Head-to-Head Model Comparison

Qwen3.7 Max vs Qwen3.6 Max Preview

Benchmarks, API Token Pricing, Context Window & Speed Comparison

由 GetInfoUs 研究团队审核最后审核日期：October 2026编辑政策

切换并对比任意模型

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Qwen3.7 MaxProfile

Qwen3.6 Max PreviewProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen3.7 Max

自主智能体与工具专家

Alibaba 推出的 Qwen3.7 Max 是一款专为长周期自主智能体 (Agent)、工具调用与自动化工作流打造的大模型，具备 1M 上下文窗口、80 Token/秒生成速度与 92/100 综合智能指数（每百万 Token $1.8 输入 / $7.2 输出）。

Intelligence Index92 / 100

Input Token:

$1.80 / 1M

Output Token:

$7.20 / 1M

Context Window:

1M tokens

SWE-bench Verified:

73.5%

Alibaba

Qwen3.6 Max Preview

旗舰前沿大模型

Alibaba 推出的 Qwen3.6 Max Preview 是一款面向复杂企业级推理、软件开发与全场景生产工作流的旗舰前沿大模型，具备 262K 上下文窗口、75 Token/秒生成速度与 90/100 综合智能指数（每百万 Token $1.5 输入 / $6 输出）。

Intelligence Index90 / 100

Input Token:

$1.50 / 1M

Output Token:

$6.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

70%

核心差异一览

Qwen3.6 Max Preview is 1.2x cheaper for API usage (input + output tokens combined).
Qwen3.7 Max has a larger context window (1M vs 262K tokens).
Qwen3.7 Max is faster at 80 tok/s vs 75 tok/s.
Qwen3.7 Max leads on SWE-bench coding (73.5% vs 70.0%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Qwen3.7 Max	Qwen3.6 Max Preview
Intelligence Index Composite reasoning & knowledge score (0-100)	92	90
Provider	Alibaba	Alibaba
Input Price Cost per million input tokens	$1.80 / 1M	$1.50 / 1M
Output Price Cost per million output tokens	$7.20 / 1M	$6.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.21 / 1M	$1.01 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	262.1K tokens~393 A4 pages of text
Max Output Tokens Per single request	32K	16K
Throughput Speed Tokens generated per second	80 tok/s	75 tok/s
SWE-bench Verified Real-world software engineering	73.5%	70%
GPQA Diamond Graduate-level reasoning	78.5%	76%
Cached Input Price Prompt caching discount per 1M tokens	$0.18 / 1M	$0.15 / 1M

各项指标谁更胜一筹？

At-a-glance decision framework

Coding

Qwen3.7 Max

+3.5% SWE-bench lead

Cost

Qwen3.6 Max Preview

1.2x cheaper monthly runtime

Speed

Qwen3.7 Max

+7% faster generation

Context

Qwen3.7 Max

1M tokens window

权威基准测试得分对比

Official evaluation metrics verified by independent third-party research labs.

Qwen3.7 MaxQwen3.6 Max Preview

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

73.5%vs70%

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

78.5%vs76%

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

88.5%vs87.5%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1470ptsvs1445pts

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

86%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 tok/s vs75 tok/s

延迟与响应速度

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Qwen3.7 Max0.58s

Qwen3.6 Max Preview0.54s

Est. End-to-End Response (500 tokens)TTFT + generation time

Qwen3.7 Max6.83s

Qwen3.6 Max Preview7.21s

实时 Token 成本模拟器

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Qwen3.7 Max Monthly API Bill

$9.45 / month

$1.8/1M in · $7.2/1M out

Qwen3.6 Max Preview Monthly API Bill

$7.88 / month

$1.5/1M in · $6/1M out

Qwen3.6 Max Preview saves approximately $1.58 / month (17%) under this workload.1.2x Savings

Qwen3.7 Max · Strengths & Key Advantages

提供 1M 上下文窗口与最高 32K 输出容量，核心基准表现优异（SWE-bench Verified 73.5% · GPQA Diamond 78.5%）
高达 80 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 580 毫秒
极具竞争力的 API 定价（每百万 Token $1.8 输入 / $7.2 输出），原生支持提示词缓存、函数调用与结构化 JSON 输出

Considerations & Trade-offs

闭源专有云端模型，不支持下载权重进行离线本地物理隔离部署
在超长链路的前沿科研推导任务上，深度略逊于顶配重型旗舰推理模型

Qwen3.6 Max Preview · Strengths & Key Advantages

提供 262K 上下文窗口与最高 16K 输出容量，核心基准表现优异（SWE-bench Verified 70% · GPQA Diamond 76%）
高达 75 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 540 毫秒
极具竞争力的 API 定价（每百万 Token $1.5 输入 / $6 输出），原生支持提示词缓存、函数调用与结构化 JSON 输出

Considerations & Trade-offs

闭源专有云端模型，不支持下载权重进行离线本地物理隔离部署
在超长链路的前沿科研推导任务上，深度略逊于顶配重型旗舰推理模型

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Qwen3.7 Max	Qwen3.6 Max Preview
Cost per Task Estimated USD to finish one task	$0.38	$0.32
Output Tokens / Task Tokens generated per task	32K	28K
Reasoning Tokens / Task Thinking tokens burned per task	14K	11K

技术规格参数

Architecture, release timeline, capabilities, and modalities.

