Model comparison
Llama 3-8B vs Step 2 16k Exp 202412
Step 2 16k Exp 202412 is the stronger model overall, scoring 38.6 to 25.3 on the Noometry Index.
Last verified . 12 shared benchmarks.
Meta
StepFunSummary
- They share 12 benchmarks with published results for both. Llama 3-8B 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 34.6 to 7.8.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3-8B | Step 2 16k Exp 202412 | |
|---|---|---|
| Provider | Meta | StepFun |
| Noometry Index | 25.3 | 38.6 |
| Released | 2024-04-18 | — |
| Weights | Open | Proprietary |
| Context window | 8K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.14 | — |
| Output $ / M tokens | $0.14 | — |
| Results tracked | 34 | 12 |
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Category by category
Coding Step 2 16k Exp 202412 leads
Llama 3-8B: 30.5 (#285), Step 2 16k Exp 202412: 37.9 (#170)
| Benchmark | Llama 3-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Coding | 1152 | 1316 |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Step 2 16k Exp 202412 leads
Llama 3-8B: 13.8 (#321), Step 2 16k Exp 202412: 24.8 (#140)
| Benchmark | Llama 3-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1299 |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.33 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Step 2 16k Exp 202412 leads
Llama 3-8B: 8.3 (#317), Step 2 16k Exp 202412: 33.6 (#171)
| Benchmark | Llama 3-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Math | 1151 | 1305 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| MATH Level 5 | 6.1% | — |
Knowledge Step 2 16k Exp 202412 leads
Llama 3-8B: 7.8 (#303), Step 2 16k Exp 202412: 34.6 (#187)
| Benchmark | Llama 3-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Expert | 1113 | 1279 |
| GPQA Diamond | 26.1% | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Step 2 16k Exp 202412 leads
Llama 3-8B: 31.0 (#256), Step 2 16k Exp 202412: 43.9 (#176)
| Benchmark | Llama 3-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Non-English | 1098 | 1290 |
| LMArena Chinese | 1076 | 1331 |
| LMArena Russian | 1109 | 1324 |
| LMArena French | 1158 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1003 | — |
| LMArena Spanish | 1172 | — |
Instruction Following Step 2 16k Exp 202412 leads
Llama 3-8B: 58.7 (#255), Step 2 16k Exp 202412: 68.1 (#187)
| Benchmark | Llama 3-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Instruction Following | 1127 | 1287 |
Long Context Step 2 16k Exp 202412 leads
Llama 3-8B: 34.2 (#246), Step 2 16k Exp 202412: 39.7 (#165)
| Benchmark | Llama 3-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Longer Query | 1128 | 1307 |
Writing & Preference Step 2 16k Exp 202412 leads
Llama 3-8B: 37.7 (#251), Step 2 16k Exp 202412: 52.5 (#168)
| Benchmark | Llama 3-8B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Text | 1166 | 1321 |
| LMArena Creative Writing | 1150 | 1328 |
| LMArena Multi-Turn | 1152 | 1292 |
Frequently asked questions
Is Llama 3-8B better than Step 2 16k Exp 202412?
Step 2 16k Exp 202412 is the stronger model overall, scoring 38.6 to 25.3 on the Noometry Index.
Is Llama 3-8B or Step 2 16k Exp 202412 better for coding?
Step 2 16k Exp 202412 scores higher on coding benchmarks: 37.9 versus 30.5 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Step 2 16k Exp 202412 share?
12 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Step 2 16k Exp 202412 has 12.