Qwen3.5 Omni Flash
Analysis Summary
Qwen3.5 Omni Flash is an Alibaba model aimed at lower-cost usage. The supplied results show moderate instruction following and long-context behaviour, alongside limited general reasoning, coding-related, and terminal performance. Tool-oriented performance is more useful than its coding evidence, but no explicit function-calling or modality details are supplied.
This makes it suitable for high-volume SEO drafting, summarisation, classification, rewriting, and first-pass content transformation. Its low listed input and output prices support routing routine calls away from premium models. It should not be the primary choice for complex strategy, autonomous software work, or unsupervised client delivery. Design for Online would use it as a volume tier with clear validation rules and escalation paths for difficult requests.
Assessed August 9, 2026
Editorial notes
Qwen3.5 Omni Flash combines low pricing with moderate instruction-following and long-context results, but its reasoning, coding, and terminal performance are limited. It fits high-volume drafting and classification with review.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.5 Omni Flash combines low pricing with moderate instruction-following and long-context results, but its reasoning, coding, and terminal performance are limited. It fits high-volume drafting and classification with review.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
19.2 Intelligence Index
How Qwen3.5 Omni Flash compares
Qwen3.5 Omni Flash ranks #184 of 427 AI models we track for overall intelligence. At $0.10 per million input tokens it is cheaper than 69% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.80 | $0.000800 |
What would Qwen3.5 Omni Flash cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 713 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen3.5 Omni Flash for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamFrequently asked questions about Qwen3.5 Omni Flash
How much does Qwen3.5 Omni Flash cost?
Qwen3.5 Omni Flash costs $0.10 per million input tokens and $0.80 per million output tokens.
Who created Qwen3.5 Omni Flash?
Qwen3.5 Omni Flash is developed by Alibaba and was released on March 30, 2026.