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Head-to-Head Model Comparison

Hunyuan Large V2 vs Claude Opus 4.8

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
Hunyuan Large V2 vs Claude Opus 4.8: Benchmarks, Pricing & Speed Comparison

Tencent 的 Hunyuan Large V2 与 Anthropic 的 Claude Opus 4.8 是当前备受关注的两款主力 AI 模型。Hunyuan Large V2 提供 512K Token 上下文窗口，API 定价为每百万 Token 输入 $0.70 / 输出 $2.80；而 Claude Opus 4.8 提供 1M Token 上下文窗口，定价为每百万 Token 输入 $5.00 / 输出 $25.00。以下为两者的基准测试、延迟与成本全面对比。

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Tencent

Hunyuan Large V2

旗舰前沿大模型

Tencent 推出的 Hunyuan Large V2 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 512K 上下文窗口、80 Token/秒生成速度与 85/100 综合智能指数（每百万 Token $0.7 输入 / $2.8 输出）。

Intelligence Index85 / 100
Input Token:

$0.70 / 1M

Output Token:

$2.80 / 1M

Context Window:

512K tokens

SWE-bench Verified:

N/A

Anthropic

Claude Opus 4.8

旗舰前沿大模型

Anthropic 推出的 Claude Opus 4.8 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 1M 上下文窗口、64 Token/秒生成速度与 67/100 综合智能指数（每百万 Token $5 输入 / $25 输出）。

Intelligence Index67 / 100
Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

80.8%

核心差异一览

  • Hunyuan Large V2 is 8.4x cheaper for API usage (input + output tokens combined).
  • Claude Opus 4.8 has a larger context window (1M vs 512K tokens).
  • Hunyuan Large V2 is faster at 80 tok/s vs 64 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureHunyuan Large V2Claude Opus 4.8
Intelligence Index
Composite reasoning & knowledge score (0-100)
8567
Provider
TencentAnthropic
Input Price
Cost per million input tokens
$0.70 / 1M$5.00 / 1M
Output Price
Cost per million output tokens
$2.80 / 1M$25.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.47 / 1M$3.85 / 1M
Context Window
Maximum input + output tokens
512K tokens~768 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
16K128K
Throughput Speed
Tokens generated per second
80 tok/s64 tok/s
SWE-bench Verified
Real-world software engineering
N/A80.8%
GPQA Diamond
Graduate-level reasoning
66%78.9%
Cached Input Price
Prompt caching discount per 1M tokens
$0.07 / 1M$0.50 / 1M

各项指标谁更胜一筹？

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Hunyuan Large V2
8.4x cheaper monthly runtime
Speed
Hunyuan Large V2
+25% faster generation
Context
Claude Opus 4.8
1M tokens window

权威基准测试得分对比

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

Hunyuan Large V2Claude Opus 4.8
SWE-bench Verified (Autonomous Coding)

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

N/Avs80.8%
GPQA Diamond (Doctorate-Level Science & Math)

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

66%vs78.9%
MMLU-Pro (Multi-task Language Understanding)

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

82.5%vs89.6%
LMSYS Chatbot Arena Elo

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

1365ptsvs1420pts
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

N/Avs54.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 tok/s vs64 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
Hunyuan Large V20.48s
Claude Opus 4.81.65s
Est. End-to-End Response (500 tokens)TTFT + generation time
Hunyuan Large V26.73s
Claude Opus 4.89.46s

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)
Hunyuan Large V2 Monthly API Bill
$3.67 / month
$0.7/1M in · $2.8/1M out
Claude Opus 4.8 Monthly API Bill
$30.75 / month
$5/1M in · $25/1M out
Hunyuan Large V2 saves approximately $27.07 / month (88%) under this workload.8.4x Savings

Hunyuan Large V2 · Strengths & Key Advantages

  • 提供 512K 上下文窗口与最高 16K 输出容量，核心基准表现优异（GPQA Diamond 66% · MMLU-Pro 82.5%）
  • 高达 80 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 480 毫秒
  • 极具竞争力的 API 定价（每百万 Token $0.7 输入 / $2.8 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

Claude Opus 4.8 · Strengths & Key Advantages

  • 提供 1M 上下文窗口与最高 128K 输出容量，核心基准表现优异（SWE-bench Verified 80.8% · GPQA Diamond 78.9%）
  • 高达 64 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 1650 毫秒
  • 极具竞争力的 API 定价（每百万 Token $5 输入 / $25 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.

MetricHunyuan Large V2Claude Opus 4.8
Cost per Task
Estimated USD to finish one task
$0.22$5.49
Output Tokens / Task
Tokens generated per task
22K72K
Reasoning Tokens / Task
Thinking tokens burned per task
7K37K

技术规格参数

Architecture, release timeline, capabilities, and modalities.

FeatureHunyuan Large V2Claude Opus 4.8
Official API Model ID (SDK)hunyuan-large-v2claude-opus-4-8-20260501
API ProtocolTencent REST API (OpenAI-Compatible)Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date2026-052026-05
Knowledge CutoffFebruary 2026March 2026
ArchitectureHigh-Scale Sparse Mixture-of-Experts TransformerFrontier Hybrid Cognitive Architecture
Parameters500B total (30B active MoE)Confidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.7/1M in) across full 512K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.07/1M tokens$0.5/1M cached read (90% off); 5-min default & 1-hour extended TTL
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 toolsNative Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationCustom Model Tuning via Amazon Bedrock & Prompt 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 ClassificationTencent Production Safety & Alignment VerifiedAnthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated
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

Hunyuan Large V2 vs Claude Opus 4.8: 常见问题解答 (FAQ)

Which is more intelligent, Hunyuan Large V2 or Claude Opus 4.8?

Hunyuan Large V2 is more intelligent. It scores 85 compared with 67 on the composite Intelligence Index.

Which model is faster?

Hunyuan Large V2 is faster, generating 80 tokens per second compared with 64 tokens per second.

Which model is cheaper to run?

Hunyuan Large V2 is cheaper at $0.47 per 1M tokens blended, compared with $3.85 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Hunyuan Large V2 has lower latency, with a time to first token of 0.48s compared with 1.65s.

Which model has a larger context window?

Claude Opus 4.8 has a larger context window, supporting 1M tokens compared with 512K tokens.

综合结论

综合来看，Hunyuan Large V2（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。）与 Claude Opus 4.8（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：Hunyuan Large V2 在综合智能与编程基准测试中表现更强，Hunyuan Large V2 拥有更快的 Token 生成速度，而 Hunyuan Large V2 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，Hunyuan Large V2 和 Claude Opus 4.8 哪个更强？+

在综合智能指数与编程基准评测中，Hunyuan Large V2 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。

Hunyuan Large V2 与 Claude Opus 4.8 的 API 价格哪个更便宜？+

Hunyuan Large V2 的 API 价格为输入 $0.70 / 输出 $2.80（每百万 Token），Claude Opus 4.8 为输入 $5.00 / 输出 $25.00。综合混合成本来看，Hunyuan Large V2 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？+

Hunyuan Large V2 支持 512K Token 上下文窗口，而 Claude Opus 4.8 支持 1M Token。在流式生成速度方面，Hunyuan Large V2 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: Tencent 与 Anthropic 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。