How much does Qwen3.8 Max (0902) cost?

Qwen3.8 Max (0902) costs $2.00/M input tokens and $6.00/M output tokens, with separate rates for Cache Read at $0.25/M tokens.

What is the context length of Qwen3.8 Max (0902)?

Qwen3.8 Max (0902) has a 1,000,000 token context window. It supports up to 131,072 completion tokens.

Does Qwen3.8 Max (0902) support tool calling and structured outputs?

Yes. Qwen3.8 Max (0902) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does Qwen3.8 Max (0902) support?

Qwen3.8 Max (0902) accepts text, images, and video as input and returns text.

Which providers serve Qwen3.8 Max (0902)?

Qwen3.8 Max (0902) is served by 1 provider on OpenRouter: Alibaba Cloud Int..

What other text models does Qwen have?

Qwen3.8 Max Prime, Qwen3.8 Omni Flash, Qwen3.8 Flash and 36 more are other text models from Qwen.

When was Qwen3.8 Max (0902) released?

Qwen3.8 Max (0902) was released on September 3, 2026.

Qwen: Qwen3.8 Max (0902)

qwen/qwen3.8-max-0902

Compare

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text, with a 1M-token context window and reasoning enabled by default.

This snapshot is post-trained for coding and agentic work, including multi-step software projects, multi-tool orchestration, and long-horizon task execution. It also targets chart reasoning, document parsing, and multimodal understanding over long documents and extended video. Tool calling, structured outputs, and configurable reasoning effort are supported.

Modalities

In / out price

$2 / $6per 1M

Context

1.0M

Released

Sep 3, 2026

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


	$2.00	$6.00	$0.25	$2.50	$0.17	5.80s	24 tok/s	99.94%
	$2.00	$6.00	$0.25	--	--	1.73s	29 tok/s	98.94%

Input $2.00Output $6.00
24 tok/s99.94% uptime
Input $2.00Output $6.00
29 tok/s98.94% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.3616/M tokens

Output

$6/M tokens

Qwen3.8 Max (0902) — Price history

Price history

No effective price data for this selection

		$0.327	$6.00	95.6%	83.9%
		$0.543	$6.00	83.2%	16.1%

Effective in $0.327Effective out $6.00
Token share
83.9%
Effective in $0.543Effective out $6.00
Token share
16.1%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.41%

