Qwen · Model
Qwen3.8 Omni Flash pricing, context window and specs
Qwen3.8 Omni Flash costs $0.15 per million input tokens and $0.47 per million output tokens, and reads up to 1,000,000 tokens per request. By blended price it is number 3 of Qwen’s 13 current models here, counting from the cheapest.
- Input / 1M
- $0.15
- Output / 1M
- $0.47
- Cached / 1M
- $0.016
- Context
- 1,000,000
- Max output
- 131,072
- Released
- 2026-09-21
Estimate your cost with Qwen3.8 Omni FlashCompare all Qwen modelsCount tokens for Qwen3.8 Omni Flash
Pricing
Qwen3.8 Omni Flash API pricing
| Price per 1M tokens | Input | Output |
|---|---|---|
| Standard | $0.15 | $0.47 |
| Cached input (read) | $0.016 | – |
Output costs 3.1× the input price, so long replies drive the bill more than long prompts. If your requests share a long fixed prefix, such as a system prompt or tool definitions, caching cuts that part to 11% of the normal input price.
Examples
What Qwen3.8 Omni Flash costs in practice
| Workload | Tokens in / out | Requests/day | Per request | Per month |
|---|---|---|---|---|
| Support chatbot50% cached | 1,500 / 400 | 1,000 | $0.000312 | $9.51 |
| RAG app20% cached | 6,000 / 500 | 500 | $0.000974 | $14.82 |
| Coding agent80% cached | 40,000 / 2,000 | 200 | $0.00265 | $16.13 |
| Document summariser | 8,000 / 600 | 300 | $0.00148 | $13.52 |
Change any number in the cost calculator.
Context
Context window
Qwen3.8 Omni Flash accepts up to 1,000,000 tokens per request, roughly 750,000 English words or 1,500 pages. That budget is shared between your prompt and the reply, and a single reply is capped at 131,072 tokens.
Filling the whole window with one prompt costs about $0.15 at list price, so for repeated long-document work, retrieval (sending only the relevant parts) or prompt caching is usually much cheaper.
Features
Capabilities
- Image input
- Yes
- Tool / function calling
- Yes
- Reasoning mode
- Yes
- Prompt caching
- Yes
- Structured output
- Yes
- Open weights
- No
- Accepts
- text, image, audio, video
- Knowledge cutoff
- Not published
As declared by the provider’s API. It shows a feature exists, not how well it works.
API
Qwen3.8 Omni Flash model ID
- OpenRouter
qwen/qwen3.8-omni-flash
Use the OpenRouter ID when calling it through OpenRouter; Qwen’s own API may name it differently. See the model ID reference for the providers we document.
Qwen
Where Qwen3.8 Omni Flash sits in Qwen’s line-up
Ranked by blended price (three parts input to one part output, $0.23 per 1M for Qwen3.8 Omni Flash), it is number 3 of Qwen’s 13 current models here, counting from the cheapest. One step down, Qwen3.8 Flash costs $0.23 blended, the same. Unlike Qwen3.8 Omni Flash, it doesn’t accept audio and has open weights. One step up, Qwen3 Coder Next costs $0.29 (1.3× as much). Unlike Qwen3.8 Omni Flash, it doesn’t accept images, audio or video, reads up to 262,144 tokens (1,000,000 here) and has no reasoning mode. See every Qwen model and price
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Qwen3.5-9B | $0.10 | $0.15 | 256,000 | 2026-03-10 |
| Qwen3.8 Flash | $0.15 | $0.47 | 1,000,000 | 2026-08-26 |
| Qwen3.8 Omni Flash (this page) | $0.15 | $0.47 | 1,000,000 | 2026-09-21 |
| Qwen3 Coder Next | $0.12 | $0.80 | 262,144 | 2026-02-04 |
| Qwen3.6 35B A3B | $0.10 | $0.95 | 262,144 | 2026-04-27 |
| Qwen3 VL 8B Instruct | $0.25 | $0.75 | 262,144 | 2025-10-14 |
| Qwen3.7 Plus | $0.32 | $1.28 | 1,000,000 | 2026-06-03 |
| Qwen3.5-122B-A10B | $0.26 | $2.08 | 262,144 | 2026-02-25 |
| Qwen3.6 27B | $0.32 | $3.20 | 262,144 | 2026-04-27 |
| Qwen3.5 397B A17B | $0.55 | $3.50 | 262,144 | 2026-02-16 |
| Qwen3.8 2.4T A95B | $2 | $6 | 1,048,576 | 2026-08-12 |
| Qwen3.8 Max (0902) | $2 | $6 | 1,000,000 | 2026-09-03 |
| Qwen3.8 Max Prime | $4 | $12 | 1,000,000 | 2026-09-23 |
Qwen’s current models with a page here, cheapest first. Older and superseded models are listed on the provider page and in the comparison table.
Save
Cheaper alternatives
- Qwen3.5-9BQwen51% cheaper
- Seed 1.6 FlashByteDance Seed43% cheaper
- GPT-6 LunaOpenAI13% cheaper
- Claude Haiku 5.5Anthropic13% cheaper
Current models from major providers, one per provider, that keep image input, tool calling, a reasoning mode, a usable context window and output limit. Compared by blended price.
Compare
Similarly priced models
- GLM 5.3 FlashZ.ai$0.15 / $0.50
- DeepSeek V4 Pro 0423DeepSeek$0.2088 / $0.4176
- Mistral Small 4Mistral$0.15 / $0.60
- GPT-6 LunaOpenAI$0.10 / $0.50
- Claude Haiku 5.5Anthropic$0.10 / $0.50
Current models from other major providers, closest blended price.
FAQ
Qwen3.8 Omni Flash questions
How much does Qwen3.8 Omni Flash cost?
Qwen3.8 Omni Flash costs $0.15 per million input tokens and $0.47 per million output tokens, with cached input at $0.016. A typical chatbot reply (1,500 tokens in, 400 out) costs about $0.000413. Use the LLM cost calculator for your own workload.
What is Qwen3.8 Omni Flash’s context window?
1,000,000 tokens, about 750,000 English words or 1,500 printed pages, shared between your prompt and the reply. A single reply can be up to 131,072 tokens.
Does Qwen3.8 Omni Flash support prompt caching and batch requests?
Yes, cached input is billed at $0.016 per million tokens (11% of the normal input price). No batch price is published for it.
What are cheaper alternatives to Qwen3.8 Omni Flash?
With the same essentials (image input and tool calling), the cheapest options are Qwen3.5-9B (51% cheaper), Seed 1.6 Flash (43% cheaper), GPT-6 Luna (13% cheaper). Cheaper doesn’t mean equivalent, so test them on your own prompts.
What is the API model ID for Qwen3.8 Omni Flash?
On OpenRouter it is qwen/qwen3.8-omni-flash. Qwen’s own API may use a different name, so check its model list before you deploy. Pass the ID as the model value in each request.
Is Qwen3.8 Omni Flash open source?
No, Qwen3.8 Omni Flash is only available through Qwen’s API and partners; its weights aren’t published.