Capabilities
7-day heat trend
−31.0%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 38% of tracked models
- Faster than 64% of tracked models
- Efficiency rank: #18 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About qwen3.5-flash-02-23
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared t...
qwen3.5-flash-02-23 is a Multimodal model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.07 per 1M input tokens and $0.26 per 1M output tokens, with a 1000K-token context window, ~155 tokens/sec throughput and 100.0% availability. Its composite efficiency score is 96/100 at an estimated $0.000 per successful task.
Compare qwen3.5-flash-02-23
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Frequently asked questions
How much does qwen3.5-flash-02-23 cost per 1M tokens?+
qwen3.5-flash-02-23 is tracked at $0.07 per 1M input tokens and $0.26 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.21 per 1M tokens. Figures are illustrative demo data.
What is qwen3.5-flash-02-23 best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is qwen3.5-flash-02-23?+
qwen3.5-flash-02-23 delivers about 155 tokens/sec with 100.0% tracked availability, suitable for latency-sensitive, real-time applications.
Is qwen3.5-flash-02-23 cheaper than other AI models?+
Within the HotON.ai tracked set, qwen3.5-flash-02-23 is cheaper than 38% of models on input price and ranks #18 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.