Qwen3.8 Omni Flash API Pricing
Alibaba · Budget · Qwen · released 2026-09. Prices in USD per 1 million tokens. Data snapshot: 2026-09-23.
Qwen3.8 Omni Flash is the 67th cheapest of 144 Budget models on blended price. Only one host, Alibaba, sells it, so there is no second price to shop. No Arena score is published for it, so it carries no Efficiency score and cannot hold the FinOps Friendly badge.
- Input: $0.15 per 1M tokens
- Output: $0.47 per 1M tokens
- Batch API (input/output): not published
- Prompt-cache read: $0.02
- Context window: 1M
Qwen3.8 Omni Flash market position
On blended price ($0.374 per 1M tokens at 30% input, 70% output) it is cheaper than 53% of Budget models: 67th cheapest of 144, tied with one other. Across every category it is cheaper than 76% of priced text models in the catalogue: 67th cheapest of 277, tied with one other.
- Next cheaper Budget model: Ternary Bonsai 2 27B (prism-ml) at $0.372 blended, under 1% less.
- Next more expensive: GPT-6 Luna (OpenAI) at $0.380 blended, 2% more.
Qwen3.8 Omni Flash licence, size and capabilities
Qwen3.8 Omni Flash is open weights, which is not the same as open source: the weights are published, but under Qwen, a licence that restricts some uses. Read it before self-hosting commercially. Its parameter count is not published. Listed capabilities: Text, Vision, Audio, Reasoning, Agents. Filling its 1M context window once costs $0.15 in input tokens at list price.
Cost per 1,000 requests by business use case
List price vs after discounts (prompt caching on the cached input share, batch API for async workloads, only where the provider publishes those rates). The monthly budget runs from the after-discounts figure, which assumes you implement both, to the list-price one.
| Use case | Tokens (in/out) | Cost / 1K req (list price) | Cost / 1K req (after discounts) | Monthly @100K req (after discounts – list) |
|---|---|---|---|---|
| Support Ticket | 1,500 / 500 | $0.46 | $0.34 | $34 – $46 |
| Knowledge Q&A | 2,000 / 800 | $0.68 | $0.49 | $49 – $68 |
| Meeting Summary | 10,000 / 1,200 | $2.06 | $1.93 | $193 – $206 |
| Marketing Content | 2,500 / 1,800 | $1.22 | $1.15 | $115 – $122 |
| Coding Task | 3,000 / 2,000 | $1.39 | $1.19 | $119 – $139 |
| Invoice Processing | 1,500 / 600 | $0.51 | $0.45 | $45 – $51 |
| Call Summary | 2,000 / 700 | $0.63 | $0.60 | $60 – $63 |
| Agent Workflow | 6,000 / 3,000 | $2.31 | $1.75 | $175 – $231 |
Qwen3.8 Omni Flash pricing by host
A host is a company that runs the model and sells it by the token — the lab that made it, a cloud platform like Amazon Bedrock, Azure or Vertex, or an independent provider. One model, several sellers, and often several prices. This model is sold by 1 host. The price quoted above is the one we publish so that models stay comparable; it is not necessarily the cheapest way to buy this model. List prices as published on 2026-09-23 via OpenRouter — negotiated rates, committed-use discounts and provisioned capacity are not shown.
Alibaba is the only host with a published rate, $0.15 input / $0.47 output per 1M tokens, which is the price shown on this page.
| Host | Input $/1M | Output $/1M |
|---|---|---|
| Alibaba (the price shown above) | $0.15 | $0.47 |
Common questions about Qwen3.8 Omni Flash pricing
- 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 on the API.
- Does Qwen3.8 Omni Flash offer batch or cached pricing?
- Prompt-cache reads cost $0.02/M input tokens. No batch pricing is published.
- What would Qwen3.8 Omni Flash cost per month?
- For a support-ticket workload (1,500 input + 500 output tokens per request) at 100K requests/month, Qwen3.8 Omni Flash costs about $46 at list prices.
These are list prices: real cost also depends on caching, batching, negotiated discounts, marketplace agreements, and existing contracts. Get a FinOps review from OptimNow or compare all models.
Build the business case for Qwen3.8 Omni Flash in the AI ROI Calculator: add your business value on top of these costs to get ROI, break-even and payback.
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