step 3 |
|---|---|---|
| LMArena Coding | 1070 | 1367 |
| BigCodeBench Instruct | 8.2% | — |
| BigCodeBench Complete | 11.3% | — |
Agentic & Tool Use Not comparable
Llama 3.2 1B: 14.6 (#150), Step 3: —
| Benchmark | Llama 3.2 1B | Step 3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |
Reasoning Step 3 leads
Llama 3.2 1B: 16.2 (#308), Step 3: 28.4 (#105)
| Benchmark | Llama 3.2 1B | Step 3 |
|---|---|---|
| LMArena Hard Prompts | 1044 | 1355 |
| Kagi LLM Benchmark | — | 62.3% |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 101.99 | — |
Math Step 3 leads
Llama 3.2 1B: 10.4 (#313), Step 3: 37.6 (#148)
| Benchmark | Llama 3.2 1B | Step 3 |
|---|---|---|
| LMArena Math | 1086 | 1366 |
| OTIS Mock AIME 2024-2025 | 0.6% | — |
Knowledge Step 3 leads
Llama 3.2 1B: 7.2 (#312), Step 3: 36.8 (#164)
| Benchmark | Llama 3.2 1B | Step 3 |
|---|---|---|
| LMArena Expert | 1007 | 1333 |
| GPQA Diamond | 23.9% | — |
Multimodal Not comparable
Llama 3.2 1B: —, Step 3: 35.5 (#86)
| Benchmark | Llama 3.2 1B | Step 3 |
|---|---|---|
| LMArena Vision | — | 1177 |
Multilingual Step 3 leads
Llama 3.2 1B: 23.8 (#292), Step 3: 46.3 (#159)
| Benchmark | Llama 3.2 1B | Step 3 |
|---|---|---|
| LMArena Non-English | 973 | 1327 |
| LMArena Chinese | 959 | 1397 |
| LMArena German | 1014 | 1371 |
| LMArena Russian | 941 | 1331 |
| LMArena Korean | — | 1269 |
| LMArena Spanish | — | 1371 |
Instruction Following Step 3 leads
Llama 3.2 1B: 52.4 (#290), Step 3: 70.4 (#164)
| Benchmark | Llama 3.2 1B | Step 3 |
|---|---|---|
| LMArena Instruction Following | 1031 | 1332 |
Long Context Step 3 leads
Llama 3.2 1B: 31.9 (#274), Step 3: 40.3 (#157)
| Benchmark | Llama 3.2 1B | Step 3 |
|---|---|---|
| LMArena Longer Query | 1050 | 1326 |
Writing & Preference Step 3 leads
Llama 3.2 1B: 21.3 (#310), Step 3: 54.3 (#151)
| Benchmark | Llama 3.2 1B | Step 3 |
|---|---|---|
| LMArena Text | 1055 | 1350 |
| LMArena Creative Writing | 1033 | 1321 |
| LMArena Multi-Turn | 1030 | 1341 |
| EQ-Bench Creative Writing | 200 | — |
Frequently asked questions
Is Llama 3.2 1B better than Step 3?
Step 3 is the stronger model overall, scoring 40.5 to 20.1 on the Noometry Index.
Is Llama 3.2 1B or Step 3 better for coding?
Step 3 scores higher on coding benchmarks: 40.1 versus 21.1 in the Noometry coding category.
How many benchmarks do Llama 3.2 1B and Step 3 share?
13 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Step 3 has 17.