GetInfoUs
Head-to-Head Model Comparison

Kimi K2 Thinking Turbo vs Qwen3-VL 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
分享
Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Kimi K2 Thinking Turbo vs Qwen3-VL Plus: Benchmarks, Pricing & Speed Comparison

Moonshot AI 的 Kimi K2 Thinking Turbo 与 Alibaba 的 Qwen3-VL Plus 是当前备受关注的两款主力 AI 模型。Kimi K2 Thinking Turbo 提供 262.1K Token 上下文窗口，API 定价为每百万 Token 输入 $0.60 / 输出 $2.40；而 Qwen3-VL Plus 提供 262.1K Token 上下文窗口，定价为每百万 Token 输入 $0.50 / 输出 $2.00。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)

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.

Profile
Profile
Multi-Model Arena Stack:
5-Model Matrix Workbench
Popular Matchups:
Moonshot AI

Kimi K2 Thinking Turbo

深度逻辑推理引擎

Moonshot AI 推出的 Kimi K2 Thinking Turbo 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 262K 上下文窗口、90 Token/秒生成速度与 84/100 综合智能指数（每百万 Token $0.6 输入 / $2.4 输出）。

Intelligence Index84 / 100
Input Token:

$0.60 / 1M

Output Token:

$2.40 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

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

核心差异一览

  • Qwen3-VL Plus is 1.2x cheaper for API usage (input + output tokens combined).
  • Kimi K2 Thinking Turbo is faster at 90 tok/s vs 80 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureKimi K2 Thinking TurboQwen3-VL Plus
Intelligence Index
Composite reasoning & knowledge score (0-100)
8482
Provider
Moonshot AIAlibaba
Input Price
Cost per million input tokens
$0.60 / 1M$0.50 / 1M
Output Price
Cost per million output tokens
$2.40 / 1M$2.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.40 / 1M$0.34 / 1M
Context Window
Maximum input + output tokens
262.1K tokens~393 A4 pages of text262.1K tokens~393 A4 pages of text
Max Output Tokens
Per single request
16K16K
Throughput Speed
Tokens generated per second
90 tok/s80 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
GPQA Diamond
Graduate-level reasoning
68.5%64%
Cached Input Price
Prompt caching discount per 1M tokens
$0.06 / 1M$0.05 / 1M

各项指标谁更胜一筹？

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Qwen3-VL Plus
1.2x cheaper monthly runtime
Speed
Kimi K2 Thinking Turbo
+13% faster generation
Context
Tied
262.1K tokens window

权威基准测试得分对比

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

Kimi K2 Thinking TurboQwen3-VL Plus
GPQA Diamond (Doctorate-Level Science & Math)

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

68.5%vs64%
MMLU-Pro (Multi-task Language Understanding)

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

81.5%vs81%
LMSYS Chatbot Arena Elo

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

1365ptsvs1345pts
AIME (Advanced Math Competition)

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

81%vsN/A
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

90 tok/s vs80 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
Kimi K2 Thinking Turbo0.52s
Qwen3-VL Plus0.56s
Est. End-to-End Response (500 tokens)TTFT + generation time
Kimi K2 Thinking Turbo6.08s
Qwen3-VL Plus6.81s

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)
Kimi K2 Thinking Turbo Monthly API Bill
$3.15 / month
$0.6/1M in · $2.4/1M out
Qwen3-VL Plus Monthly API Bill
$2.63 / month
$0.5/1M in · $2/1M out
Qwen3-VL Plus saves approximately $0.52 / month (17%) under this workload.1.2x Savings

Kimi K2 Thinking Turbo · 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 68.5% · MMLU-Pro 81.5%）
  • 高达 90 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 520 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-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

Token Use & Task Economics

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

MetricKimi K2 Thinking TurboQwen3-VL Plus
Cost per Task
Estimated USD to finish one task
$0.18$0.16
Output Tokens / Task
Tokens generated per task
22K20K
Reasoning Tokens / Task
Thinking tokens burned per task
10K6K

技术规格参数

Architecture, release timeline, capabilities, and modalities.

FeatureKimi K2 Thinking TurboQwen3-VL Plus
Official API Model ID (SDK)kimi-k2-thinking-turboqwen3-vl-plus-instruct
API ProtocolMoonshot AI REST API (OpenAI-Compatible)Alibaba REST API (OpenAI-Compatible)
Release Date2025-112025-09
Knowledge CutoffSeptember 2025July 2025
ArchitectureHosted Accelerated Reasoning EngineMultimodal Vision-Language Frontier Transformer
ParametersConfidentialConfidential
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 ($0.6/1M in) across full 262K windowFlat rate ($0.5/1M in) across full 262K window
Prompt Cache Policy & TTLCached input at $0.06/1M tokensCached input at $0.05/1M tokens
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
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 ClassificationMoonshot AI 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 Modalitiestexttext, vision
Output Modalitiestexttext

Kimi K2 Thinking Turbo vs Qwen3-VL Plus: 常见问题解答 (FAQ)

Which is more intelligent, Kimi K2 Thinking Turbo or Qwen3-VL Plus?

Kimi K2 Thinking Turbo is more intelligent. It scores 84 compared with 82 on the composite Intelligence Index.

Which model is faster?

Kimi K2 Thinking Turbo is faster, generating 90 tokens per second compared with 80 tokens per second.

Which model is cheaper to run?

Qwen3-VL Plus is cheaper at $0.34 per 1M tokens blended, compared with $0.40 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Kimi K2 Thinking Turbo has lower latency, with a time to first token of 0.52s compared with 0.56s.

综合结论

综合来看，Kimi K2 Thinking Turbo（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。）与 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。）各具优势：Kimi K2 Thinking Turbo 在综合智能与编程基准测试中表现更强，Kimi K2 Thinking Turbo 拥有更快的 Token 生成速度，而 Qwen3-VL 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，Kimi K2 Thinking Turbo 和 Qwen3-VL Plus 哪个更强？+

在综合智能指数与编程基准评测中，Kimi K2 Thinking Turbo 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。

Kimi K2 Thinking Turbo 与 Qwen3-VL Plus 的 API 价格哪个更便宜？+

Kimi K2 Thinking Turbo 的 API 价格为输入 $0.60 / 输出 $2.40（每百万 Token），Qwen3-VL Plus 为输入 $0.50 / 输出 $2.00。综合混合成本来看，Qwen3-VL 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？+

Kimi K2 Thinking Turbo 支持 262.1K Token 上下文窗口，而 Qwen3-VL Plus 支持 262.1K Token。在流式生成速度方面，Kimi K2 Thinking Turbo 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: Moonshot AI 与 Alibaba 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。