---
title: Qwen3.8 Max 0902
description: The September snapshot (0902) of Qwen3.8 Max, the largest model of Alibaba's Qwen team: a mixture-of-experts with about 2.4 trillion parameters. It takes text, images and video, reasons by default and was post-trained for multi-step software projects, orchestration of many tools and analysis of charts, long documents and long video. Context is 1M tokens; tool calling, structured output and adjustable reasoning effort are available.
keywords: qwen3-8-max-0902
---

## Overview {#overview}

:::figures
| label | value | unit |
| --- | --- | --- |
| Context | 1M | tokens |
| Max output | 131.1K | tokens |
| Input | 2.3 USD (2.321 USD) | per 1M tokens |
| Output | 7 USD (6.963 USD) | per 1M tokens |
| Released | 3 September 2026 |  |
:::

:::deflist
| field | what it is |
| --- | --- |
| Model ID | **qwen3-8-max-0902** |
:::

## Start with Qwen3.8 Max 0902 {#quickstart}

The model name is already filled in. Mint a key in the console, put it in an environment variable, and the call below runs as it stands — provided the organization’s wallet holds funds: a call with nothing to pay with answers 402.

:::code-group
```bash title=cURL
curl https://api.kumorouter.com/v1/chat/completions \
  -H "Authorization: Bearer $KUMO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "qwen3-8-max-0902",
  "max_tokens": 1024,
  "messages": [
    {
      "role": "user",
      "content": "Explain tokens in one line."
    }
  ]
}'
```
```python title=Python
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.kumorouter.com/v1",
    api_key=os.environ["KUMO_API_KEY"],
)

response = client.chat.completions.create(
    model="qwen3-8-max-0902",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain tokens in one line."}],
)
print(response.choices[0].message.content)
```
```typescript title=TypeScript
import OpenAI from "openai";

const apiKey = process.env.KUMO_API_KEY;
if (!apiKey) throw new Error("Set KUMO_API_KEY before running this example.");

const client = new OpenAI({
  baseURL: "https://api.kumorouter.com/v1",
  apiKey,
});

const response = await client.chat.completions.create({
  model: "qwen3-8-max-0902",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Explain tokens in one line." }],
});

process.stdout.write(`${response.choices[0]?.message.content ?? ""}\n`);
```
```javascript title=JavaScript
import OpenAI from "openai";

const apiKey = process.env.KUMO_API_KEY;
if (!apiKey) throw new Error("Set KUMO_API_KEY before running this example.");

const client = new OpenAI({
  baseURL: "https://api.kumorouter.com/v1",
  apiKey,
});

const response = await client.chat.completions.create({
  model: "qwen3-8-max-0902",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Explain tokens in one line." }],
});

process.stdout.write(`${response.choices[0]?.message.content ?? ""}\n`);
```
:::

## OpenAI — API parameters {#chat_completions-parameters}

Authorization: Bearer $KUMO_API_KEY

:::matrix
| Parameter | Type | Default / range | Description |
| --- | --- | --- | --- |
| model | string | Required | Published model identifier. |
| messages | array | 1–512 | Conversation messages in chronological order. |
| max_tokens | integer | ≥ 1 | Optional. A request stating neither max_tokens nor max_completion_tokens is answered under the surface default of 32768 output tokens. Model limits also apply. |
| temperature | number | 0–2 | Sampling randomness. Omission leaves the choice to the model. |
| top_p | number | 0–1 | Nucleus sampling probability mass. Omission leaves the choice to the model. |
| stop | array | ≤ 4 | Array of strings that stop generation. |
| max_completion_tokens | integer | ≥ 1 | Optional alternative to max_tokens. Stating both with DIFFERENT values is refused: a precedence rule would silently discard one of two numbers the caller deliberately wrote. |
| stream | boolean | false | Stream response events using Server-Sent Events. |
| stream_options | object | {include_usage: boolean} | Only with stream: true. include_usage adds a final usage event before [DONE]; its default is false. |
| tools | array | ≤ 128 | Function declarations. parameters carries the original JSON Schema object, up to 65536 bytes per tool, including nested objects and arrays. |
| tool_choice | string | object | auto | none | required | {type: "function", function: {name}} | auto leaves the choice to the model; none forbids a call while the declarations stay visible; required requires a call to some declared tool; the object form requires the named one. Omission leaves the choice to the model. |
:::

