Head-to-Head Model Comparison

GLM-5V-Turbo vs Hunyuan Large V2

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
GLM-5V-Turbo vs Hunyuan Large V2: Benchmarks, Pricing & Speed Comparison

GLM-5V-Turbo dari Zhipu AI dan Hunyuan Large V2 dari Tencent adalah dua model AI unggulan. GLM-5V-Turbo menawarkan jendela konteks 200K token dengan harga $0.90/$2.70 per 1 juta token, sedangkan Hunyuan Large V2 menyediakan konteks 512K token seharga $0.70/$2.80 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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GLM-5V-Turbo

AI Multimodal Asli

GLM-5V-Turbo dari Zhipu AI adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 200K, kecepatan 85 token/detik, indeks kecerdasan 85/100, serta tarif $0

Intelligence Index85 / 100
Input Token:

$0.90 / 1M

Output Token:

$2.70 / 1M

Context Window:

200K tokens

SWE-bench Verified:

N/A

Tencent

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

Perbedaan Utama Sekilas

  • Hunyuan Large V2 is 1.1x cheaper for API usage (input + output tokens combined).
  • Hunyuan Large V2 has a larger context window (512K vs 200K tokens).
  • GLM-5V-Turbo is faster at 85 tok/s vs 80 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGLM-5V-TurboHunyuan Large V2
Intelligence Index
Composite reasoning & knowledge score (0-100)
8585
Provider
Zhipu AITencent
Input Price
Cost per million input tokens
$0.90 / 1M$0.70 / 1M
Output Price
Cost per million output tokens
$2.70 / 1M$2.80 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.51 / 1M$0.47 / 1M
Context Window
Maximum input + output tokens
200K tokens~300 A4 pages of text512K tokens~768 A4 pages of text
Max Output Tokens
Per single request
16K16K
Throughput Speed
Tokens generated per second
85 tok/s80 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
GPQA Diamond
Graduate-level reasoning
64%66%
Cached Input Price
Prompt caching discount per 1M tokens
$0.09 / 1M$0.07 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Hunyuan Large V2
1.1x cheaper monthly runtime
Speed
GLM-5V-Turbo
+6% faster generation
Context
Hunyuan Large V2
512K tokens window

Skor Benchmark Terverifikasi

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

GLM-5V-TurboHunyuan Large V2
GPQA Diamond (Doctorate-Level Science & Math)

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

64%vs66%
MMLU-Pro (Multi-task Language Understanding)

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

81%vs82.5%
LMSYS Chatbot Arena Elo

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

1355ptsvs1365pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs80 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
GLM-5V-Turbo0.49s
Hunyuan Large V20.48s
Est. End-to-End Response (500 tokens)TTFT + generation time
GLM-5V-Turbo6.37s
Hunyuan Large V26.73s

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)
GLM-5V-Turbo Monthly API Bill
$3.92 / month
$0.9/1M in · $2.7/1M out
Hunyuan Large V2 Monthly API Bill
$3.67 / month
$0.7/1M in · $2.8/1M out
Hunyuan Large V2 saves approximately $0.24 / month (6%) under this workload.1.1x Savings

GLM-5V-Turbo · Strengths & Key Advantages

  • Jendela konteks 200K dengan kapasitas output maksimum hingga 16K token (GPQA Diamond 64% · MMLU-Pro 81%)
  • Kecepatan generasi tinggi 85 token/detik dengan latensi token pertama (TTFT) hanya 490 ms
  • Skema harga API kompetitif (tarif $0.9/$2.7 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

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

Token Use & Task Economics

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

MetricGLM-5V-TurboHunyuan Large V2
Cost per Task
Estimated USD to finish one task
$0.22$0.22
Output Tokens / Task
Tokens generated per task
20K22K
Reasoning Tokens / Task
Thinking tokens burned per task
6K7K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureGLM-5V-TurboHunyuan Large V2
Official API Model ID (SDK)glm-5v-turbohunyuan-large-v2
API ProtocolZhipu AI REST API (OpenAI-Compatible)Tencent REST API (OpenAI-Compatible)
Release Date2026-042026-05
Knowledge CutoffFebruary 2026February 2026
ArchitectureFrontier Commercial Vision-Language TransformerHigh-Scale Sparse Mixture-of-Experts Transformer
ParametersConfidential500B total (30B active MoE)
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 ($0.9/1M in) across full 200K windowFlat rate ($0.7/1M in) across full 512K window
Prompt Cache Policy & TTLCached input at $0.09/1M tokensCached input at $0.07/1M 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 ClassificationZhipu AI Production Safety & Alignment VerifiedTencent 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

GLM-5V-Turbo vs Hunyuan Large V2: Jawaban Cepat (FAQ)

Which model is faster?

GLM-5V-Turbo is faster, generating 85 tokens per second compared with 80 tokens per second.

Which model is cheaper to run?

Hunyuan Large V2 is cheaper at $0.47 per 1M tokens blended, compared with $0.51 (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 0.49s.

Which model has a larger context window?

Hunyuan Large V2 has a larger context window, supporting 512K tokens compared with 200K tokens.

Kesimpulan

Baik GLM-5V-Turbo (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Hunyuan Large V2 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: GLM-5V-Turbo unggul dalam penalaran dan pemrograman, GLM-5V-Turbo 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, GLM-5V-Turbo atau Hunyuan Large V2?+

Dalam indeks kecerdasan gabungan dan benchmark coding, GLM-5V-Turbo memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API GLM-5V-Turbo vs Hunyuan Large V2?+

GLM-5V-Turbo mengenakan biaya $0.90 / $2.70 per 1M token input/output, sedangkan Hunyuan Large V2 sebesar $0.70 / $2.80. Secara keseluruhan, Hunyuan Large V2 lebih hemat biaya.

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

GLM-5V-Turbo mendukung konteks 200K token dibandingkan 512K token pada Hunyuan Large V2, sementara GLM-5V-Turbo 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.

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 Zhipu AI & Tencent serta evaluasi benchmark independen (2026).