Pyyan / Compare / Qwen3.8-Omni-Flash vs GPT-6.1 Sol
Qwen3.8-Omni-Flash vs GPT-6.1 Sol
2 of 5Language Models · verified 1 Oct 2026
Qwen3.8-Omni-FlashAlibabacurrent
GPT-6.1 SolOpenAIcurrent| Specification | Qwen3.8-Omni-Flash | GPT-6.1 Sol |
|---|---|---|
| Summary | Text, image, audio and video into one million tokens of context. | Astra's score on DeepSWE, at a fifth of Astra's cost. |
| Context | 1M | 1.05M |
| Input ($/Mtok) | $0.15 | $2 |
| Output ($/Mtok) | $0.47 | $10 |
| Licence | Proprietary | Proprietary |
| Max output | Not published | 128K |
| Parameters | Not published | Not published |
| Released | 18 Sep 2026 | 29 Sep 2026 |
| Model ID | qwen3.8-omni-flash | gpt-6.1-sol |
| Category | Language Models | Language Models |
| Official | Alibaba ↗ | OpenAI ↗ |
Highlighted rows are where these differ.
Qwen3.8-Omni-Flash
- Takes text, images, audio and video in one pass and returns text
- Alibaba reports more than 26% average gain over Qwen3.5-Omni-Plus across 30 evaluations
- No weights published, which is a change of habit for this team
Best for audio and video agents.
GPT-6.1 Sol
- Matches GPT-6 Astra on DeepSWE v1.1 at roughly a fifth of the cost
- $5.47 per Terminal-Bench Science task against $23.80 for Astra
- Above 272K tokens a prompt bills at 2x input and 1.5x output for the whole request
Best for coding and agent work at volume.