One completion per request. The gateway rejects frequency_penalty, presence_penalty, seed, logprobs, top_logprobs and logit_bias: each of them would change the generation or the shape of the reply, and accepting one silently would misdescribe the answer you got. n is accepted only at 1 — the protocol default and exactly what the gateway does — and an n above one is rejected. user is accepted but is not forwarded to the model, not stored and not echoed back. The same applies to strict on a function declaration and name on a tool-role message: both are accepted and not forwarded. reasoning_effort is accepted and not forwarded either: no supplier request on this platform carries a reasoning budget, so the answer comes back at the default of the model itself whatever the field says. cache_control on a message, on a content part or on a replayed tool call is accepted and not forwarded either: the supplier wire this protocol is served by has no member for a prompt-cache anchor, so the cached-token counts come back as though the anchor had not been sent. messages[].content is accepted both as a string and as a list of parts: text parts are joined in order into one text, so a request written in parts and the same request written as a string are one request. A part of kind image_url, input_audio, file or refusal is rejected naming its own type: no multimodal capability is verified on this platform for any pair, and a replayed refusal would reach the supplier as ordinary assistant speech. The developer role is accepted and forwarded as system — it is the newer name this protocol gives the instruction role. stop is array-only; tool_choice is the string mode auto, none or required, or an object naming a declared tool. json_object is refused by name: promising valid JSON says nothing about its shape.

## Identifiers {#identifiers}

:::deflist
| field | what it is |
| --- | --- |
| Canonical name | **qwen3-8-max-0902** |
| Aliases | none |
| Vendor code | qwen |
| Protocols | chat_completions |
| Modalities | text_generation |
:::

## Capabilities {#capabilities}

:::matrix
| Protocol and modality | Streaming | Tools | Structured output | Strict semantics | Structured streaming |
| --- | --- | --- | --- | --- | --- |
| Chat Completions text generation | Yes | Yes | Unverified | Unverified | Unverified |
:::

A row describes one protocol-and-modality pair rather than the model as a whole: a capability is proved on a particular surface, and the answer beside it may differ.

