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Head-to-Head Model Comparison

Qwen3-VL Plus vs QwQ Plus

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-VL Plus vs QwQ Plus: Benchmarks, Pricing & Speed Comparison

Alibaba 的 Qwen3-VL Plus 与 Alibaba 的 QwQ Plus 是当前备受关注的两款主力 AI 模型。Qwen3-VL Plus 提供 262.1K Token 上下文窗口，API 定价为每百万 Token 输入 $0.50 / 输出 $2.00；而 QwQ Plus 提供 131.1K Token 上下文窗口，定价为每百万 Token 输入 $0.40 / 输出 $1.60。以下为两者的基准测试、延迟与成本全面对比。

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Popular Matchups:
Alibaba

Qwen3-VL Plus

原生多模态视觉模型

Alibaba 推出的 Qwen3-VL 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 262K 上下文窗口、80 Token/秒生成速度与 82/100 综合智能指数（每百万 Token $0.5 输入 / $2 输出）。

Intelligence Index82 / 100
Input Token:

$0.50 / 1M

Output Token:

$2.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

Alibaba

QwQ Plus

深度逻辑推理引擎

Alibaba 推出的 QwQ Plus 是一款专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理大模型，具备 131K 上下文窗口、70 Token/秒生成速度与 84/100 综合智能指数（每百万 Token $0.4 输入 / $1.6 输出）。

Intelligence Index84 / 100
Input Token:

$0.40 / 1M

Output Token:

$1.60 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

45%

核心差异一览

  • QwQ Plus is 1.2x cheaper for API usage (input + output tokens combined).
  • Qwen3-VL Plus has a larger context window (262K vs 131K tokens).
  • Qwen3-VL Plus is faster at 80 tok/s vs 70 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureQwen3-VL PlusQwQ Plus
Intelligence Index
Composite reasoning & knowledge score (0-100)
8284
Provider
AlibabaAlibaba
Input Price
Cost per million input tokens
$0.50 / 1M$0.40 / 1M
Output Price
Cost per million output tokens
$2.00 / 1M$1.60 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.34 / 1M$0.27 / 1M
Context Window
Maximum input + output tokens
262.1K tokens~393 A4 pages of text131.1K tokens~197 A4 pages of text
Max Output Tokens
Per single request
16K16K
Throughput Speed
Tokens generated per second
80 tok/s70 tok/s
SWE-bench Verified
Real-world software engineering
N/A45%
GPQA Diamond
Graduate-level reasoning
64%65.2%
Cached Input Price
Prompt caching discount per 1M tokens
$0.05 / 1M$0.04 / 1M

各项指标谁更胜一筹？

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
QwQ Plus
1.2x cheaper monthly runtime
Speed
Qwen3-VL Plus
+14% faster generation
Context
Qwen3-VL Plus
262.1K tokens window

权威基准测试得分对比

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

Qwen3-VL PlusQwQ Plus
SWE-bench Verified (Autonomous Coding)

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

N/Avs45%
GPQA Diamond (Doctorate-Level Science & Math)

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

64%vs65.2%
MMLU-Pro (Multi-task Language Understanding)

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

81%vs82%
LMSYS Chatbot Arena Elo

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

1345ptsvs1335pts
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs62%
AIME (Advanced Math Competition)

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

N/Avs80%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 tok/s vs70 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-VL Plus0.56s
QwQ Plus0.85s
Est. End-to-End Response (500 tokens)TTFT + generation time
Qwen3-VL Plus6.81s
QwQ Plus7.99s

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-VL Plus Monthly API Bill
$2.63 / month
$0.5/1M in · $2/1M out
QwQ Plus Monthly API Bill
$2.10 / month
$0.4/1M in · $1.6/1M out
QwQ Plus saves approximately $0.52 / month (20%) under this workload.1.2x Savings

Qwen3-VL Plus · 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（GPQA Diamond 64% · MMLU-Pro 81%）
  • 高达 80 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 560 毫秒
  • 极具竞争力的 API 定价（每百万 Token $0.5 输入 / $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

QwQ Plus · Strengths & Key Advantages

  • 提供 131K 上下文窗口与最高 16K 输出容量，核心基准表现优异（SWE-bench Verified 45% · GPQA Diamond 65.2%）
  • 高达 70 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 850 毫秒
  • 极具竞争力的 API 定价（每百万 Token $0.4 输入 / $1.6 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.

MetricQwen3-VL PlusQwQ Plus
Cost per Task
Estimated USD to finish one task
$0.16$0.12
Output Tokens / Task
Tokens generated per task
20K24K
Reasoning Tokens / Task
Thinking tokens burned per task
6K14K

技术规格参数

Architecture, release timeline, capabilities, and modalities.

FeatureQwen3-VL PlusQwQ Plus
Official API Model ID (SDK)qwen3-vl-plus-instructqwq-plus-instruct
API ProtocolAlibaba REST API (OpenAI-Compatible)Alibaba REST API (OpenAI-Compatible)
Release Date2025-092025-03
Knowledge CutoffJuly 2025January 2025
ArchitectureMultimodal Vision-Language Frontier TransformerDeep Reasoning Chain-of-Thought Transformer
ParametersConfidential32B (Distilled Reasoning Engine)
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.5/1M in) across full 262K windowFlat rate ($0.4/1M in) across full 131K window
Prompt Cache Policy & TTLCached input at $0.05/1M tokensCached input at $0.04/1M 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-VL Plus vs QwQ Plus: 常见问题解答 (FAQ)

Which is more intelligent, Qwen3-VL Plus or QwQ Plus?

QwQ Plus is more intelligent. It scores 84 compared with 82 on the composite Intelligence Index.

Which model is faster?

Qwen3-VL Plus is faster, generating 80 tokens per second compared with 70 tokens per second.

Which model is cheaper to run?

QwQ Plus is cheaper at $0.27 per 1M tokens blended, compared with $0.34 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen3-VL Plus has lower latency, with a time to first token of 0.56s compared with 0.85s.

Which model has a larger context window?

Qwen3-VL Plus has a larger context window, supporting 262.1K tokens compared with 131.1K tokens.

综合结论

综合来看，Qwen3-VL 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 QwQ Plus（适合：专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理任务、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：QwQ Plus 在综合智能与编程基准测试中表现更强，Qwen3-VL Plus 拥有更快的 Token 生成速度，而 QwQ 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-VL Plus 和 QwQ Plus 哪个更强？+

在综合智能指数与编程基准评测中，QwQ 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-VL Plus 与 QwQ Plus 的 API 价格哪个更便宜？+

Qwen3-VL Plus 的 API 价格为输入 $0.50 / 输出 $2.00（每百万 Token），QwQ Plus 为输入 $0.40 / 输出 $1.60。综合混合成本来看，QwQ 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-VL Plus 支持 262.1K Token 上下文窗口，而 QwQ Plus 支持 131.1K Token。在流式生成速度方面，Qwen3-VL 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)。