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Head-to-Head Model Comparison

Qwen3.5 Plus vs Qwen3 Max

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
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Qwen3.5 Plus vs Qwen3 Max: Benchmarks, Pricing & Speed Comparison

Alibaba 的 Qwen3.5 Plus 与 Alibaba 的 Qwen3 Max 是当前备受关注的两款主力 AI 模型。Qwen3.5 Plus 提供 1M Token 上下文窗口，API 定价为每百万 Token 输入 $0.60 / 输出 $2.40；而 Qwen3 Max 提供 262.1K Token 上下文窗口，定价为每百万 Token 输入 $2.00 / 输出 $6.00。以下为两者的基准测试、延迟与成本全面对比。

模型直接对比 (VS)

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Popular Matchups:
Alibaba

Qwen3.5 Plus

原生多模态视觉模型

Alibaba 推出的 Qwen3.5 Plus 是一款原生支持图文多模态理解、视觉图表解析与跨模态推理的大模型，具备 1M 上下文窗口、85 Token/秒生成速度与 87/100 综合智能指数（每百万 Token $0.6 输入 / $2.4 输出）。

Intelligence Index87 / 100
Input Token:

$0.60 / 1M

Output Token:

$2.40 / 1M

Context Window:

1M tokens

SWE-bench Verified:

64%

Alibaba

Qwen3 Max

自主智能体与工具专家

Alibaba 推出的 Qwen3 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 262K 上下文窗口、72 Token/秒生成速度与 88/100 综合智能指数（每百万 Token $2 输入 / $6 输出）。

Intelligence Index88 / 100
Input Token:

$2.00 / 1M

Output Token:

$6.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

62.5%

核心差异一览

  • Qwen3.5 Plus is 2.9x cheaper for API usage (input + output tokens combined).
  • Qwen3.5 Plus has a larger context window (1M vs 262K tokens).
  • Qwen3.5 Plus is faster at 85 tok/s vs 72 tok/s.
  • Qwen3.5 Plus leads on SWE-bench coding (64.0% vs 62.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureQwen3.5 PlusQwen3 Max
Intelligence Index
Composite reasoning & knowledge score (0-100)
8788
Provider
AlibabaAlibaba
Input Price
Cost per million input tokens
$0.60 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$2.40 / 1M$6.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.40 / 1M$1.28 / 1M
Context Window
Maximum input + output tokens
1M tokens~1,500 A4 pages of text262.1K tokens~393 A4 pages of text
Max Output Tokens
Per single request
16K16K
Throughput Speed
Tokens generated per second
85 tok/s72 tok/s
SWE-bench Verified
Real-world software engineering
64%62.5%
GPQA Diamond
Graduate-level reasoning
72%71.2%
Cached Input Price
Prompt caching discount per 1M tokens
$0.06 / 1M$0.40 / 1M

各项指标谁更胜一筹？

At-a-glance decision framework
Coding
Qwen3.5 Plus
+1.5% SWE-bench lead
Cost
Qwen3.5 Plus
2.9x cheaper monthly runtime
Speed
Qwen3.5 Plus
+18% faster generation
Context
Qwen3.5 Plus
1M tokens window

权威基准测试得分对比

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

Qwen3.5 PlusQwen3 Max
SWE-bench Verified (Autonomous Coding)

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

64%vs62.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

72%vs71.2%
MMLU-Pro (Multi-task Language Understanding)

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

85%vs84.5%
LMSYS Chatbot Arena Elo

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

1410ptsvs1395pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs72 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
Qwen3.5 Plus0.49s
Qwen3 Max0.59s
Est. End-to-End Response (500 tokens)TTFT + generation time
Qwen3.5 Plus6.37s
Qwen3 Max7.53s

实时 Token 成本模拟器

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

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Qwen3.5 Plus Monthly API Bill
$3.15 / month
$0.6/1M in · $2.4/1M out
Qwen3 Max Monthly API Bill
$9.00 / month
$2/1M in · $6/1M out
Qwen3.5 Plus saves approximately $5.85 / month (65%) under this workload.2.9x Savings

Qwen3.5 Plus · Strengths & Key Advantages

  • 提供 1M 上下文窗口与最高 16K 输出容量，核心基准表现优异（SWE-bench Verified 64% · GPQA Diamond 72%）
  • 高达 85 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 490 毫秒
  • 极具竞争力的 API 定价（每百万 Token $0.6 输入 / $2.4 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 Max · 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 62.5% · GPQA Diamond 71.2%）
  • 高达 72 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 590 毫秒
  • 极具竞争力的 API 定价（每百万 Token $2 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
  • 在大规模高频调用场景下，建议结合提示词缓存 (Prompt Caching) 与批量 API 以控制成本

Token Use & Task Economics

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

MetricQwen3.5 PlusQwen3 Max
Cost per Task
Estimated USD to finish one task
$0.19$0.28
Output Tokens / Task
Tokens generated per task
24K25K
Reasoning Tokens / Task
Thinking tokens burned per task
8K10K

技术规格参数

Architecture, release timeline, capabilities, and modalities.

FeatureQwen3.5 PlusQwen3 Max
Official API Model ID (SDK)qwen3-5-plus-instructqwen3-max-instruct
API ProtocolAlibaba REST API (OpenAI-Compatible)Alibaba REST API (OpenAI-Compatible)
Release Date2026-022025-09
Knowledge CutoffDecember 2025July 2025
ArchitectureEnterprise Million-Token Multimodal TransformerAdvanced Dense/MoE Hybrid Frontier Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.6/1M in) across full 1000K windowFlat rate ($2/1M in) across full 262K window
Prompt Cache Policy & TTLCached input at $0.06/1M tokensCached input at $0.4/1M tokens
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMCloud-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 ClassificationAlibaba Production Safety & Alignment VerifiedAlibaba Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, visiontext
Output Modalitiestexttext

Qwen3.5 Plus vs Qwen3 Max: 常见问题解答 (FAQ)

Which is more intelligent, Qwen3.5 Plus or Qwen3 Max?

Qwen3 Max is more intelligent. It scores 88 compared with 87 on the composite Intelligence Index.

Which model is faster?

Qwen3.5 Plus is faster, generating 85 tokens per second compared with 72 tokens per second.

Which model is cheaper to run?

Qwen3.5 Plus is cheaper at $0.40 per 1M tokens blended, compared with $1.28 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen3.5 Plus has lower latency, with a time to first token of 0.49s compared with 0.59s.

Which model has a larger context window?

Qwen3.5 Plus has a larger context window, supporting 1M tokens compared with 262.1K tokens.

综合结论

综合来看，Qwen3.5 Plus（适合：原生支持图文多模态理解、视觉图表解析与跨模态推理的任务、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 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。）各具优势：Qwen3 Max 在综合智能与编程基准测试中表现更强，Qwen3.5 Plus 拥有更快的 Token 生成速度，而 Qwen3.5 Plus 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，Qwen3.5 Plus 和 Qwen3 Max 哪个更强？+

在综合智能指数与编程基准评测中，Qwen3 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。

Qwen3.5 Plus 与 Qwen3 Max 的 API 价格哪个更便宜？+

Qwen3.5 Plus 的 API 价格为输入 $0.60 / 输出 $2.40（每百万 Token），Qwen3 Max 为输入 $2.00 / 输出 $6.00。综合混合成本来看，Qwen3.5 Plus 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？+

Qwen3.5 Plus 支持 1M Token 上下文窗口，而 Qwen3 Max 支持 262.1K Token。在流式生成速度方面，Qwen3.5 Plus 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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

数据来源: Alibaba 与 Alibaba 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。