## How it compares {#compare}

:::matrix
| Model | Context | Max output | Input $/M | Output $/M | Modalities |
| --- | --- | --- | --- | --- | --- |
| **Qwen3.8 Max 0902** | 1M | 131.1K | 2.3 USD (2.321 USD) | 7 USD (6.963 USD) | text generation |
| [Claude Sonnet 5](/models/claude-sonnet-5) | 1M | 128K | 1.2 USD | 6 USD | text generation |
| [Gemini 3.6 Flash](/models/gemini-3.6-flash) | 1M | 65.5K | 0.4 USD (0.351 USD) | 1.8 USD (1.753 USD) | text generation |
| [Gemini 3.8 Flash](/models/gemini-3.8-flash) | 1M | 65.5K | 0.4 USD (0.413 USD) | 2.1 USD (2.063 USD) | text generation |
| [Kimi K3](/models/kimi-k3) | 1M | 1M | 1.7 USD (1.65 USD) | 8.3 USD (8.25 USD) | text generation |
| [Claude Opus 4.8](/models/anthropic~-claude-opus-4-8) | 1M | 128K | 2.6 USD (2.55 USD) | 12.8 USD (12.75 USD) | text generation |
| [Claude Fable 5](/models/anthropic~-claude-fable-5) | 1M | 128K | 5.1 USD | 25.5 USD | text generation |
| [Claude Fable 5.1](/models/anthropic~-claude-fable-5-1) | 1M | 128K | 6 USD | 30 USD | text generation |
| [Claude Haiku 4.5](/models/anthropic~-claude-haiku-4-5) | 200K | 64K | 0.6 USD | 3 USD | text generation |
| [Claude Opus 4.5](/models/anthropic~-claude-opus-4-5-20251101) | 200K | 64K | 2.6 USD (2.55 USD) | 12.8 USD (12.75 USD) | text generation |
| [Claude Opus 4.6](/models/anthropic~-claude-opus-4-6) | 1M | 128K | 2.6 USD (2.55 USD) | 12.8 USD (12.75 USD) | text generation |
| [Claude Opus 4.7](/models/anthropic~-claude-opus-4-7) | 1M | 128K | 2.6 USD (2.55 USD) | 12.8 USD (12.75 USD) | text generation |
| [Claude Opus 5.5](/models/anthropic~-claude-opus-5-5) | 1M | 128K | 2.2 USD | 11 USD | text generation |
| [Claude Opus 5](/models/anthropic~-claude-opus-5) | 1M | 128K | 2.6 USD (2.55 USD) | 12.8 USD (12.75 USD) | text generation |
| [Claude Sonnet 5.5](/models/anthropic~-claude-sonnet-5-5) | 1M | 128K | 1.1 USD | 5.5 USD | text generation |
| [Claude Sonnet 4.5](/models/anthropic~-claude-sonnet-4-5-20250929) | 200K | 64K | 1.5 USD (1.53 USD) | 7.7 USD (7.65 USD) | text generation |
| [Claude Sonnet 4.6](/models/anthropic~-claude-sonnet-4-6) | 1M | 128K | 1.5 USD (1.53 USD) | 7.7 USD (7.65 USD) | text generation |
| [Gemini 3 Flash Preview](/models/google~-gemini-3-flash-preview) | 1M | 65.5K | 0.3 USD (0.255 USD) | 1.5 USD (1.53 USD) | text generation |
| [Gemini 3.1 Flash Lite](/models/google~-gemini-3.1-flash-lite) | 1M | 65.5K | 0.2 USD (0.15 USD) | 0.9 USD | text generation |
| [Gemini 3.1 Pro Low](/models/google~-gemini-3.1-pro-low) | 1M | 65.5K | 1.1 USD | 6.6 USD | text generation |
| [Gemini 3.6 Flash High](/models/google~-gemini-3.6-flash-high) | 1M | 65.5K | 0.4 USD (0.383 USD) | 1.9 USD (1.913 USD) | text generation |
| [Gemini 3.7 Flash High](/models/google~-gemini-3.7-flash-high) | 1M | 65.5K | 0.4 USD (0.383 USD) | 1.9 USD (1.913 USD) | text generation |
| [Gemini 3.8 Flash High](/models/google~-gemini-3.8-flash-high) | 1M | 65.5K | 0.5 USD (0.45 USD) | 2.3 USD (2.25 USD) | text generation |
| [Codex Auto Review](/models/openai~-codex-auto-review) | 1.1M | 128K | 3 USD | 18 USD | text generation |
| [GPT-5.3 Codex Spark](/models/openai~-gpt-5.3-codex-spark) | 128K | 32K | 0.9 USD (0.893 USD) | 7.1 USD (7.14 USD) | text generation |
| [GPT-5.5](/models/openai~-gpt-5.5) | 1.1M | 128K | 2.6 USD (2.55 USD) | 15.3 USD | text generation |
| [GPT-5.6 Luna](/models/openai~-gpt-5.6-luna) | 1.1M | 128K | 0.1 USD (0.102 USD) | 0.6 USD (0.612 USD) | text generation |
| [GPT-5.6 Sol](/models/openai~-gpt-5.6-sol) | 1.1M | 128K | 2 USD (2.04 USD) | 10.2 USD | text generation |
| [GPT-6.1 Sol](/models/openai~-gpt-6.1-sol) | 1.1M | 128K | 1.1 USD | 5.5 USD | text generation |
| [GPT-6 Astra](/models/openai~-gpt-6-astra) | 1.1M | 128K | 6 USD | 30 USD | text generation |
| [GPT-5.6 Terra](/models/openai~-gpt-5.6-terra) | 1.1M | 128K | 1 USD (1.02 USD) | 6.1 USD (6.12 USD) | text generation |
| [GPT-6 Sol](/models/openai~-gpt-6-sol) | 1.1M | 128K | 1.1 USD | 5.5 USD | text generation |
| [GPT-6 Luna](/models/openai~-gpt-6-luna) | 1.1M | 128K | 0.06 USD (0.055 USD) | 0.3 USD (0.275 USD) | text generation |
| [Grok 4.5](/models/xai~-grok-4.5) | 500K | 500K | 1 USD (1.02 USD) | 3.1 USD (3.06 USD) | text generation |
| [Grok 4.6](/models/xai~-grok-4.6) | 500K | 500K | 1 USD (1.02 USD) | 3.1 USD (3.06 USD) | text generation |
| [Grok 4.7](/models/xai~-grok-4.7) | 500K | 500K | 1.1 USD | 3.3 USD | text generation |
| [GLM-5.2](/models/zai~-glm-5.2) | 1M | 131.1K | 0.7 USD (0.714 USD) | 2.2 USD (2.244 USD) | text generation |