Availability over the last 3 days

Last 72 hours

Availability 99.41%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.05%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Qwen: Qwen3.8 Max (0902) (Artificial Analysis and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Qwen3.8 Max (0902) Intelligence Index	33.7
Artificial Analysis	Qwen3.8 Max (0902) Coding Index	76.2
Artificial Analysis	Qwen3.8 Max (0902) Agentic Index	56.0
Artificial Analysis	Qwen3.8 Max (0902) GPQA Diamond	92.8%
Artificial Analysis	Qwen3.8 Max (0902) HLE	43.1%
Artificial Analysis	Qwen3.8 Max (0902) AA-LCR	80.3%
Artificial Analysis	Qwen3.8 Max (0902) τ-Bench Banking	47.8%
Artificial Analysis	Qwen3.8 Max (0902) GDPval-AA	58.7%
Artificial Analysis	Qwen3.8 Max (0902) CritPt	17.7%
Artificial Analysis	Qwen3.8 Max (0902) SciCode	52.1%
Artificial Analysis	Qwen3.8 Max (0902) Terminal-Bench 4.0	38.9%
Artificial Analysis	Qwen3.8 Max (0902) Terminal-Bench 2.1	88.8%
Artificial Analysis	Qwen3.8 Max (0902) AA-Omniscience Accuracy	29.5%
Artificial Analysis	Qwen3.8 Max (0902) AA-Omniscience Non-Hallucination Rate	72.9%
Vals AI	Qwen 3.8 Max Access to Justice Benchmark	76.4%
Vals AI	Qwen 3.8 Max Code Migration	24.0%
Vals AI	Qwen 3.8 Max CorpFin v2	65.9%
Vals AI	Qwen 3.8 Max CyberBench v1.1	28.6%
Vals AI	Qwen 3.8 Max EMB v1.1	66.0%
Vals AI	Qwen 3.8 Max Finance Agent (v2)	50.6%
Vals AI	Qwen 3.8 Max Financial Coaching Bench	75.6%
Vals AI	Qwen 3.8 Max GPQA Diamond	93.7%
Vals AI	Qwen 3.8 Max Harvey's Legal Agent Benchmark v1	10.4%
Vals AI	Qwen 3.8 Max Immigration	70.1%
Vals AI	Qwen 3.8 Max IOI	68.9%
Vals AI	Qwen 3.8 Max LiveCodeBench	87.9%
Vals AI	Qwen 3.8 Max LegalBench	83.6%
Vals AI	Qwen 3.8 Max Legal Research Bench	47.6%
Vals AI	Qwen 3.8 Max MedCode	40.7%
Vals AI	Qwen 3.8 Max MedScribe	84.9%
Vals AI	Qwen 3.8 Max MMLU Pro	88.6%
Vals AI	Qwen 3.8 Max MMMU Pro	88.0%
Vals AI	Qwen 3.8 Max MortgageTax	64.0%
Vals AI	Qwen 3.8 Max MysteryMechanism	23.9%
Vals AI	Qwen 3.8 Max ProgramBench	0.0%
Vals AI	Qwen 3.8 Max ProofBench v1.1	58.0%
Vals AI	Qwen 3.8 Max Public Benefits Bench v1.1	67.1%
Vals AI	Qwen 3.8 Max Vals RSI Index	21.8%
Vals AI	Qwen 3.8 Max SAGE	81.8%
Vals AI	Qwen 3.8 Max SkillsBench	42.0%
Vals AI	Qwen 3.8 Max SWE-bench	85.6%
Vals AI	Qwen 3.8 Max SWE-bench Multimodal	42.5%
Vals AI	Qwen 3.8 Max Tax Agent Bench	32.1%
Vals AI	Qwen 3.8 Max TaxEval v2	75.6%
Vals AI	Qwen 3.8 Max Terminal-Bench 4.0	34.3%
Vals AI	Qwen 3.8 Max Terminal-Bench-Science	12.9%
Vals AI	Qwen 3.8 Max Vals Index	48.3%
Vals AI	Qwen 3.8 Max Vals Multimodal Index	65.4%
Vals AI	Qwen 3.8 Max Vibe Code Bench 1-100	12.8%
Vals AI	Qwen 3.8 Max Vibe Code Bench v1.1	64.7%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

100Btokens

Claude Code

Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.

31.9Btokens

There are many coding agents, but this one is yours.

12.6Btokens

OpenClaw

OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.

8.73Btokens

Portkey AI

Control panel for AI apps

7.95Btokens

Rest of OpenRouter

20.6B

Top 5 Apps

2.03B

Not currently available through EU in-region routing. In-region routing docs

More models from Qwen

Qwen Image 2.1 Turbo

Qwen Image 2.1 Turbo is the fast, lower-cost tier of the Qwen Image 2.1 series from Qwen, for image generation and editing where throughput and price matter more than peak fidelity. See Qwen Image 2.1 Pro for the higher-quality tier.

Imagefrom $0.0184/image

Qwen Image 2.1 Pro

Qwen Image 2.1 Pro is an image generation and editing model from Qwen, the higher-quality tier of the Qwen Image 2.1 series. Choose it over Qwen Image 2.1 Turbo when output fidelity matters more than cost or speed.

Imagefrom $0.046/image

Qwen3.8 Max Prime

Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point. It accepts text, image, and video input and returns text, with a 1M-token context window and reasoning enabled by default. Tool calling, structured outputs, and configurable reasoning effort are supported, matching Qwen3.8 Max.

