Model comparison
Qwen2.5 7B Instruct vs Step 2 16k Exp 202412
Step 2 16k Exp 202412 is the stronger model overall, scoring 39.2 to 29.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)
StepFunSummary
- The widest gap is in math, where Step 2 16k Exp 202412 leads 36.3 to 12.6.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| Qwen2.5 7B Instruct | Step 2 16k Exp 202412 | |
|---|---|---|
| Provider | Alibaba (Qwen) | StepFun |
| Noometry Index | 29.0 | 39.2 |
| Released | 2024-09 | — |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.17 | — |
| Output $ / M tokens | $0.70 | — |
| Results tracked | 15 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Step 2 16k Exp 202412 leads
Qwen2.5 7B Instruct: 36.5 (#208), Step 2 16k Exp 202412: 38.5 (#174)
| Benchmark | Qwen2.5 7B Instruct | Step 2 16k Exp 202412 |
|---|---|---|
| BigCodeBench Instruct | 37.6% | — |
| LMArena Coding | — | 1316 |
| BigCodeBench Complete | 46.1% | — |
Agentic & Tool Use Not comparable
Qwen2.5 7B Instruct: 23.8 (#124), Step 2 16k Exp 202412: —
| Benchmark | Qwen2.5 7B Instruct | Step 2 16k Exp 202412 |
|---|---|---|
| BALROG | 7.8% | — |
Reasoning Step 2 16k Exp 202412 leads
Qwen2.5 7B Instruct: 14.8 (#322), Step 2 16k Exp 202412: 25.9 (#142)
| Benchmark | Qwen2.5 7B Instruct | Step 2 16k Exp 202412 |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | — | 1299 |
| DTBench | 47.7% | — |
| LMCA | 6.4% | — |
| Epoch Capabilities Index | 118.51 | — |
Math Step 2 16k Exp 202412 leads
Qwen2.5 7B Instruct: 12.6 (#306), Step 2 16k Exp 202412: 36.3 (#169)
| Benchmark | Qwen2.5 7B Instruct | Step 2 16k Exp 202412 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.5% | — |
| Omni-MATH | 29.4% | — |
| LMArena Math | — | 1304 |
Knowledge Step 2 16k Exp 202412 leads
Qwen2.5 7B Instruct: 17.0 (#286), Step 2 16k Exp 202412: 35.2 (#187)
| Benchmark | Qwen2.5 7B Instruct | Step 2 16k Exp 202412 |
|---|---|---|
| GPQA Diamond | 35.5% | — |
| MMLU-Pro | 53.9% | — |
| GPQA (HELM) | 34.1% | — |
| LMArena Expert | — | 1279 |
| MMLU | 72.9% | — |
Multilingual Not comparable
Qwen2.5 7B Instruct: —, Step 2 16k Exp 202412: 43.7 (#181)
| Benchmark | Qwen2.5 7B Instruct | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Non-English | — | 1290 |
| LMArena Chinese | — | 1331 |
| LMArena Russian | — | 1324 |
Instruction Following Step 2 16k Exp 202412 leads
Qwen2.5 7B Instruct: 63.2 (#231), Step 2 16k Exp 202412: 67.9 (#192)
| Benchmark | Qwen2.5 7B Instruct | Step 2 16k Exp 202412 |
|---|---|---|
| IFEval | 74.1% | — |
| LMArena Instruction Following | — | 1287 |
Long Context Not comparable
Qwen2.5 7B Instruct: —, Step 2 16k Exp 202412: 39.7 (#170)
| Benchmark | Qwen2.5 7B Instruct | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Longer Query | — | 1307 |
Writing & Preference Step 2 16k Exp 202412 leads
Qwen2.5 7B Instruct: 48.8 (#195), Step 2 16k Exp 202412: 52.3 (#173)
| Benchmark | Qwen2.5 7B Instruct | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Text | — | 1321 |
| LMArena Creative Writing | — | 1328 |
| WildBench | 73.1% | — |
| LMArena Multi-Turn | — | 1292 |
Frequently asked questions
Is Qwen2.5 7B Instruct better than Step 2 16k Exp 202412?
Step 2 16k Exp 202412 is the stronger model overall, scoring 39.2 to 29.0 on the Noometry Index.
Is Qwen2.5 7B Instruct or Step 2 16k Exp 202412 better for coding?
Step 2 16k Exp 202412 scores higher on coding benchmarks: 38.5 versus 36.5 in the Noometry coding category.
How many benchmarks do Qwen2.5 7B Instruct and Step 2 16k Exp 202412 share?
0 benchmarks have published results for both models. Qwen2.5 7B Instruct has 15 scored results on Noometry and Step 2 16k Exp 202412 has 12.