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Zhipu AI

GLM-4.5-Flash

Vérifié par l’équipe de recherche de GetInfoUsDernière révision : October 2026Politique éditoriale
GLM rapideOfficial Source Verified ↗
72
Intelligence Index

Zhipu le plus bas-coût cloud API modèle offrant near-instant diffusion continue, élevé concurrency, et zero coût palier pour développeurs.

Input / Output
$0.01 / $0.02
per 1M tokens
Context
131K tokens
window
Speed
170
tok/s
Latency
0.22s
TTFT

Technical Specifications

Provider
Zhipu AI
Category
lightweight
Release Date
2025-07
Knowledge Cutoff
May 2025
Architecture
Ultra-High-Speed Distilled Transformer
Parameters
Confidential
Context Window
131K tokens
Max Output
8K tokens
Cached Input Price
$0.001 / 1M tokens
Batch API Discount
50% off async batch
Consumer Subscription
API Pay-as-you-go
Reasoning Mode
Yes (Chain-of-Thought)
Reasoning Effort Control
Fixed
Tool Calling
Yes
Structured Outputs
Yes
Open Weights
No (Proprietary Cloud)
Input Modalities
text
Output Modalities
text
Official Documentation
Visit Official Docs ↗

Data Privacy, Licensing & Deployment Governance

API Data Training Policy
API payloads are excluded from model training by default
Model License & Commercial Rights
Proprietary Commercial API (Zhipu AI Terms)
Deployment & Cloud Availability
Zhipu AI Cloud API & Enterprise Endpoints
Output Ownership
Full commercial ownership of generated outputs

Official Provider Release Intelligence, API Quotas & Agentic Specs

Compare Multi-Models Side-by-Side →
Official API Model ID (SDK String)
glm-4-5-flash
Supported SDK & API Protocol
Zhipu AI REST API (OpenAI-Compatible)
Lifecycle & Deprecation Status
Active GA (Guaranteed support through 2027+)
Production Rate Limits (RPM & TPM)
5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Pricing Tier (>128K / >200K)
Flat rate ($0.01/1M in) across full 131K window
Prompt Cache Write & TTL Policy
Cached input at $0.001/1M tokens
Computer Use & Browser GUI Agent
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
Web Search Grounding & Code Sandbox
Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Fine-Tuning & Distillation Support
API Prompt Engineering & RAG Distillation
Multimodal Tokenization Billing
Text BPE (~4 chars/token)
Weights Precision & Quantization
Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster)
Minimum GPU VRAM Requirement
Zero Local VRAM Required (100% Serverless Cloud API)
Supported Inference Engines
Managed Zhipu AI Cloud API
System Card & Safety Framework
Zhipu AI Production Safety & Alignment Verified
Enterprise Compliance (SOC2 / HIPAA / ZDR)
SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Engineering & Pricing Workbench

GLM-4.5-Flash Cost, Context, Hardware & API Integration

500 / day
4,000 tok
1,000 tok
Conversation Depth (History Re-billing):1 Turn (Single-Shot)
50%
Estimated Monthly API Cost (30 Days)
$0.63$0.90
Monthly Savings: $0.27 (Caching/Batch)
Daily Cost:
$0.02
Cost per Request:
$0.00004
Effective Input / 1M:
$0.005
Effective Output / 1M:
$0.020
Subscription ($20/mo) vs API

Pay-as-you-go API is cheaper for this volume (saves $19.37/mo vs $20 flat plan).

Break-even point: ~15,873 requests/day equals $20/month.

Same Monthly Workload Cost Across Popular Reference Models

GLM-4.5-Flash (Active)
$0.63
/ month
Gemini 2.5 Flash
$18.00
/ month
DeepSeek V3
$32.70
/ month
GPT-4o
$300.00
/ month
Claude 3.7 Sonnet
$405.00
/ month

Live Prompt Paste Tokenizer & Cost Counter

Paste real system instructions, JSON schemas, or code to measure BPE token counts across tokenizers.

Chars / Words
175 / 24
OpenAI o200k
~46 tok
Claude BPE
~49 tok
Llama / DeepSeek
~51 tok

Hybrid Prompt Routing Cascade Simulator

Route routine queries to a fast lightweight model ($0.15/1M) and escalate only complex reasoning turns to GLM-4.5-Flash:

Cascaded Monthly Bill:$13.66/mo
This model is already priced at or below the fast router baseline.

Benchmark Scores & 6-Axis Capability Radar

Benchmark Encyclopedia
Coding (79)Reasoning (72)Knowledge (68)Speed (100)Context (75)Cost Value (94)
GLM-4.5-Flash2026 Frontier Median
MMLU-Pro
68%
HumanEval
79%
Chatbot Arena Elo
1240pts

Strengths

  • Virtually free API tarification ($0.01 / 1M entrée tokens) avec generous développeur free tiers
  • sous-250ms initial token latence et élevé diffusion continue bandwidth
  • fiable JSON mode sortie pour élevé-volume données transformation

Limitations & Trade-offs

  • pas suitable pour profond STEM raisonnement ou complexe multithreaded codage
  • fenêtre de contexte limité à 131K tokens

Editorial Assessment

le ultimate économique API choice dans le Zhipu écosystème, offrant extreme vitesse à negligible coût.

