Qwen3.8-Flash-Next vs Step 5 Preview
Verdict
- Step 5 Preview leads on quality: 65.0 vs 61.6.
- Qwen3.8-Flash-Next is stronger in agents & tools, coding, multimodal.
- Step 5 Preview is stronger in composite, knowledge, long context, reasoning.
- Qwen3.8-Flash-Next is 6.2× cheaper ($0.230 vs $1.43 per 1M blended).
| Metric | Qwen3.8-Flash-Next | Step 5 Preview |
|---|---|---|
| BenchLeader Index | 61.6 | 65.0 |
| Agents & tools score | 65.8 | – |
| Coding score | 71.2 | – |
| Composite score | 67.4 | 84.4 |
| Knowledge score | 59.6 | 72.0 |
| Long context score | 66.3 | 70.8 |
| Multimodal score | 64.3 | 60.8 |
| Reasoning score | 63.4 | 82.1 |
| Blended price $/M | $0.230 | $1.43 |
| Output speed | 55 tok/s | – |
| Time to first answer | 39.0 s | – |
| Context window | 256k | 1M |
| LMArena WebDev | 1635 | – |
| LMArena Agent | -0.1 | – |
| LiveBench | 76.2% | – |
| LiveBench Reasoning | 87.4% | – |
| LiveBench Coding | 72.5% | – |
| LiveBench Agentic Coding | 61.6% | – |
| LiveBench Mathematics | 85.8% | – |
| LiveBench Data Analysis | 74.2% | – |
| LiveBench Language | 74.6% | – |
| LiveBench Instruction Following | 77.1% | – |
| AA Intelligence Index | 39.9 | 43.6 |
| AA-LCR | 79.7% | 88.3% |
| MMMU-Pro | 79.8% | 76.4% |
| AA-Omniscience | -9.7 | 16.4 |
| GPQA Diamond (AA) | 92.3% | – |
| Humanity's Last Exam (AA) | 38.0% | 46.5% |
| SciCode (AA) | 50.6% | 58.9% |
| CritPt | 11.1% | 20.9% |
| GDPval (AA) | 57.4% | 53.6% |
| τ²-Bench Banking (AA) | 45.4% | – |
Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.
Qwen3.8-Flash-Next vs Step 5 Preview: questions
- Is Qwen3.8-Flash-Next better than Step 5 Preview?
- Step 5 Preview leads on quality: 65.0 vs 61.6. The BenchLeader Index combines every independent quality benchmark; Step 5 Preview is ahead overall as of 2026-09-19, but check the category scores for your use.
- Which is cheaper, Qwen3.8-Flash-Next or Step 5 Preview?
- Qwen3.8-Flash-Next is cheaper: $0.230 against $1.43 per million tokens, blended at three input tokens per output token.
- Which has the larger context window?
- Step 5 Preview accepts more context: 1M against 256k tokens.