Model comparison
Qwen3 14B vs Step 2 16k Exp 202412
Step 2 16k Exp 202412 is the stronger model overall, scoring 39.2 to 35.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Step 2 16k Exp 202412 leads 25.9 to 18.5.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| Qwen3 14B | Step 2 16k Exp 202412 | |
|---|---|---|
| Provider | Alibaba (Qwen) | StepFun |
| Noometry Index | 35.5 | 39.2 |
| Released | 2025-04 | — |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.35 | — |
| Output $ / M tokens | $1.40 | — |
| Results tracked | 12 | 12 |
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Category by category
Coding Step 2 16k Exp 202412 leads
Qwen3 14B: 37.3 (#195), Step 2 16k Exp 202412: 38.5 (#174)
| Benchmark | Qwen3 14B | Step 2 16k Exp 202412 |
|---|---|---|
| SciCode | 31.6% | — |
| LMArena Coding | — | 1316 |
Agentic & Tool Use Not comparable
Qwen3 14B: 29.6 (#83), Step 2 16k Exp 202412: —
| Benchmark | Qwen3 14B | Step 2 16k Exp 202412 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41% | — |
Reasoning Step 2 16k Exp 202412 leads
Qwen3 14B: 18.5 (#280), Step 2 16k Exp 202412: 25.9 (#142)
| Benchmark | Qwen3 14B | Step 2 16k Exp 202412 |
|---|---|---|
| Kagi LLM Benchmark | 49.1% | — |
| CritPt | 0% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | — | 1299 |
| DTBench | 64% | — |
| LMCA | 18.2% | — |
| Epoch Capabilities Index | 138.23 | — |
Math Qwen3 14B leads
Qwen3 14B: 38.6 (#133), Step 2 16k Exp 202412: 36.3 (#169)
| Benchmark | Qwen3 14B | Step 2 16k Exp 202412 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.4% | — |
| LMArena Math | — | 1304 |
Knowledge Qwen3 14B leads
Qwen3 14B: 39.3 (#134), Step 2 16k Exp 202412: 35.2 (#187)
| Benchmark | Qwen3 14B | Step 2 16k Exp 202412 |
|---|---|---|
| GPQA Diamond | 63.8% | — |
| Vectara Hallucination Rate | 5.4% | — |
| LMArena Expert | — | 1279 |
Multilingual Not comparable
Qwen3 14B: —, Step 2 16k Exp 202412: 43.7 (#181)
| Benchmark | Qwen3 14B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Non-English | — | 1290 |
| LMArena Chinese | — | 1331 |
| LMArena Russian | — | 1324 |
Instruction Following Not comparable
Qwen3 14B: —, Step 2 16k Exp 202412: 67.9 (#192)
| Benchmark | Qwen3 14B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Instruction Following | — | 1287 |
Long Context Step 2 16k Exp 202412 leads
Qwen3 14B: 38.1 (#204), Step 2 16k Exp 202412: 39.7 (#170)
| Benchmark | Qwen3 14B | Step 2 16k Exp 202412 |
|---|---|---|
| Fiction.LiveBench | 62.5% | — |
| LMArena Longer Query | — | 1307 |
Writing & Preference Not comparable
Qwen3 14B: —, Step 2 16k Exp 202412: 52.3 (#173)
| Benchmark | Qwen3 14B | Step 2 16k Exp 202412 |
|---|---|---|
| LMArena Text | — | 1321 |
| LMArena Creative Writing | — | 1328 |
| LMArena Multi-Turn | — | 1292 |
Frequently asked questions
Is Qwen3 14B better than Step 2 16k Exp 202412?
Step 2 16k Exp 202412 is the stronger model overall, scoring 39.2 to 35.5 on the Noometry Index.
Is Qwen3 14B or Step 2 16k Exp 202412 better for coding?
Step 2 16k Exp 202412 scores higher on coding benchmarks: 38.5 versus 37.3 in the Noometry coding category.
How many benchmarks do Qwen3 14B and Step 2 16k Exp 202412 share?
0 benchmarks have published results for both models. Qwen3 14B has 12 scored results on Noometry and Step 2 16k Exp 202412 has 12.