Head-to-Head Model Comparison

GLM-5-Turbo vs GLM-4.5-Flash

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-5-Turbo vs GLM-4.5-Flash: Benchmarks, Pricing & Speed Comparison

GLM-5-Turbo dari Zhipu AI dan GLM-4.5-Flash dari Zhipu AI adalah dua model AI unggulan. GLM-5-Turbo menawarkan jendela konteks 200K token dengan harga $0.60/$1.80 per 1 juta token, sedangkan GLM-4.5-Flash menyediakan konteks 131.1K token seharga $0.01/$0.02 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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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%

Zhipu AI

GLM-4.5-Flash

Inferensi Super Cepat

GLM-4.5-Flash dari Zhipu AI adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 131K, kecepatan 170 token/detik, indeks kecerdasan 72/100, serta ta

Intelligence Index72 / 100
Input Token:

$0.01 / 1M

Output Token:

$0.02 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

  • GLM-4.5-Flash is 75.7x cheaper for API usage (input + output tokens combined).
  • GLM-5-Turbo has a larger context window (200K vs 131K tokens).
  • GLM-4.5-Flash is faster at 170 tok/s vs 95 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGLM-5-TurboGLM-4.5-Flash
Intelligence Index
Composite reasoning & knowledge score (0-100)
8672
Provider
Zhipu AIZhipu AI
Input Price
Cost per million input tokens
$0.60 / 1M$0.01 / 1M
Output Price
Cost per million output tokens
$1.80 / 1M$0.02 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.34 / 1M$0.00 / 1M
Context Window
Maximum input + output tokens
200K tokens~300 A4 pages of text131.1K tokens~197 A4 pages of text
Max Output Tokens
Per single request
16K8K
Throughput Speed
Tokens generated per second
95 tok/s170 tok/s
SWE-bench Verified
Real-world software engineering
55%N/A
GPQA Diamond
Graduate-level reasoning
65%N/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.06 / 1M$0.00 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
GLM-4.5-Flash
75.7x cheaper monthly runtime
Speed
GLM-4.5-Flash
+79% faster generation
Context
GLM-5-Turbo
200K tokens window

Skor Benchmark Terverifikasi

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

GLM-5-TurboGLM-4.5-Flash
SWE-bench Verified (Autonomous Coding)

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

55%vsN/A
GPQA Diamond (Doctorate-Level Science & Math)

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

65%vsN/A
MMLU-Pro (Multi-task Language Understanding)

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

82.5%vs68%
LMSYS Chatbot Arena Elo

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

1365ptsvs1240pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

95 tok/s vs170 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-5-Turbo0.42s
GLM-4.5-Flash0.22s
Est. End-to-End Response (500 tokens)TTFT + generation time
GLM-5-Turbo5.68s
GLM-4.5-Flash3.16s

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-5-Turbo Monthly API Bill
$2.61 / month
$0.6/1M in · $1.8/1M out
GLM-4.5-Flash Monthly API Bill
$0.03 / month
$0.01/1M in · $0.02/1M out
GLM-4.5-Flash saves approximately $2.58 / month (99%) under this workload.75.7x Savings

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

GLM-4.5-Flash · Strengths & Key Advantages

  • Jendela konteks 131K dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 68% · Arena Elo 1240)
  • Kecepatan generasi tinggi 170 token/detik dengan latensi token pertama (TTFT) hanya 220 ms
  • Skema harga API kompetitif (tarif $0.01/$0.02 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-5-TurboGLM-4.5-Flash
Cost per Task
Estimated USD to finish one task
$0.16$0.01
Output Tokens / Task
Tokens generated per task
22K10K
Reasoning Tokens / Task
Thinking tokens burned per task
7K0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureGLM-5-TurboGLM-4.5-Flash
Official API Model ID (SDK)glm-5-turboglm-4-5-flash
API ProtocolZhipu AI REST API (OpenAI-Compatible)Zhipu AI REST API (OpenAI-Compatible)
Release Date2026-032025-07
Knowledge CutoffJanuary 2026May 2025
ArchitectureHosted Accelerated Frontier TransformerUltra-High-Speed Distilled 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 ($0.6/1M in) across full 200K windowFlat rate ($0.01/1M in) across full 131K window
Prompt Cache Policy & TTLCached input at $0.06/1M tokensCached input at $0.001/1M tokens
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)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)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 Modalitiestexttext
Output Modalitiestexttext

GLM-5-Turbo vs GLM-4.5-Flash: Jawaban Cepat (FAQ)

Which is more intelligent, GLM-5-Turbo or GLM-4.5-Flash?

GLM-5-Turbo is more intelligent. It scores 86 compared with 72 on the composite Intelligence Index.

Which model is faster?

GLM-4.5-Flash is faster, generating 170 tokens per second compared with 95 tokens per second.

Which model is cheaper to run?

GLM-4.5-Flash is cheaper at $0.00 per 1M tokens blended, compared with $0.34 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GLM-4.5-Flash has lower latency, with a time to first token of 0.22s compared with 0.42s.

Which model has a larger context window?

GLM-5-Turbo has a larger context window, supporting 200K tokens compared with 131.1K tokens.

Kesimpulan

Baik 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.) maupun GLM-4.5-Flash (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-4.5-Flash memberikan kecepatan generasi token lebih tinggi, dan GLM-4.5-Flash lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, GLM-5-Turbo atau GLM-4.5-Flash?+

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-5-Turbo vs GLM-4.5-Flash?+

GLM-5-Turbo mengenakan biaya $0.60 / $1.80 per 1M token input/output, sedangkan GLM-4.5-Flash sebesar $0.01 / $0.02. Secara keseluruhan, GLM-4.5-Flash lebih hemat biaya.

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

GLM-5-Turbo mendukung konteks 200K token dibandingkan 131.1K token pada GLM-4.5-Flash, sementara GLM-4.5-Flash 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).