Head-to-Head Model Comparison

GLM-5V-Turbo vs GLM-5-Turbo

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 GLM-5-Turbo: Benchmarks, Pricing & Speed Comparison

GLM-5V-Turbo dari Zhipu AI dan GLM-5-Turbo dari Zhipu AI adalah dua model AI unggulan. GLM-5V-Turbo menawarkan jendela konteks 200K token dengan harga $0.90/$2.70 per 1 juta token, sedangkan GLM-5-Turbo menyediakan konteks 200K token seharga $0.60/$1.80 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

Zhipu AI

GLM-5-Turbo

Inferensi Super Cepat

GLM-5-Turbo dari Zhipu AI adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 200K, kecepatan 95 token/detik, indeks kecerdasan 86/100, serta tarif

Intelligence Index86 / 100
Input Token:

$0.60 / 1M

Output Token:

$1.80 / 1M

Context Window:

200K tokens

SWE-bench Verified:

55%

Perbedaan Utama Sekilas

  • GLM-5-Turbo is 1.5x cheaper for API usage (input + output tokens combined).
  • GLM-5-Turbo is faster at 95 tok/s vs 85 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGLM-5V-TurboGLM-5-Turbo
Intelligence Index
Composite reasoning & knowledge score (0-100)
8586
Provider
Zhipu AIZhipu AI
Input Price
Cost per million input tokens
$0.90 / 1M$0.60 / 1M
Output Price
Cost per million output tokens
$2.70 / 1M$1.80 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.51 / 1M$0.34 / 1M
Context Window
Maximum input + output tokens
200K tokens~300 A4 pages of text200K tokens~300 A4 pages of text
Max Output Tokens
Per single request
16K16K
Throughput Speed
Tokens generated per second
85 tok/s95 tok/s
SWE-bench Verified
Real-world software engineering
N/A55%
GPQA Diamond
Graduate-level reasoning
64%65%
Cached Input Price
Prompt caching discount per 1M tokens
$0.09 / 1M$0.06 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
GLM-5-Turbo
1.5x cheaper monthly runtime
Speed
GLM-5-Turbo
+12% faster generation
Context
Tied
200K tokens window

Skor Benchmark Terverifikasi

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

GLM-5V-TurboGLM-5-Turbo
SWE-bench Verified (Autonomous Coding)

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

N/Avs55%
GPQA Diamond (Doctorate-Level Science & Math)

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

64%vs65%
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 vs95 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
GLM-5-Turbo0.42s
Est. End-to-End Response (500 tokens)TTFT + generation time
GLM-5V-Turbo6.37s
GLM-5-Turbo5.68s

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
GLM-5-Turbo Monthly API Bill
$2.61 / month
$0.6/1M in · $1.8/1M out
GLM-5-Turbo saves approximately $1.31 / month (33%) under this workload.1.5x 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

GLM-5-Turbo · Strengths & Key Advantages

  • Jendela konteks 200K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 55% · GPQA Diamond 65%)
  • Kecepatan generasi tinggi 95 token/detik dengan latensi token pertama (TTFT) hanya 420 ms
  • Skema harga API kompetitif (tarif $0.6/$1.8 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-TurboGLM-5-Turbo
Cost per Task
Estimated USD to finish one task
$0.22$0.16
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-TurboGLM-5-Turbo
Official API Model ID (SDK)glm-5v-turboglm-5-turbo
API ProtocolZhipu AI REST API (OpenAI-Compatible)Zhipu AI REST API (OpenAI-Compatible)
Release Date2026-042026-03
Knowledge CutoffFebruary 2026January 2026
ArchitectureFrontier Commercial Vision-Language TransformerHosted Accelerated 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 ($0.9/1M in) across full 200K windowFlat rate ($0.6/1M in) across full 200K window
Prompt Cache Policy & TTLCached input at $0.09/1M tokensCached input at $0.06/1M 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 VerifiedZhipu AI 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 GLM-5-Turbo: Jawaban Cepat (FAQ)

Which is more intelligent, GLM-5V-Turbo or GLM-5-Turbo?

GLM-5-Turbo is more intelligent. It scores 86 compared with 85 on the composite Intelligence Index.

Which model is faster?

GLM-5-Turbo is faster, generating 95 tokens per second compared with 85 tokens per second.

Which model is cheaper to run?

GLM-5-Turbo is cheaper at $0.34 per 1M tokens blended, compared with $0.51 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GLM-5-Turbo has lower latency, with a time to first token of 0.42s compared with 0.49s.

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 GLM-5-Turbo (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: GLM-5-Turbo unggul dalam penalaran dan pemrograman, GLM-5-Turbo memberikan kecepatan generasi token lebih tinggi, dan GLM-5-Turbo lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, GLM-5V-Turbo atau GLM-5-Turbo?+

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

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

GLM-5V-Turbo mengenakan biaya $0.90 / $2.70 per 1M token input/output, sedangkan GLM-5-Turbo sebesar $0.60 / $1.80. Secara keseluruhan, GLM-5-Turbo lebih hemat biaya.

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

GLM-5V-Turbo mendukung konteks 200K token dibandingkan 200K token pada GLM-5-Turbo, sementara GLM-5-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 & Zhipu AI serta evaluasi benchmark independen (2026).