GLM-5V-Turbo vs Hunyuan Large V2
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
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.
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GLM-5V-Turbo
AI Multimodal AsliGLM-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
$0.90 / 1M
$2.70 / 1M
200K tokens
N/A
Hunyuan Large V2
Model Unggulan Garis DepanHunyuan 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
$0.70 / 1M
$2.80 / 1M
512K tokens
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.
| Feature | GLM-5V-Turbo | Hunyuan Large V2 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 85 | 85 |
Provider | Zhipu AI | Tencent |
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 text | 512K tokens~768 A4 pages of text |
Max Output Tokens Per single request | 16K | 16K |
Throughput Speed Tokens generated per second | 85 tok/s | 80 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/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 frameworkEvaluations ongoing
Skor Benchmark Terverifikasi
Official evaluation metrics verified by independent third-party research labs.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Tokens emitted per second during active generation streaming.
Latensi & Waktu Respons
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulator Biaya Token Interaktif
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
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.
| Metric | GLM-5V-Turbo | Hunyuan Large V2 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.22 | $0.22 |
Output Tokens / Task Tokens generated per task | 20K | 22K |
Reasoning Tokens / Task Thinking tokens burned per task | 6K | 7K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | GLM-5V-Turbo | Hunyuan Large V2 |
|---|---|---|
| Official API Model ID (SDK) | glm-5v-turbo | hunyuan-large-v2 |
| API Protocol | Zhipu AI REST API (OpenAI-Compatible) | Tencent REST API (OpenAI-Compatible) |
| Release Date | 2026-04 | 2026-05 |
| Knowledge Cutoff | February 2026 | February 2026 |
| Architecture | Frontier Commercial Vision-Language Transformer | High-Scale Sparse Mixture-of-Experts Transformer |
| Parameters | Confidential | 500B total (30B active MoE) |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM | 5,000 – 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 window | Flat rate ($0.7/1M in) across full 512K window |
| Prompt Cache Policy & TTL | Cached input at $0.09/1M tokens | Cached input at $0.07/1M tokens |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools |
| Official Fine-Tuning Support | API Prompt Engineering & RAG Distillation | API Prompt Engineering & RAG Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) | Text BPE (~4 chars/token) |
| Quantization & Min GPU VRAM | Cloud-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 Classification | Zhipu AI Production Safety & Alignment Verified | Tencent Production Safety & Alignment Verified |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text, vision | text |
| Output Modalities | text | text |
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.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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).