Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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QwenMultimodalAUTO PROFILELIVE INDEX

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. 1M-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 1.0M-token context window.

Modalities text, vision, videoPricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$0.065/M
per million input tokens
OUTPUT
$0.260/M
per million output tokens
BLENDED 70/30
$0.123/M
default reference rate · how it's calculated →
CONTEXT
1.0M
1,000,000 tokens
What it's 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.
More from Qwen
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Qwen3.7-Max
Flagship · 1M ctx
in $2.500/Mout $7.500/M
Qwen3.7-Plus
Balanced · 1M ctx
in $0.400/Mout $1.600/M
Qwen2.5-Max
Flagship · 32K ctx
in $1.600/Mout $6.400/M
Qwen2.5-72B-Instruct
Large · 128K ctx
in $1.200/Mout $1.200/M
Qwen2.5-32B-Instruct
Balanced · 128K ctx
in $0.700/Mout $0.700/M
Qwen2.5-14B-Instruct
Small · 128K ctx
in $0.350/Mout $0.350/M
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 1.0M tokens of context (1,000,000 tokens).

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.