Qwen
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Qwen3.8 Omni Flash

text+image+audio+video->text

Qwen3.8 Omni Flash is a compact variant, chosen for high throughput and low cost rather than absolute capability. Available via Qwen. 1,000,000-token context. Efficient pricing.

Qwen3.8 Omni Flash is a multimodal AI model from Qwen. It costs $0.150 per million input tokens and $0.470 per million output tokens (blended $0.246/M), with a 1,000,000-token context window.

INPUT
$0.150/M
per million input tokens
OUTPUT
$0.470/M
per million output tokens
BLENDED 70/30
$0.246/M
unchanged since 3 May
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 Qwen3.8 Omni Flash cost?

Qwen3.8 Omni Flash costs $0.150 per million input tokens and $0.470 per million output tokens, for a blended reference rate of $0.246 per million tokens.

What is Qwen3.8 Omni Flash's context window?

Qwen3.8 Omni Flash supports up to 1,000,000 tokens of context in a single request.

What is Qwen3.8 Omni Flash best for?

Qwen3.8 Omni Flash is well suited to Sub-second latency, Affordable at scale and Good for routing & classification.

Who makes Qwen3.8 Omni Flash?

Qwen3.8 Omni Flash is developed and served by Qwen.

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