Qwen3 Coder Next vs Qwen 3.8 Omni Flash
Lower and Larger mark one number at a time; they don’t rank the models. How well a model does depends on your task; see Benchmarks for measured results.
| Detail | Qwen3 Coder Nextalibaba/qwen3-coder-next | Qwen 3.8 Omni Flashalibaba/qwen3.8-omni-flash |
|---|---|---|
| Maker | alibaba | alibaba |
| Kind | Chat | Chat |
| Input per 1M tokens | $0.525 | $0.1575 Lower |
| Cached input per 1M tokens | Not applicable | $0.0168 |
| Cache write per 1M tokens | Not applicable | Same as input |
| Output per 1M tokens | $1.26 | $0.4935 Lower |
| Context window | 256,000 tokens | 1,000,000 tokens Larger |
| Max output | 256,000 tokens Larger | 131,072 tokens |
| Capabilities | Tool use | Reasoning, tool use, vision |
| Takes | Text | Text, image |
| Returns | Text | Text |
| Zero data retention | Yes, on every provider | Yes, on every provider |
| No training on requests | Yes, on every provider | Yes, on every provider |
| Released | 2025-07-22 | 2026-09-17 |
Example costs
Example requests, priced at today’s rates with no cached input.
| Example request | Qwen3 Coder Next | Qwen 3.8 Omni Flash |
|---|---|---|
| 1,000 tokens in, 200 out | $0.000777 | $0.000256 |
| 10,000 tokens in, 1,000 out | $0.00651 | $0.002069 |
| 100,000 tokens in, 4,000 out | $0.05754 | $0.017724 |