Best for: élevé-frequency classification, client chatbots, traduction, et automatisé web scrapers

Compare GLM-4.5-Flash

GLM-4.5-Flash vs Gemini 2.5 FlashGLM-4.5-Flash vs GLM-5-TurboGLM-4.5-Flash vs Gemini 4 ArgonGLM-4.5-Flash vs GPT-6 AstraGLM-4.5-Flash vs Claude Opus 5.5GLM-4.5-Flash vs GPT-6.1 Sol

Frequently Asked Questions about GLM-4.5-Flash

How much does the GLM-4.5-Flash API cost per 1M tokens?+

GLM-4.5-Flash by Zhipu AI is priced at $0.01 per 1M input tokens and $0.02 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.001 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.

Should I use a $20/month subscription or the GLM-4.5-Flash pay-as-you-go API?+

A flat $20/month consumer subscription is predictable for daily interactive chat and manual coding. However, if you are building software, running automated workflows, or sending low-to-moderate volume with prompt caching enabled, the pay-as-you-go API is typically far more cost-effective and offers higher rate limits without manual UI caps.

How many words and pages fit in GLM-4.5-Flash's context window?+

GLM-4.5-Flash features a 131K tokens context window, which equals approximately 98,304 English words or ~262 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 8,192 tokens.

Can I run GLM-4.5-Flash locally on my own GPU (Open Weights)?+

No, GLM-4.5-Flash is a proprietary closed-weights model hosted by Zhipu AI. It cannot be downloaded for local GPU execution and must be accessed via Zhipu AI's official API or cloud platform.

Does Zhipu AI train on data sent to the GLM-4.5-Flash API, and is commercial use allowed?+

API payloads are excluded from model training by default. License tier: Proprietary Commercial API (Zhipu AI Terms). Full commercial ownership of generated outputs. Supported deployment channels include: Zhipu AI Cloud API & Enterprise Endpoints.

How does GLM-4.5-Flash perform on coding and reasoning benchmarks?+

GLM-4.5-Flash achieves a composite Intelligence Index of 72/100, scoring N/A% on SWE-bench Verified, N/A% on GPQA Diamond, 68% on MMLU-Pro, and 1240 pts on Chatbot Arena Elo.

What is GLM-4.5-Flash best used for?+

GLM-4.5-Flash is best suited for: élevé-frequency classification, client chatbots, traduction, et automatisé web scrapers. Assessment: le ultimate économique API choice dans le Zhipu écosystème, offrant extreme vitesse à negligible coût.

Zhipu AI Family Lineage, Routing Tiers & Upgrade Path

Step down to a lighter sibling for high-volume routing or step up to Zhipu AI's flagship reasoning tier:

Fast Router / Budget Tier2026-06

GLM-5.2

$0 / $0 · 1M tokensIQ 91
Fast Router / Budget Tier2026-04

GLM-5.1

$0 / $0 · 200K tokensIQ 89
Higher-Intelligence Upgrade2026-04

GLM-5V-Turbo

$0.9 / $2.7 · 200K tokensIQ 85
Higher-Intelligence Upgrade2026-03

GLM-5-Turbo

$0.6 / $1.8 · 200K tokensIQ 86
Fast Router / Budget Tier2026-02

GLM-5

$0 / $0 · 205K tokensIQ 87
Higher-Intelligence Upgrade2026-01

GLM-4.7-FlashX

$0.02 / $0.04 · 200K tokensIQ 76

AI Glossary & Architecture Concepts

View full glossary →

Key machine learning concepts and benchmarks relevant to GLM-4.5-Flash:

Jeton (Token)

L'unité textuelle de base traitée par un modèle linguistique, représentant généralement 3 à 4 caractères ou environ 0,75 mot. Par exemple, une phrase courante est découpée en plusieurs jetons.

Benchmark (Banc d’essai)

Une suite de tests standardisés permettant d'évaluer et de comparer objectivement les performances des modèles d'IA sur des tâches ciblées (code avec SWE-bench, mathématiques avec AIME, etc.).

Fenêtre de contexte

Le nombre maximal de jetons qu'un modèle peut traiter simultanément (entrée et sortie comprises). Une fenêtre de 1 000 000 jetons permet d'analyser environ 750 000 mots en une seule requête.

Modèle de raisonnement

Un modèle d'IA entraîné par apprentissage par renforcement pour allouer du temps de calcul à la réflexion logique avant d'émettre une solution, idéal pour les problèmes scientifiques et le code complexe.

Chaîne de pensée (CoT)

Une méthode de raisonnement pas-à-pas où le modèle décompose le problème en étapes logiques intermédiaires avant de conclure, augmentant drastiquement la précision en mathématiques et programmation.

Appel d'outils (Tool Calling)

La capacité d'un LLM à déterminer quand une action externe est requise et à générer des arguments structurés pour invoquer des API, calculatrices ou bases de données avant de poursuivre.

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Les scores de benchmarks, tarifs par token et limites évoluent rapidement. Vérifiez toujours les spécifications actuelles sur la documentation officielle du fournisseur.

Sources: Zhipu AI BigModel Platform Pricing↗