Qwen3.5-Omni Flash
Qwen3.5-Omni Flash is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.
Use it for
- Teams evaluating rag, agents, and long context
- Workloads that can use a 262k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Workloads where another current model has stronger sourced task evidence
- Family
- Qwen3.5-Omni
- Released
- 2026-03-30
- Context
- 262k
- Specialization
- general
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Weights
- Not released
- Code
- Unknown
- Training
- Pretrained
Cheapest of 1 route · Alibaba Cloud PAI-EAS
About
Qwen3.5-Omni Flash is Alibaba's lower-latency omnimodal API model, released March 30, 2026. It keeps the Qwen3.5-Omni text, image, audio, and video input surface while reducing cost and latency for short video analysis and high-throughput multimodal workloads. API model ID: qwen3.5-omni-flash.
Top use-case fit: coding, agents, and build tasks
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Alibaba Cloud PAI-EAS | $0.100 | $0.800 | Serverless |
Capabilities
Benchmark peer barsfor RAG
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Cheapest of 1 route · Alibaba Cloud PAI-EAS