qwen3.8-flashQwen3.8 Flash is the cost-efficient tier of the Qwen3.8 line: the same graded thinking effort as Max at roughly a thirteenth of the price, with a 1M-token context window. Tool calling, JSON output and streaming, served OpenAI-compatible via /v1/chat/completions. We do not add a content-moderation layer of our own on top of this model: prompts and completions pass through as sent. The model's own safety systems still apply upstream — a request can come back refused as data_inspection_failed when the input is judged inappropriate — so this is not an unfiltered endpoint. Reviewing what you generate, and complying with the law and your own platform's rules, is your responsibility.
View complete API reference with all parameters and examples.
View complete API reference with streaming, thinking, and more.
Billing: Cost = (input_tokens * input_price + output_tokens * output_price) / 1,000,000
About 1/13 the price of Qwen3.8 Max, same thinking controls
Million-token context window
Reasoning tokens are part of completion_tokens. Set reasoning_effort low, or none, for simple or bulk work.
Function calling + JSON output, OpenAI-compatible
Qwen3.8 Flash is a Large Language Model API provided by Alibaba. Qwen3.8 Flash is the cost-efficient tier of the Qwen3.8 line: the same graded thinking effort as Max at roughly a thirteenth of the price, with a 1M-token context window. Tool calling, JSON output and streaming, served OpenAI-compatible via /v1/chat/completions. We do not add a content-moderation layer of our own on top of this model: prompts and completions pass through as sent. The model's own safety systems still apply upstream — a request can come back refused as data_inspection_failed when the input is judged inappropriate — so this is not an unfiltered endpoint. Reviewing what you generate, and complying with the law and your own platform's rules, is your responsibility. Through APIMODELS platform, you can access this model via a unified API with transparent pay-as-you-go pricing. Current pricing: Input: $0.15, Output: $0.47 per 1M tokens.
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Qwen3.8 Flash is available through APIMODELS at: Input: $0.15, Output: $0.47 per 1M tokens. Billing is pay-as-you-go — you only pay for what you generate.
Sign up at APIMODELS, get your API key, and call our unified API endpoint. We provide detailed API documentation with code examples in cURL, Python, and Node.js.
APIMODELS offers the same Qwen3.8 Flash model through our aggregation platform. We provide a unified API interface so you do not need separate accounts for each provider - one API key to access all models.
The thinking controls are identical (reasoning_effort, three tiers) and the context window is the same 1M tokens. What differs is raw capability and price: Flash is $0.15 / $0.47 against Max at $2.00 / $6.00 — roughly a thirteenth. Flash is the "affordable reasoning" tier: some reasoning needed, the task is not especially hard, or the volume is large. Complex agents and genuinely hard problems still want Max. Same endpoint, one-field switch.
$0.15 per 1M input, $0.47 per 1M output, cached input $0.016 — the same as Alibaba official list price, neither more affordable nor dearer. We do not run a price gap on this generation. What you get instead: no Alibaba Cloud account, direct reachability from mainland China, one key across every vendor on a shared balance, pay-as-you-go, and no charge for failed requests.
It does, and thinking is on by default. It shares the same controls as Max: reasoning_effort low, medium or xhigh, defaulting to xhigh. Precisely because it defaults on, the affordable unit price is easy to cancel out — reasoning tokens sit inside completion_tokens and bill at the output rate. Drop reasoning_effort to low, or none to switch thinking off, for high-volume or simple work; that is when the price advantage actually shows up on the bill.
Bulk classification and tagging, format conversion, summarisation, log and ticket triage — pipeline work that needs a little judgement but not deep reasoning, where volume is high and each item is easy. Paired with reasoning_effort:low or thinking off, the per-item cost gets very low. The 1M-token context also lets it swallow a long document in one pass for extraction.
POST https://api.apimodels.app/v1/chat/completions with Authorization: Bearer YOUR_API_KEY and body {"model":"qwen3.8-flash","messages":[{"role":"user","content":"..."}],"reasoning_effort":"low"}. Plain OpenAI shape; add stream:true for streaming. To see what thinking cost you, read usage.completion_tokens_details.reasoning_tokens on the response.
On APIMODELS, Qwen3.8 Flash runs alongside 60+ models on one API key and one balance, so choosing is about fit, not lock-in. It supports Reasoning / Thinking, Affordable, 1M Context, Tool Calling, Streaming, and you can weigh it on price and capability against other Large Language Model models, then switch by changing a single model-name string — no new account or integration. Browse every Large Language Model option with live pricing at apimodels.app/models.
Qwen3.8 Flash supports: Reasoning / Thinking, Affordable, 1M Context, Tool Calling, Streaming. See the APIMODELS docs for full parameters and call examples.
Yes. APIMODELS exposes Qwen3.8 Flash through a single unified API and one key — no separate provider accounts, and no need to handle each provider's regional network access yourself.
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