Model comparison
Llama 3.1-70B vs Step 3
Step 3 is the stronger model overall, scoring 40.5 to 29.6 on the Noometry Index.
Last verified . 15 shared benchmarks.
Meta
StepFunSummary
- They share 15 benchmarks with published results for both. Llama 3.1-70B scores higher in 0 categories and Step 3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Step 3 leads 37.6 to 13.5.
Side by side
| Llama 3.1-70B | Step 3 | |
|---|---|---|
| Provider | Meta | StepFun |
| Noometry Index | 29.6 | 40.5 |
| Released | 2024-07-23 | — |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 35 | 17 |
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Category by category
Coding Step 3 leads
Llama 3.1-70B: 30.3 (#296), Step 3: 40.1 (#147)
| Benchmark | Llama 3.1-70B | Step 3 |
|---|---|---|
| LMArena Coding | 1260 | 1367 |
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| BigCodeBench Complete | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3.1-70B: 25.1 (#112), Step 3: —
| Benchmark | Llama 3.1-70B | Step 3 |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |
Reasoning Step 3 leads
Llama 3.1-70B: 21.6 (#220), Step 3: 28.4 (#105)
| Benchmark | Llama 3.1-70B | Step 3 |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1355 |
| Kagi LLM Benchmark | — | 62.3% |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.92 | — |
Math Step 3 leads
Llama 3.1-70B: 13.5 (#304), Step 3: 37.6 (#148)
| Benchmark | Llama 3.1-70B | Step 3 |
|---|---|---|
| LMArena Math | 1252 | 1366 |
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| MATH Level 5 | 36.7% | — |
Knowledge Step 3 leads
Llama 3.1-70B: 24.2 (#269), Step 3: 36.8 (#164)
| Benchmark | Llama 3.1-70B | Step 3 |
|---|---|---|
| LMArena Expert | 1209 | 1333 |
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| MMLU | 80.1% | — |
Multimodal Not comparable
Llama 3.1-70B: —, Step 3: 35.5 (#86)
| Benchmark | Llama 3.1-70B | Step 3 |
|---|---|---|
| LMArena Vision | — | 1177 |
Multilingual Step 3 leads
Llama 3.1-70B: 38.8 (#225), Step 3: 46.3 (#159)
| Benchmark | Llama 3.1-70B | Step 3 |
|---|---|---|
| LMArena Non-English | 1219 | 1327 |
| LMArena Chinese | 1215 | 1397 |
| LMArena German | 1222 | 1371 |
| LMArena Korean | 1140 | 1269 |
| LMArena Russian | 1234 | 1331 |
| LMArena Spanish | 1253 | 1371 |
| LMArena French | 1261 | — |
| LMArena Japanese | 1132 | — |
Instruction Following Step 3 leads
Llama 3.1-70B: 65.3 (#223), Step 3: 70.4 (#164)
| Benchmark | Llama 3.1-70B | Step 3 |
|---|---|---|
| LMArena Instruction Following | 1231 | 1332 |
| IFEval | 82.1% | — |
Long Context Step 3 leads
Llama 3.1-70B: 37.6 (#214), Step 3: 40.3 (#157)
| Benchmark | Llama 3.1-70B | Step 3 |
|---|---|---|
| LMArena Longer Query | 1241 | 1326 |
Writing & Preference Step 3 leads
Llama 3.1-70B: 35.4 (#267), Step 3: 54.3 (#151)
| Benchmark | Llama 3.1-70B | Step 3 |
|---|---|---|
| LMArena Text | 1261 | 1350 |
| LMArena Creative Writing | 1232 | 1321 |
| LMArena Multi-Turn | 1256 | 1341 |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |
Frequently asked questions
Is Llama 3.1-70B better than Step 3?
Step 3 is the stronger model overall, scoring 40.5 to 29.6 on the Noometry Index.
Is Llama 3.1-70B or Step 3 better for coding?
Step 3 scores higher on coding benchmarks: 40.1 versus 30.3 in the Noometry coding category.
How many benchmarks do Llama 3.1-70B and Step 3 share?
15 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Step 3 has 17.