Model comparison
Llama 3.1-8B vs Step 2 16k Exp 202412
Step 2 16k Exp 202412 is the stronger model overall, scoring 39.2 to 23.0 on the Noometry Index.
Last verified . 12 shared benchmarks.
Meta
StepFunSummary
- They share 12 benchmarks with published results for both. Llama 3.1-8B scores higher in 0 categories and Step 2 16k Exp 202412 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Step 2 16k Exp 202412 leads 35.2 to 8.0.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1-8B | Step 2 16k Exp 202412 | |
|---|---|---|
| Provider | Meta | StepFun |
| Noometry Index | 23.0 | 39.2 |
| Released | 2024-07-23 | — |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.08 | — |
| Results tracked | 43 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Step 2 16k Exp 202412 leads
Llama 3.1-8B: 20.2 (#340), Step 2 16k Exp 202412: 38.5 (#174)
| Benchmark | Llama 3.1-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Coding | 1195 | 1316 |
| SciCode | 13.2% | — |
| WeirdML | 1.7% | — |
| BigCodeBench Instruct | 32.8% | — |
| BigCodeBench Complete | 40.5% | — |
| HumanEval+ | 62.8% | — |
| MBPP+ | 55.6% | — |
Agentic & Tool Use Not comparable
Llama 3.1-8B: 22.5 (#131), Step 2 16k Exp 202412: —
| Benchmark | Llama 3.1-8B | Step 2 16k Exp 202412 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25.8% | — |
| BALROG | 15.1% | — |
Reasoning Step 2 16k Exp 202412 leads
Llama 3.1-8B: 14.9 (#321), Step 2 16k Exp 202412: 25.9 (#142)
| Benchmark | Llama 3.1-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Hard Prompts | 1175 | 1299 |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 5.4% | — |
| Epoch Capabilities Index | 116.57 | — |
| PIQA | 81.2% | — |
Math Step 2 16k Exp 202412 leads
Llama 3.1-8B: 10.2 (#317), Step 2 16k Exp 202412: 36.3 (#169)
| Benchmark | Llama 3.1-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Math | 1179 | 1304 |
| OTIS Mock AIME 2024-2025 | 1.7% | — |
| Omni-MATH | 13.7% | — |
| MATH Level 5 | 22.9% | — |
| GSM8K | 82.4% | — |
Knowledge Step 2 16k Exp 202412 leads
Llama 3.1-8B: 8.0 (#307), Step 2 16k Exp 202412: 35.2 (#187)
| Benchmark | Llama 3.1-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Expert | 1144 | 1279 |
| GPQA Diamond | 27% | — |
| MMLU-Pro | 40.6% | — |
| GPQA (HELM) | 24.7% | — |
| BoolQ | 82.8% | — |
| MMLU | 56.1% | — |
Multilingual Step 2 16k Exp 202412 leads
Llama 3.1-8B: 34.0 (#249), Step 2 16k Exp 202412: 43.7 (#181)
| Benchmark | Llama 3.1-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Non-English | 1148 | 1290 |
| LMArena Chinese | 1151 | 1331 |
| LMArena Russian | 1158 | 1324 |
| LMArena French | 1177 | — |
| LMArena German | 1144 | — |
| LMArena Japanese | 1061 | — |
| LMArena Korean | 1053 | — |
| LMArena Spanish | 1169 | — |
Instruction Following Step 2 16k Exp 202412 leads
Llama 3.1-8B: 58.9 (#258), Step 2 16k Exp 202412: 67.9 (#192)
| Benchmark | Llama 3.1-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Instruction Following | 1159 | 1287 |
| IFEval | 74.3% | — |
Long Context Step 2 16k Exp 202412 leads
Llama 3.1-8B: 35.8 (#238), Step 2 16k Exp 202412: 39.7 (#170)
| Benchmark | Llama 3.1-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Longer Query | 1182 | 1307 |
Writing & Preference Step 2 16k Exp 202412 leads
Llama 3.1-8B: 29.7 (#290), Step 2 16k Exp 202412: 52.3 (#173)
| Benchmark | Llama 3.1-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Text | 1187 | 1321 |
| LMArena Creative Writing | 1154 | 1328 |
| LMArena Multi-Turn | 1172 | 1292 |
| EQ-Bench Creative Writing | 713 | — |
| WildBench | 68.7% | — |
Frequently asked questions
Is Llama 3.1-8B better than Step 2 16k Exp 202412?
Step 2 16k Exp 202412 is the stronger model overall, scoring 39.2 to 23.0 on the Noometry Index.
Is Llama 3.1-8B or Step 2 16k Exp 202412 better for coding?
Step 2 16k Exp 202412 scores higher on coding benchmarks: 38.5 versus 20.2 in the Noometry coding category.
How many benchmarks do Llama 3.1-8B and Step 2 16k Exp 202412 share?
12 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Step 2 16k Exp 202412 has 12.