How much does Qwen3.7 Max cost?

Qwen3.7 Max costs $1.475/M input tokens and $4.425/M output tokens, with separate rates for Cache Read at $0.295/M tokens, Cache Creation (5min) at $1.844/M tokens, and Cache Read (5min) at $0.1475/M tokens.

What is the context length of Qwen3.7 Max?

Qwen3.7 Max has a 1,000,000 token context window. It supports up to 131,072 completion tokens.

Does Qwen3.7 Max support tool calling and structured outputs?

Yes. Qwen3.7 Max accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Which providers serve Qwen3.7 Max?

Qwen3.7 Max 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 Max (0902) and 36 more are other text models from Qwen.

When was Qwen3.7 Max released?

Qwen3.7 Max was released on May 21, 2026.

Qwen: Qwen3.7 Max

qwen/qwen3.7-max

Compare

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks, and long-horizon autonomous execution. The model offers notable gains in coding and agentic performance over prior Qwen generations and supports explicit prompt caching for efficient repeated context use.

Modalities

In / out price

$1.475 / $4.425per 1M

Context

1.0M

Released

May 21, 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


	$1.475	$4.425	$0.295	$1.84375	$0.1475	1.23s	52 tok/s	100.00%
Not used in Standard routing:Why these endpoints are not used
	$2.00	$6.00	$0.40	--	--	--	--	100.00%

Input $1.475Output $4.425
52 tok/s100.00% uptime
Not used in Standard routing:Why these endpoints are not used
Input $2.00Output $6.00
-- tok/s100.00% 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

$0.6395/M tokens

Output

$4.425/M tokens

Qwen3.7 Max — Price history

Price history

No effective price data for this selection

	$0.639	$4.42	70.5%	100.0%
Not used in Standard routing:Why these endpoints are not used
	$2.000	$6.00	0.0%	0.0%

Effective in $0.639Effective out $4.42
Token share
100.0%
Not used in Standard routing:Why these endpoints are not used
Effective in $2.000Effective out $6.00
Token share
0.0%

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)

99.69%

Availability over the last 3 days

Last 72 hours

Availability 99.69%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.69%

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: Qwen3.7 Max (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Qwen3.7 Max Coding Index	66.0
Artificial Analysis	Qwen3.7 Max Agentic Index	22.5
Artificial Analysis	Qwen3.7 Max GPQA Diamond	92.3%
Artificial Analysis	Qwen3.7 Max HLE	40.5%
Artificial Analysis	Qwen3.7 Max IFBench	80.5%
Artificial Analysis	Qwen3.7 Max τ²-Bench Telecom	94.7%
Artificial Analysis	Qwen3.7 Max AA-LCR	79.0%
Artificial Analysis	Qwen3.7 Max τ-Bench Banking	11.8%
Artificial Analysis	Qwen3.7 Max GDPval-AA	31.8%
Artificial Analysis	Qwen3.7 Max CritPt	13.4%
Artificial Analysis	Qwen3.7 Max SciCode	49.5%
Artificial Analysis	Qwen3.7 Max Terminal-Bench Hard	50.8%
Artificial Analysis	Qwen3.7 Max Terminal-Bench 4.0	1.5%
Artificial Analysis	Qwen3.7 Max Terminal-Bench 2.1	74.5%
Design Arena	Qwen3.7 Max Agents Arena Agenticgamedev Elo	1107
Design Arena	Qwen3.7 Max Agents Arena Androidnative Elo	1148
Design Arena	Qwen3.7 Max Agents Arena Blender3d Elo	980
Design Arena	Qwen3.7 Max Agents Arena Full Stack Elo	1167
Design Arena	Qwen3.7 Max Agents Arena Godotgamedev Elo	1166
Design Arena	Qwen3.7 Max Agents Arena Htmlslides Elo	1053
Design Arena	Qwen3.7 Max Agents Arena Mobile Apps Elo	1149
Design Arena	Qwen3.7 Max Agents Arena Pdf Elo	1149
Design Arena	Qwen3.7 Max Agents Arena Python-Pptxslides Elo	1152
Design Arena	Qwen3.7 Max Agents Arena Spreadsheet Elo	1000
Design Arena	Qwen3.7 Max Agents Arena Webapps Elo	1187
Design Arena	Qwen3.7 Max Models Arena 3D Elo	1244
Design Arena	Qwen3.7 Max Models Arena Asciiart Elo	1204
Design Arena	Qwen3.7 Max Models Arena Code Categories Elo	1265
Design Arena	Qwen3.7 Max Models Arena Data Visualization Elo	1273
Design Arena	Qwen3.7 Max Models Arena Game Development Elo	1254
Design Arena	Qwen3.7 Max Models Arena SVG Elo	1206
Design Arena	Qwen3.7 Max Models Arena UI Component Elo	1263
Design Arena	Qwen3.7 Max Models Arena Website Elo	1267
Vals AI	Qwen 3.7 Max Code Migration	13.1%
Vals AI	Qwen 3.7 Max CorpFin v2	63.7%
Vals AI	Qwen 3.7 Max EMB	57.0%
Vals AI	Qwen 3.7 Max Finance Agent (v2)	47.8%
Vals AI	Qwen 3.7 Max GPQA Diamond	90.2%
Vals AI	Qwen 3.7 Max Harvey's Legal Agent Benchmark v1	1.7%
Vals AI	Qwen 3.7 Max IOI v1	46.8%
Vals AI	Qwen 3.7 Max LiveCodeBench	87.1%
Vals AI	Qwen 3.7 Max LegalBench	84.9%
Vals AI	Qwen 3.7 Max Legal Research Bench	25.5%
Vals AI	Qwen 3.7 Max MedCode	38.8%
Vals AI	Qwen 3.7 Max MedScribe	79.4%
Vals AI	Qwen 3.7 Max MMLU Pro	89.3%
Vals AI	Qwen 3.7 Max ProofBench v1	26.0%
Vals AI	Qwen 3.7 Max SWE-bench	68.8%
Vals AI	Qwen 3.7 Max Tax Agent Bench	15.8%
Vals AI	Qwen 3.7 Max TaxEval v2	75.3%
Vals AI	Qwen 3.7 Max Terminal-Bench 2.1	61.0%
Vals AI	Qwen 3.7 Max Vals Index	44.8%
Vals AI	Qwen 3.7 Max Vibe Code Bench v1.1	47.7%

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.

3.36Btokens

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.

2.9Btokens

memstore

new

314Mtokens

DeepSeek Harness

new

252Mtokens

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

251Mtokens

Rest of OpenRouter

122M

Top 5 Apps

18.4M

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

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.

Text1M context$2 / $6

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: Qwen3.7 Max

Providers