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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

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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Related topics (12)
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

Hunyuan Large V2 dari Tencent dan Claude Opus 4.8 dari Anthropic adalah dua model AI unggulan. Hunyuan Large V2 menawarkan jendela konteks 512K token dengan harga $0.70/$2.80 per 1 juta token, sedangkan Claude Opus 4.8 menyediakan konteks 1M token seharga $5.00/$25.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Hunyuan Large V2

Model Unggulan Garis Depan

Hunyuan Large V2 dari Tencent adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 512K, kecepatan 80 token/detik, indeks kecerdasan 85/100, serta t

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

Model Unggulan Garis Depan

Claude Opus 4.8 dari Anthropic adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 1M, kecepatan 64 token/detik, indeks kecerdasan 67/100, serta ta

Intelligence Index67 / 100
Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

80.8%

Perbedaan Utama Sekilas

  • 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

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

Latensi & Waktu Respons

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

Simulator Biaya Token Interaktif

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

  • Jendela konteks 512K dengan kapasitas output maksimum hingga 16K token (GPQA Diamond 66% · MMLU-Pro 82.5%)
  • Kecepatan generasi tinggi 80 token/detik dengan latensi token pertama (TTFT) hanya 480 ms
  • Skema harga API kompetitif (tarif $0.7/$2.8 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Claude Opus 4.8 · Strengths & Key Advantages

  • Jendela konteks 1M dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 80.8% · GPQA Diamond 78.9%)
  • Kecepatan generasi tinggi 64 token/detik dengan latensi token pertama (TTFT) hanya 1650 ms
  • Skema harga API kompetitif (tarif $5/$25 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

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

Spesifikasi Teknis

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: Jawaban Cepat (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.

Kesimpulan

Baik Hunyuan Large V2 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude Opus 4.8 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Hunyuan Large V2 unggul dalam penalaran dan pemrograman, Hunyuan Large V2 memberikan kecepatan generasi token lebih tinggi, dan Hunyuan Large V2 lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Hunyuan Large V2 atau Claude Opus 4.8?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Hunyuan Large V2 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Hunyuan Large V2 vs Claude Opus 4.8?+

Hunyuan Large V2 mengenakan biaya $0.70 / $2.80 per 1M token input/output, sedangkan Claude Opus 4.8 sebesar $5.00 / $25.00. Secara keseluruhan, Hunyuan Large V2 lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Hunyuan Large V2 mendukung konteks 512K token dibandingkan 1M token pada Claude Opus 4.8, sementara Hunyuan Large V2 unggul dalam kecepatan output token per detik.

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.

Sumber resmi: Dokumentasi API resmi Tencent & Anthropic serta evaluasi benchmark independen (2026).