Qwen3.8 Omni Flash

by Qwenqwen/qwen3.8-omni-flash

  • Text
  • No route yet
  • Released

LLMCompare cannot run Qwen3.8 Omni Flash yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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Qwen3.8 Omni Flash at a glance

Context length
1,000,000 tokens
Maximum output
131,072 tokens
Accepts
Text, Image, Audio, Video
Returns
Text
Features
JSON outputTool callingPrompt cachingImage input
Reasoning effort levels
Not supported
Released
21 Sep 2026
Knowledge cutoff
Not published

Model facts synced from the OpenRouter model list on 21 Oct 2026.

Qwen3.8 Omni Flash pricing by route

A route is the service LLMCompare calls to reach the model. Qwen3.8 Omni Flash has 1 route. Prices are in US dollars.

Prices of Qwen3.8 Omni Flash on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensCache readper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$0.15$0.47$0.016openrouter.ai/qwen/qwen3.8-omni-flash

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to Qwen3.8 Omni Flash costs. The starting numbers are examples. Change them to match your task.

Part of the input tokens above, billed at the cache read price.

Cost per call
$0.00039
1 credits
Cost of 100 calls
$0.0385
100 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of Qwen3.8 Omni Flash
ParameterTypeRange or optionsDefault
temperatureNumber0 to 2in steps of 0.1Provider default
top_pNumber0 to 1in steps of 0.05Provider default
max_tokensInteger1 to 131,072Provider default
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About Qwen3.8 Omni Flash

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...

Description as published for this model. LLMCompare has not edited it.

Models to compare with Qwen3.8 Omni Flash

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with Qwen3.8 Omni Flash
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
Qwen3.8 FlashQwenqwen/qwen3.8-flash1M131k$0.15$0.47JSONToolsCacheVisionNo route yet
Qwen3 30B A3BQwenqwen/qwen3-30b-a3b41k16.4k$0.12$0.50JSONToolsNo route yet
Qwen3 235B A22B Instruct 2507Qwenqwen/qwen3-235b-a22b-2507262k16.4k$0.09$0.55JSONToolsNo route yet
Claude Haiku 5.5Anthropicanthropic/claude-haiku-5.51M128k$0.10$0.50ReasoningJSONToolsCacheVisionNo route yet
GPT-6 Luna ProOpenAIopenai/gpt-6-luna-pro1.05M128k$0.10$0.50ReasoningJSONToolsCacheVisionNo route yet
GPT-6 LunaOpenAIopenai/gpt-6-luna1.05M128k$0.10$0.50ReasoningJSONToolsCacheVisionRunnable now

Questions about Qwen3.8 Omni Flash

How much does Qwen3.8 Omni Flash cost?
On the OpenRouter route, Qwen3.8 Omni Flash costs $0.15 per 1 million input tokens and $0.47 per 1 million output tokens, in US dollars. Input tokens that Qwen3.8 Omni Flash reads from the prompt cache cost $0.016 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
What is the context length of Qwen3.8 Omni Flash?
Qwen3.8 Omni Flash has a context length of 1,000,000 tokens and returns up to 131,072 output tokens in one call.
What inputs does Qwen3.8 Omni Flash accept?
Qwen3.8 Omni Flash accepts these inputs: Text, Image, Audio, Video. Qwen3.8 Omni Flash returns: Text.
Can I test Qwen3.8 Omni Flash on my own data?
Not yet. LLMCompare lists the prices and parameters of Qwen3.8 Omni Flash, but no route to Qwen3.8 Omni Flash is configured on LLMCompare, so it cannot be selected for an evaluation.