| [GLM-5.3](/models/zai~-glm-5.3) | 1M | 131.1K | 0.8 USD (0.84 USD) | 2.6 USD (2.64 USD) | text generation |
| [Claude Haiku 5.5](/models/anthropic~-claude-haiku-5-5) | 1M | 128K | 0.06 USD (0.055 USD) | 0.3 USD (0.275 USD) | text generation |
| [Mistral Large 4](/models/mistral-large-4) | 1M | 262.1K | 0.8 USD (0.79 USD) | 2.4 USD (2.426 USD) | text generation |
| [Mistral Medium 3.5](/models/mistral-medium-3-5) | 262.1K | 209.7K | 1.7 USD (1.741 USD) | 8.7 USD (8.704 USD) | text generation |
| [Devstral 2](/models/devstral-2) | 262.1K | 209.7K | 0.5 USD (0.465 USD) | 2.3 USD (2.321 USD) | text generation |
| [DeepSeek V4.1 Flash](/models/deepseek-v4-1-flash) | 1M | 393.2K | 0.3 USD (0.349 USD) | 1.4 USD (1.393 USD) | text generation |
| [DeepSeek V4 Pro 0813](/models/deepseek-v4-pro-0813) | 1M | 393.2K | 1.5 USD (1.532 USD) | 4.6 USD (4.596 USD) | text generation |
| [DeepSeek V4 Flash](/models/deepseek-v4-flash) | 1M | 943.7K | 0.1 USD (0.106 USD) | 0.2 USD (0.212 USD) | text generation |
| [Qwen3.8 Flash](/models/qwen3-8-flash) | 1M | 131.1K | 0.2 USD (0.175 USD) | 0.5 USD (0.546 USD) | text generation |
| [Qwen3.8 27B](/models/qwen3-8-27b) | 1M | 235.9K | 0.05 USD (0.047 USD) | 2.7 USD (2.67 USD) | text generation |
| [Qwen3.7 Plus](/models/qwen3-7-plus) | 1M | 131.1K | 0.4 USD (0.372 USD) | 1.5 USD (1.486 USD) | text generation |
| [Qwen3 Coder Next](/models/qwen3-coder-next) | 262.1K | 235.9K | 0.1 USD (0.14 USD) | 0.9 USD (0.929 USD) | text generation |
| [MiniMax M3](/models/minimax-m3) | 1M | 512K | 0.3 USD (0.349 USD) | 1.4 USD (1.393 USD) | text generation |
| [MiniMax M2.7](/models/minimax-m2-7) | 204.8K | 176.9K | 0.3 USD (0.349 USD) | 1.4 USD (1.393 USD) | text generation |
| [Kimi K2.7 Code](/models/kimi-k2-7-code) | 262.1K | 235.9K | 0.8 USD (0.779 USD) | 3.9 USD (3.888 USD) | text generation |
| [Kimi K2.6](/models/kimi-k2-6) | 262.1K | 235.9K | 0.8 USD (0.755 USD) | 4 USD (3.958 USD) | text generation |
| [GLM-5.3 FlashX](/models/glm-5-3-flashx) | 1M | 131.1K | 0.4 USD (0.43 USD) | 1.5 USD (1.451 USD) | text generation |
| [MiMo V2.6 Pro](/models/mimo-v2-6-pro) | 1.1M | 131.1K | 0.5 USD (0.505 USD) | 1 USD (1.01 USD) | text generation |
| [MiMo V2.6 Flash](/models/mimo-v2-6-flash) | 1.1M | 131.1K | 0.2 USD (0.163 USD) | 0.3 USD (0.325 USD) | text generation |
| [Step 5 Preview](/models/step-5-preview) | 1M | 64K | 1.2 USD (1.161 USD) | 3.1 USD (3.134 USD) | text generation |
| [Step 3.7 Flash](/models/step-3-7-flash) | 262.1K | 230.4K | 0.2 USD (0.233 USD) | 1.3 USD (1.335 USD) | text generation |
| [Muse Glimmer 30B](/models/muse-glimmer-30b) | 131.1K | 16.4K | 0.3 USD (0.349 USD) | 1.4 USD (1.393 USD) | text generation |
| [Nemotron 3 Ultra](/models/nemotron-3-ultra) | 262.1K | 182.5K | 0.7 USD (0.697 USD) | 2.8 USD (2.786 USD) | text generation |
| [Nemotron 3 Super](/models/nemotron-3-super) | 262.1K | 235.9K | 0.09 USD (0.093 USD) | 0.5 USD (0.523 USD) | text generation |
| [Seed 2.1 Turbo](/models/seed-2-1-turbo) | 262.1K | 235.9K | 0.6 USD (0.581 USD) | 2.9 USD (2.902 USD) | text generation |
| [Seed 2.0 Code](/models/seed-2-0-code) | 262.1K | 131.1K | 0.6 USD (0.581 USD) | 3.5 USD (3.482 USD) | text generation |
| [Hy4 Preview](/models/hy4-preview) | 1M | 64K | 1 USD (0.968 USD) | 2.9 USD (2.903 USD) | text generation |
| [Command A+](/models/command-a-plus) | 192K | 64K | 0.3 USD (0.349 USD) | 1.7 USD (1.741 USD) | text generation |
| [Inkling](/models/inkling) | 524.3K | 471.9K | 1.2 USD (1.161 USD) | 4.7 USD (4.701 USD) | text generation |
| [LongCat 2.0](/models/longcat-2-0) | 1M | 262.1K | 0.3 USD (0.349 USD) | 1.4 USD (1.393 USD) | text generation |
| [Nova 2 Lite](/models/nova-2-lite) | 1M | 65.5K | 0.3 USD (0.349 USD) | 2.9 USD (2.902 USD) | text generation |
| [Trinity Large Thinking](/models/trinity-large-thinking) | 262.1K | 80K | 0.3 USD (0.291 USD) | 0.9 USD (0.929 USD) | text generation |
| [Solar Pro 4](/models/solar-pro-4) | 524.3K | 131.1K | 0.1 USD (0.105 USD) | 0.4 USD (0.418 USD) | text generation |
| [Aion 3.5](/models/aion-3-5) | 262.1K | 32.8K | 3.5 USD (3.482 USD) | 7 USD (6.963 USD) | text generation |
| [Laguna S 2.1](/models/laguna-s-2-1) | 1M | 131.1K | 0.1 USD (0.105 USD) | 0.2 USD (0.209 USD) | text generation |
| [Mercury 2.5](/models/mercury-2-5) | 260K | 65.5K | 0.05 USD (0.047 USD) | 0.2 USD (0.175 USD) | text generation |
| [Llama 4 Maverick](/models/llama-4-maverick) | 1M | 16.4K | 0.2 USD (0.218 USD) | 0.8 USD (0.758 USD) | text generation |
| [Granite 4.2 8B](/models/granite-4-2-8b) | 131.1K | 118K | 0.07 USD | 0.3 USD (0.291 USD) | text generation |
:::

