Model comparison
Qwen2-72B vs Step 3
Step 3 is the stronger model overall, scoring 40.5 to 30.0 on the Noometry Index.
Last verified . 15 shared benchmarks.
Alibaba (Qwen)
StepFunSummary
- They share 15 benchmarks with published results for both. Qwen2-72B scores higher in 0 categories and Step 3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Step 3 leads 36.8 to 21.2.
Side by side
| Qwen2-72B | Step 3 | |
|---|---|---|
| Provider | Alibaba (Qwen) | StepFun |
| Noometry Index | 30.0 | 40.5 |
| Released | 2024-06-07 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 26 | 17 |
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Category by category
Coding Step 3 leads
Qwen2-72B: 29.1 (#310), Step 3: 40.1 (#147)
| Benchmark | Qwen2-72B | Step 3 |
|---|---|---|
| LMArena Coding | 1196 | 1367 |
| WeirdML | 11.3% | — |
| BigCodeBench Instruct | 38.5% | — |
| BigCodeBench Complete | 54% | — |
Agentic & Tool Use Not comparable
Qwen2-72B: 17.0 (#146), Step 3: —
| Benchmark | Qwen2-72B | Step 3 |
|---|---|---|
| TheAgentCompany | 1.1% | — |
| METR Time Horizons | 29.9% | — |
Reasoning Step 3 leads
Qwen2-72B: 23.2 (#181), Step 3: 28.4 (#105)
| Benchmark | Qwen2-72B | Step 3 |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1355 |
| Kagi LLM Benchmark | — | 62.3% |
| Epoch Capabilities Index | 125.28 | — |
Math Step 3 leads
Qwen2-72B: 30.2 (#236), Step 3: 37.6 (#148)
| Benchmark | Qwen2-72B | Step 3 |
|---|---|---|
| LMArena Math | 1235 | 1366 |
| MATH Level 5 | 39.1% | — |
Knowledge Step 3 leads
Qwen2-72B: 21.2 (#275), Step 3: 36.8 (#164)
| Benchmark | Qwen2-72B | Step 3 |
|---|---|---|
| LMArena Expert | 1171 | 1333 |
| GPQA Diamond | 40.8% | — |
| MMLU | 82.4% | — |
Multimodal Not comparable
Qwen2-72B: —, Step 3: 35.5 (#86)
| Benchmark | Qwen2-72B | Step 3 |
|---|---|---|
| LMArena Vision | — | 1177 |
Multilingual Step 3 leads
Qwen2-72B: 35.9 (#244), Step 3: 46.3 (#159)
| Benchmark | Qwen2-72B | Step 3 |
|---|---|---|
| LMArena Non-English | 1176 | 1327 |
| LMArena Chinese | 1240 | 1397 |
| LMArena German | 1151 | 1371 |
| LMArena Korean | 1083 | 1269 |
| LMArena Russian | 1169 | 1331 |
| LMArena Spanish | 1169 | 1371 |
| LMArena French | 1170 | — |
| LMArena Japanese | 1111 | — |
Instruction Following Step 3 leads
Qwen2-72B: 61.7 (#241), Step 3: 70.4 (#164)
| Benchmark | Qwen2-72B | Step 3 |
|---|---|---|
| LMArena Instruction Following | 1181 | 1332 |
Long Context Step 3 leads
Qwen2-72B: 36.1 (#235), Step 3: 40.3 (#157)
| Benchmark | Qwen2-72B | Step 3 |
|---|---|---|
| LMArena Longer Query | 1192 | 1326 |
Writing & Preference Step 3 leads
Qwen2-72B: 40.8 (#241), Step 3: 54.3 (#151)
| Benchmark | Qwen2-72B | Step 3 |
|---|---|---|
| LMArena Text | 1203 | 1350 |
| LMArena Creative Writing | 1181 | 1321 |
| LMArena Multi-Turn | 1196 | 1341 |
Frequently asked questions
Is Qwen2-72B better than Step 3?
Step 3 is the stronger model overall, scoring 40.5 to 30.0 on the Noometry Index.
Is Qwen2-72B or Step 3 better for coding?
Step 3 scores higher on coding benchmarks: 40.1 versus 29.1 in the Noometry coding category.
How many benchmarks do Qwen2-72B and Step 3 share?
15 benchmarks have published results for both models. Qwen2-72B has 26 scored results on Noometry and Step 3 has 17.