Text1M context$4 / $12

Qwen3.8 Omni Flash

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization, video editing and production workflows, audio-video dialogue, coding, knowledge work, and GUI interaction, and it is particularly strong at long-form multimedia tasks that combine speech, sound, and visual context. It also supports two-channel and four-channel spatial audio understanding.

Text1M context$0.15 / $0.47

Qwen3.8 Max (batch)

Text262K context$1.15 / $3.45

Qwen3.8 Flash

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.

Text1M context$0.15 / $0.47

Qwen3 Reranker 0.6B

Qwen3 Reranker 0.6B is the smallest text reranking model from Alibaba Cloud in the Qwen3 Reranker series. Built on the Qwen3 architecture, it evaluates query-document pairs to produce relevance scores for retrieval and RAG pipelines. Supports 100+ languages with instruction-aware reranking. Designed for low-latency, resource-constrained deployments.

Rerank$0.20/M tokens

Qwen3 Reranker 4B

Qwen3 Reranker 4B is a text reranking model from Alibaba Cloud built on the Qwen3 architecture. It evaluates query-document pairs to produce relevance scores for use in retrieval and RAG pipelines. Supports 100+ languages and programming languages, with instruction-aware reranking that allows customizing scoring criteria per task. A compact 4B alternative balancing performance and inference cost.

Rerank

Qwen3.8 27B

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be enabled or disabled.

Text1.0M context$0.035 / $1.50

Qwen3.8 27B (batch)

Text262K context$0.16 / $2

Qwen3 Reranker 8B

Qwen3 Reranker 8B is a text reranking model from Alibaba Cloud built on the Qwen3 architecture. It evaluates query-document pairs to produce relevance scores for use in retrieval and RAG pipelines. Supports 100+ languages and programming languages, with instruction-aware reranking that allows customizing scoring criteria per task. Offers strong performance on multilingual benchmarks including MTEB, CMTEB, and MMTEB.

Rerank$0.20/M tokens

Qwen3 ASR 1.7B

Qwen3 ASR 1.7B is an automatic speech recognition model from Qwen. It supports multilingual language identification and transcription across 30 languages and 22 Chinese dialects, with streaming and offline inference plus segment-level and word-level timestamps.

Transcription$0.000008/second

Qwen3 ASR 0.6B

Qwen3 ASR 0.6B is a compact automatic speech recognition model from Qwen. It supports multilingual language identification and transcription across 30 languages and 22 Chinese dialects, with streaming and offline inference plus segment-level and word-level timestamps.

Transcription$0.000003/second

Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is suited for coding, research, complex reasoning, and agentic workflows.

Text1.0M context$2 / $6

Qwen Image 3 Pro

Qwen Image 3 Pro is an image generation and editing model from Qwen. It supports precise rendering of text and details as small as 10px, along with richer world knowledge compared to previous generations.

Imagefrom $0.04/image

Qwen Image 3

Qwen Image 3 is a unified image generation and editing model from Qwen. It supports precise rendering of text and details as small as 10px, along with a richer world knowledge base than previous generations.

Imagefrom $0.03/image

Qwen3.8 Max

Qwen3.8 Max (0803) is the August 3, 2026 checkpoint of Qwen3.8 Max, the flagship model in Alibaba's Qwen3.8 series and the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding, coding, and agentic workflows. This checkpoint was superseded by Qwen3.8 Max (0902) on September 5, 2026.

Text1M context

Qwen3.7 Flash

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world visual perception.

Text1M context$0.03 / $0.13

Qwen-Audio-3.0-TTS Flash

Qwen-Audio-3.0-TTS Flash is Alibaba's fast, cost-efficient text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.

Speech$15/M characters

Qwen-Audio-3.0-TTS Plus

Qwen-Audio-3.0-TTS Plus is Alibaba's higher-quality text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.

Speech$20/M characters

Qwen: Qwen3.8 Max (0902)

Providers