Feature	Qwen3.7 Max	Qwen3.6 Max Preview
Official API Model ID (SDK)	qwen3-7-max-instruct	qwen3-6-max-preview-instruct
API Protocol	Alibaba REST API (OpenAI-Compatible)	Alibaba REST API (OpenAI-Compatible)
Release Date	2026-05	2026-04
Knowledge Cutoff	April 2026	March 2026
Architecture	Next-Generation Deep Frontier Reasoning Transformer	High-Scale Frontier Agentic Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($1.8/1M in) across full 1000K window	Flat rate ($1.5/1M in) across full 262K window
Prompt Cache Policy & TTL	Cached input at $0.18/1M tokens	Cached input at $0.15/1M tokens
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	API Prompt Engineering & RAG Distillation
Multimodal Token Billing	Text BPE (~4 chars/token)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	Alibaba Production Safety & Alignment Verified	Alibaba Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text	text
Output Modalities	text	text

Qwen3.7 Max vs Qwen3.6 Max Preview: 常见问题解答 (FAQ)

Which is more intelligent, Qwen3.7 Max or Qwen3.6 Max Preview?

Qwen3.7 Max is more intelligent. It scores 92 compared with 90 on the composite Intelligence Index.

Which model is faster?

Qwen3.7 Max is faster, generating 80 tokens per second compared with 75 tokens per second.

Which model is cheaper to run?

Qwen3.6 Max Preview is cheaper at $1.01 per 1M tokens blended, compared with $1.21 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen3.6 Max Preview has lower latency, with a time to first token of 0.54s compared with 0.58s.

Which model has a larger context window?

Qwen3.7 Max has a larger context window, supporting 1M tokens compared with 262.1K tokens.

综合结论

综合来看，Qwen3.7 Max（适合：专为长周期自主智能体 (Agent)、工具调用与自动化工作流打造的任务、企业级 RAG 检索增强生成、自动化智能体工作流与高可靠 API 集成。）与 Qwen3.6 Max Preview（适合：面向复杂企业级推理、软件开发与全场景生产工作流的旗舰前沿任务、企业级 RAG 检索增强生成、自动化智能体工作流与高可靠 API 集成。）各具优势：Qwen3.7 Max 在综合智能与编程基准测试中表现更强，Qwen3.7 Max 拥有更快的 Token 生成速度，而 Qwen3.6 Max Preview 则在规模化 API 部署中具备更高的成本效益。

常见问题 (FAQ)

在编程和深度推理方面，Qwen3.7 Max 和 Qwen3.6 Max Preview 哪个更强？+

在综合智能指数与编程基准评测中，Qwen3.7 Max 表现占优。建议结合上方的 SWE-bench Verified 与 GPQA Diamond 跑分根据具体场景选择。

Qwen3.7 Max 与 Qwen3.6 Max Preview 的 API 价格哪个更便宜？+

Qwen3.7 Max 的 API 价格为输入 $1.80 / 输出 $7.20（每百万 Token），Qwen3.6 Max Preview 为输入 $1.50 / 输出 $6.00。综合混合成本来看，Qwen3.6 Max Preview 更具性价比。

哪款模型拥有更大的上下文窗口和更快的响应速度？+

Qwen3.7 Max 支持 1M Token 上下文窗口，而 Qwen3.6 Max Preview 支持 262.1K Token。在流式生成速度方面，Qwen3.7 Max 的吞吐表现更快。

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Qwen3.7 Max vs Qwen3.6 Max Preview

切换并对比任意模型

Qwen3.7 Max

Qwen3.6 Max Preview

各项指标谁更胜一筹？

权威基准测试得分对比

延迟与响应速度

实时 Token 成本模拟器

Qwen3.7 Max · Strengths & Key Advantages

Considerations & Trade-offs

Qwen3.6 Max Preview · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

技术规格参数

Qwen3.7 Max vs Qwen3.6 Max Preview: 常见问题解答 (FAQ)

综合结论

常见问题 (FAQ)

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