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Qwen: Qwen3.8 Flash
qwen/qwen3.8-flashTry Qwen: Qwen3.8 Flash now
Runs on your balance at the prices above. New accounts start with free usage.
One API. Every model.
Session cost $0.00
Settings
Advanced parameters
Qwen: Qwen3.8 Flash at a glance
- Input price is 67% lower than the median of 434 Text models.
- Context window of 1,000,000 tokens, enough for long documents and multi-turn conversations.
- Supports tool (function) calling for agents and integrations.
- Supports structured JSON output with a schema.
- Supports reasoning effort control.
- Accepts images as input (vision).
- A typical request (1,000 input / 500 output tokens) costs about $0.00135.
About Qwen: Qwen3.8 Flash
Qwen: Qwen3.8 Flash is a text model from Qwen, the model family from Alibaba. It is listed on api14 under the model id qwen/qwen3.8-flash and sits in the text category. The provider describes it as a multimodal reasoning model, and that combination of reasoning plus multimodal input is the main thing to understand before you pick it for a project.
On the input side the model accepts text, images and video, and it produces text only. Its context window is 1,000,000 tokens, which is large enough to hold entire codebases, long documents or extended video transcripts in a single request. The maximum output length is 131,072 tokens, so responses can be long as well as the inputs. Because it is a reasoning model, it can work through a problem before producing its final answer, and the supported parameters include reasoning and include_reasoning for controlling that behaviour.
Those capabilities point to a fairly specific set of use cases. The provider lists coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis and long video analysis. In practice this means you can send a repository or a stack of documents alongside a question, ask the model to interpret a chart or a screenshot, or have it reason over a long video as part of an agent loop. The large context and large output ceiling make it a reasonable fit when the task involves more material than a short prompt can carry.
You call it through api14's OpenAI-compatible API using the model id qwen/qwen3.8-flash, so existing OpenAI client libraries work with only the base URL and model name changed. The request parameters it supports are frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs and top_p. Tool calling and structured outputs are both available, which matters if you are building agents or need responses that conform to a schema, and the seed parameter lets you make sampling more reproducible.
There is no information here about performance relative to other models, so the choice comes down to fit. If your task is text only and short, a smaller model may be simpler and faster. If you need image or video input, a very large context, long outputs, or reasoning with tool use, Qwen3.8 Flash covers those cases within the parameters listed above.
How to call the Qwen: Qwen3.8 Flash API
- Create an API key in your dashboard.
- Install the official openai SDK for your language.
- Set baseURL to https://api14.com/api/v1 and model to "qwen/qwen3.8-flash".
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.chat.completions.create({
"model": "qwen/qwen3.8-flash",
"messages": [
{
"role": "user",
"content": "Explain vector databases in two sentences."
}
]
});
console.log(result.choices[0].message.content);
Supported parameters
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_pSpecifications
- Context length
- 1,000,000
- Max output
- 131,072
- Input
- text, image, video
- Output
- text
Requests on api14 · last 7 days
Qwen: Qwen3.8 Flash: frequently asked questions
- How much does the Qwen: Qwen3.8 Flash API cost?
- Qwen: Qwen3.8 Flash costs Input $0.52 / 1M tokens. It is charged from your USD balance only for successful requests; failed requests are free.
- What is the context window of Qwen: Qwen3.8 Flash?
- Qwen: Qwen3.8 Flash reads up to 1,000,000 tokens per request: prompt, history and documents together. It writes up to 131,072 output tokens per response.
- What can Qwen: Qwen3.8 Flash do?
- Qwen: Qwen3.8 Flash accepts text, image, video and returns text. It supports tool calling, structured JSON output, reasoning effort control.
- How do I call Qwen: Qwen3.8 Flash from my code?
- Point any OpenAI SDK at https://api14.com/api/v1 and set the model to "qwen/qwen3.8-flash". No other code changes. Copy a ready example from the code panel on this page.
- What are alternatives to Qwen: Qwen3.8 Flash?
- Comparable Text models at a similar price: Qwen: Qwen3.8 Omni Flash, Qwen: Qwen3 30B A3B, Anthropic: Claude Haiku 5.5. Each runs through the same API key, so switching is one string.
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