Qwen3.8 Omni Flash is out: what it costs and how to try it

In brief

Qwen3.8 Omni Flash is a Qwen model released on September 21, 2026. You can use it in Whizi today at 1 credit per message on the Powerhouse plan and above, next to 280 plus other models on one login. List rates are $0.15 per million input tokens and $0.47 per million output tokens, with a 1M token context window.

What Qwen3.8 Omni Flash is

Qwen3.8 Omni Flash is a Qwen model that went live on OpenRouter on September 21, 2026. It is the first Qwen model of its line in the Whizi catalogue, so there is no earlier version to compare it with.

ReleasedSeptember 21, 2026
ProviderQwen
Context window1M tokens
Input, per million tokens$0.15
Output, per million tokens$0.47
Credits per message in Whizi1
Minimum Whizi planPowerhouse

How to try Qwen3.8 Omni Flash in Whizi

Whizi puts Qwen3.8 Omni Flash in the same model picker as ChatGPT, Claude and Gemini, so there is no separate Qwen account or API key to set up. Pick a plan on the pricing page, open a new chat, choose Qwen3.8 Omni Flash in the model picker and send your first message.

Each message costs 1 credit, whatever its length. If a question turns out to suit another model better, switch in the same conversation and the thread carries across. See switching models mid-conversation.

What Qwen3.8 Omni Flash costs

List rates are what the provider charges per token. The cost of one standard answer is the more useful number, because it prices the same unit of work across every model regardless of how each one is billed.

Input, per million tokens$0.15
Output, per million tokens$0.47
One standard answer$0.0004
One thousand answers$0.3850
Context window1M tokens
Credits per message in Whizi1
Minimum Whizi planPowerhouse
Rank by cost, of 113 priced models20

Prices are the published Qwen rates as carried by OpenRouter, last refreshed 2026-09-26. The full dataset covering all 124 models from 33 providers is the AI model cost index, which is free to reuse with attribution.

What it costs inside Whizi

Whizi meters messages in credits rather than tokens, and Qwen3.8 Omni Flash is charged at 1 credit per message. The cost does not change with the length of your message or the length of the answer, so a one line question and a long document analysis cost the same.

PlanPrice per monthMonthly creditsMessages on this model
Powerhouse$49.99, or $34.99 billed yearly8,0008,000

Qwen3.8 Omni Flash is part of the Powerhouse catalogue. Anything not explicitly listed on the Starter or Pro tiers resolves to Powerhouse, which is the deliberate default for the frontier and specialist models. See plans and limits.

Workflow checklist
  • Input $0.15 and output $0.47 per million tokens
  • $0.0004 for one standard answer, $0.3850 for a thousand
  • 1M token context window
  • 1 credit per message inside Whizi
  • Requires the Powerhouse plan or above
  • Ranks 20 of 113 priced models by cost per answer
Common questions

Frequently asked questions

What is Qwen3.8 Omni Flash?

Qwen3.8 Omni Flash is a Qwen model released on September 21, 2026, with a 1M token context window. It is the first Qwen model of its line in the Whizi catalogue, so there is no earlier version to compare it with.

How do I use Qwen3.8 Omni Flash?

Sign up for Whizi, open a new chat and choose Qwen3.8 Omni Flash in the model picker. It is available on the Powerhouse plan and above at 1 credit per message, with no Qwen account or API key needed.

How much does Qwen3.8 Omni Flash cost?

$0.15 per million input tokens and $0.47 per million output tokens at list rates, which works out to $0.0004 for one standard answer of 1,000 tokens in and 500 out, or $0.3850 for a thousand of them. Inside Whizi it is 1 credit per message on a monthly allowance, rather than metered per token.

Which Whizi plan includes Qwen3.8 Omni Flash?

Powerhouse and above, which is $49.99 per month or $34.99 billed yearly. At 1 credits per message, a Powerhouse allowance of 8,000 credits covers 8,000 messages on this model if you spend the whole allowance here, and most people mix in a 1 credit model for routine work so it goes further.