Analysis Summary
Qwen3.5 Omni Flash is a lower-priced member of Alibaba's Qwen3.5 Omni line. The available measurements show limited overall reasoning and coding, with particularly weak long-context and terminal-task results. While the name suggests a broad product family, the supplied data does not specify supported modalities, context size, or tool calling, so those capabilities should not be assumed. Its listed prices are lower than those of the Omni Plus variant.
That price may make it worth testing for short, low-risk tasks where speed or cost is a priority, but no throughput figure is provided. It is not a good fit for long-document analysis, code-heavy work, or autonomous workflows based on the current results. For client-facing use, require evaluation against representative prompts and a stronger fallback for difficult cases. Confirm API features and actual latency before relying on it for a volume workload.
Assessed September 23, 2026
Editorial notes
Qwen3.5 Omni Flash is a lower-cost family variant with limited measured reasoning, coding, and long-context performance; the supplied data does not confirm modality or tool capabilities.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Qwen3.5 Omni Flash is a lower-cost family variant with limited measured reasoning, coding, and long-context performance; the supplied data does not confirm modality or tool capabilities.
Benchmarks
Artificial Analysis data refreshed Oct 23, 2026. Arena ratings from the Oct 20, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
Artificial Analysis has not published coding or agentic results for Qwen3.5 Omni Flash yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How Qwen3.5 Omni Flash compares
Qwen3.5 Omni Flash ranks #198 of 443 AI models we track for overall intelligence. At $0.10 per million input tokens it is cheaper than 65% 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.
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 718 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 teamExplore Related Models
Frequently 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.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 23, 2026 8:39 pm