Head-to-Head Model Comparison

Qwen3.5 Plus vs Gemini 3.1 Pro

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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Qwen3.5 PlusProfile

Gemini 3.1 ProProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

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%

Google

Gemini 3.1 Pro

顶级编程与软件工程

Google 推出的 Gemini 3.1 Pro 是一款专为自主软件工程、跨文件代码重构与复杂调试打造的旗舰编程大模型，具备 1.0M 上下文窗口、110 Token/秒生成速度与 86/100 综合智能指数（每百万 Token $2 输入 / $12 输出）。

Intelligence Index86 / 100

Input Token:

$2.00 / 1M

Output Token:

$12.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

74.5%

核心差异一览

Qwen3.5 Plus is 4.6x cheaper for API usage (input + output tokens combined).
Gemini 3.1 Pro has a larger context window (1M vs 1M tokens).
Gemini 3.1 Pro is faster at 110 tok/s vs 85 tok/s.
Gemini 3.1 Pro leads on SWE-bench coding (74.5% vs 64.0%).

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

Feature	Qwen3.5 Plus	Gemini 3.1 Pro
Intelligence Index Composite reasoning & knowledge score (0-100)	87	86
Provider	Alibaba	Google
Input Price Cost per million input tokens	$0.60 / 1M	$2.00 / 1M
Output Price Cost per million output tokens	$2.40 / 1M	$12.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.40 / 1M	$1.95 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	1.05M tokens~1,573 A4 pages of text
Max Output Tokens Per single request	16K	66K
Throughput Speed Tokens generated per second	85 tok/s	110 tok/s
SWE-bench Verified Real-world software engineering	64%	74.5%
GPQA Diamond Graduate-level reasoning	72%	86.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.06 / 1M	$0.50 / 1M

各项指标谁更胜一筹？

At-a-glance decision framework

Coding

Gemini 3.1 Pro

+10.5% SWE-bench lead

Cost

Qwen3.5 Plus

4.6x cheaper monthly runtime

Speed

Gemini 3.1 Pro

+29% faster generation

Context

Gemini 3.1 Pro

1.05M tokens window

权威基准测试得分对比

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

Qwen3.5 PlusGemini 3.1 Pro

SWE-bench Verified (Autonomous Coding)

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

64%vs74.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

72%vs86.5%

MMLU-Pro (Multi-task Language Understanding)

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

85%vs89.2%

LMSYS Chatbot Arena Elo

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

1410ptsvs1475pts

AIME (Advanced Math Competition)

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

N/Avs94%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs110 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

Gemini 3.1 Pro0.78s

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

Qwen3.5 Plus6.37s

Gemini 3.1 Pro5.33s

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)

Qwen3.5 Plus Monthly API Bill

$3.15 / month

$0.6/1M in · $2.4/1M out

Gemini 3.1 Pro Monthly API Bill

$14.55 / month

$2/1M in · $12/1M out

Qwen3.5 Plus saves approximately $11.40 / month (78%) under this workload.4.6x 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

Gemini 3.1 Pro · Strengths & Key Advantages

提供 1.0M 上下文窗口与最高 66K 输出容量，核心基准表现优异（SWE-bench Verified 74.5% · GPQA Diamond 86.5%）
高达 110 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 780 毫秒
极具竞争力的 API 定价（每百万 Token $2 输入 / $12 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.

Metric	Qwen3.5 Plus	Gemini 3.1 Pro
Cost per Task Estimated USD to finish one task	$0.19	$1.85
Output Tokens / Task Tokens generated per task	24K	52K
Reasoning Tokens / Task Thinking tokens burned per task	8K	26K

技术规格参数

Architecture, release timeline, capabilities, and modalities.

Feature	Qwen3.5 Plus	Gemini 3.1 Pro
Official API Model ID (SDK)	qwen3-5-plus-instruct	models/gemini-3-1-pro
API Protocol	Alibaba REST API (OpenAI-Compatible)	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2026-02	2026-02
Knowledge Cutoff	December 2025	November 2025
Architecture	Enterprise Million-Token Multimodal Transformer	Pathways High-Capacity Reasoning Architecture
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.6/1M in) across full 1000K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Cached input at $0.06/1M tokens	Implicit + Explicit Context Caching at $0.5/1M with configurable TTL
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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	Built-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	Vertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)
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	Google DeepMind Frontier Safety Framework 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, vision	text, vision, audio, video
Output Modalities	text	text

Qwen3.5 Plus vs Gemini 3.1 Pro: 常见问题解答 (FAQ)

Which is more intelligent, Qwen3.5 Plus or Gemini 3.1 Pro?

Qwen3.5 Plus is more intelligent. It scores 87 compared with 86 on the composite Intelligence Index.

Which model is faster?

Gemini 3.1 Pro is faster, generating 110 tokens per second compared with 85 tokens per second.

Which model is cheaper to run?

Qwen3.5 Plus is cheaper at $0.40 per 1M tokens blended, compared with $1.95 (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 0.78s.

Which model has a larger context window?

Gemini 3.1 Pro has a larger context window, supporting 1.05M tokens compared with 1M 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 Gemini 3.1 Pro（适合：专为自主软件工程、跨文件代码重构与复杂调试打造的旗舰编程任务、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：Qwen3.5 Plus 在综合智能与编程基准测试中表现更强，Gemini 3.1 Pro 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 Gemini 3.1 Pro 哪个更强？+

在综合智能指数与编程基准评测中，Qwen3.5 Plus 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 Gemini 3.1 Pro 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），Gemini 3.1 Pro 为输入 $2.00 / 输出 $12.00。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 Gemini 3.1 Pro 支持 1.05M Token。在流式生成速度方面，Gemini 3.1 Pro 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)

Qwen3.5 Plus vs Gemini 3.1 Pro

切换并对比任意模型

Qwen3.5 Plus

Gemini 3.1 Pro

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

Qwen3.5 Plus · Strengths & Key Advantages

Considerations & Trade-offs

Gemini 3.1 Pro · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

技术规格参数

Qwen3.5 Plus vs Gemini 3.1 Pro: 常见问题解答 (FAQ)

综合结论

常见问题 (FAQ)

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