## Prices {#pricing}

:::matrix
| Dimension | Rate |
| --- | --- |
| Input tokens | 2.3 USD (2.321 USD) per 1M tokens |
| Cache write | 2.3 USD (2.321 USD) per 1M tokens |
| Cache read | 0.3 USD (0.291 USD) per 1M tokens |
| Output tokens | 7 USD (6.963 USD) per 1M tokens |
:::

> [The whole price list →](https://kumorouter.com/pricing)

## Integrations {#integrations}

Every link opens its own guide with this model already chosen.

:::cards
- [Codex CLI](/codex-cli?model=qwen3-8-max-0902) — A provider in config.toml, the key from an environment variable — Codex CLI runs through the gateway without changing a single habit of yours.
- [Cursor](/cursor?model=qwen3-8-max-0902) — Your own key and an overridden base URL in Cursor's model settings, and the editor's chat runs through the gateway. Plus an honest list of what does not.
- [VS Code extensions](/vscode-extensions?model=qwen3-8-max-0902) — Cline, Roo Code and Continue all take the same OpenAI-compatible provider: base URL, key, model ID. Here is where those fields live in each of them.
- [SDKs](/sdks?model=qwen3-8-max-0902) — The official OpenAI and Anthropic SDKs, Python and Node: install, a client with the gateway's base URL and the key from the environment, one call. Your code stays your code.
- [Integrations](/integrations?model=qwen3-8-max-0902) — Point the tool you already use at the gateway: a base URL and a key. A recipe for every client, step-by-step guides, and a prompt that lets your agent do the setup.
:::

> [Errors](page:errors) [Rate limits](page:limits) [Models](page:models)