Qwen3.5-Flash
text+image+video->text
Qwen3.5-Flash is a compact variant, chosen for high throughput and low cost rather than absolute capability. Available via Qwen. 1,000,000-token context. Budget pricing.
Qwen3.5-Flash is a multimodal AI model from Qwen. It costs $0.065 per million input tokens and $0.260 per million output tokens (blended $0.123/M), with a 1,000,000-token context window.
INPUT
$0.065/M
per million input tokens
OUTPUT
$0.260/M
per million output tokens
CONTEXT
1,000,000
tokens
What it is good at
- Sub-second latency
- Affordable at scale
- Good for routing & classification
- Multimodal: handles images alongside text
Typical use cases
- Routing & classification
- Bulk summarisation
- Realtime chat UX
Benchmarks
No published benchmark scores tracked for this model yet. Frontier and reasoning models from major providers have scores; smaller models and inference-host variants typically inherit the underlying open-weights score.
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Frequently asked questions
How much does Qwen3.5-Flash cost?
Qwen3.5-Flash costs $0.065 per million input tokens and $0.260 per million output tokens, for a blended reference rate of $0.123 per million tokens.
What is Qwen3.5-Flash's context window?
Qwen3.5-Flash supports up to 1,000,000 tokens of context in a single request.
What is Qwen3.5-Flash best for?
Qwen3.5-Flash is well suited to Sub-second latency, Affordable at scale and Good for routing & classification.
Who makes Qwen3.5-Flash?
Qwen3.5-Flash is developed and served by Qwen.