Hosted comercial accelerator del GLM-5 arquitectura que ofrece reduced latencia y optimized herramienta ejecución para demanding empresarial apps.
Technical Specifications
- Provider
- Zhipu AI
- Category
- flagship
- Release Date
- 2026-03
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- API Pay-as-you-go
- Reasoning Effort Control
- Configurable (Low / Med / High)
- Structured Outputs
- Yes
- Output Modalities
- text
- Official Documentation
- Visit Official Docs ↗
Data Privacy, Licensing & Deployment Governance
Official Provider Release Intelligence, API Quotas & Agentic Specs
- Official API Model ID (SDK String)
- glm-5-turbo
- Supported SDK & API Protocol
- Zhipu AI REST API (OpenAI-Compatible)
- Lifecycle & Deprecation Status
- Active GA (Guaranteed support through 2028+)
- 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 ($0.6/1M in) across full 200K window
- Prompt Cache Write & TTL Policy
- Cached input at $0.06/1M 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
GLM-5-Turbo Cost, Context, Hardware & API Integration
For single-user chat, a $20/mo subscription caps your bill below this API volume.
Break-even point: ~214 requests/day equals $20/month.
Same Monthly Workload Cost Across Popular Reference Models
Live Prompt Paste Tokenizer & Cost Counter
Paste real system instructions, JSON schemas, or code to measure BPE token counts across tokenizers.
Hybrid Prompt Routing Cascade Simulator
Route routine queries to a fast lightweight model ($0.15/1M) and escalate only complex reasoning turns to GLM-5-Turbo:
Benchmark Scores & 6-Axis Capability Radar
- SWE-bench Verified
- 55%
- GPQA Diamond
- 65%
- MMLU-Pro
- 82.5%
- HumanEval
- 92%
- Chatbot Arena Elo
- 1365pts
Strengths
- Reduced latencia y swift tiempo-un-primer-token en comparación con raw de código abierto clúster servicio
- confiable empresarial SLA backed por official Zhipu Cloud infraestructura
- económico $0.60/1M entrada precios para insignia-grade inteligencia
Limitations & Trade-offs
- propietario hosted endpoint rather que freely downloadable weights
- ventana de contexto es 200K en comparación con 1M en el upcoming GLM-5.2 nivel
Editorial Assessment
un rápido, polished hosted empresarial motor proporcionando alto-grade inteligencia un economical rates.
Best for: alto-rendimiento empresarial aplicaciones, code asistentes, y automatizado cliente flujos de trabajo
Compare GLM-5-Turbo
Frequently Asked Questions about GLM-5-Turbo
How much does the GLM-5-Turbo API cost per 1M tokens?+
GLM-5-Turbo by Zhipu AI is priced at $0.6 per 1M input tokens and $1.8 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.06 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $20/month subscription or the GLM-5-Turbo 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-5-Turbo's context window?+
GLM-5-Turbo features a 200K tokens context window, which equals approximately 150,000 English words or ~400 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 16,384 tokens.
Can I run GLM-5-Turbo locally on my own GPU (Open Weights)?+
No, GLM-5-Turbo 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-5-Turbo 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-5-Turbo perform on coding and reasoning benchmarks?+
GLM-5-Turbo achieves a composite Intelligence Index of 86/100, scoring 55% on SWE-bench Verified, 65% on GPQA Diamond, 82.5% on MMLU-Pro, and 1365 pts on Chatbot Arena Elo.
What is GLM-5-Turbo best used for?+
GLM-5-Turbo is best suited for: alto-rendimiento empresarial aplicaciones, code asistentes, y automatizado cliente flujos de trabajo. Assessment: un rápido, polished hosted empresarial motor proporcionando alto-grade inteligencia un economical rates.
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:
GLM-5.2
GLM-5.1
GLM-5V-Turbo
GLM-5
GLM-4.7-FlashX
GLM-4.7-Flash
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to GLM-5-Turbo:
La unidad básica de texto que procesa un modelo de lenguaje, que normalmente equivale a 3 o 4 caracteres o aproximadamente 0,75 palabras. Por ejemplo, una frase típica se divide en varios tokens.
Un conjunto estandarizado de pruebas para evaluar y comparar objetivamente las capacidades de distintos modelos de IA en tareas como programación (SWE-bench) o matemáticas avanzadas (AIME).
La cantidad máxima de tokens que un modelo puede considerar a la vez, incluyendo tanto la entrada que lee como la salida que genera. Una ventana de 1.000.000 de tokens puede procesar unas 750.000 palabras en una sola petición.
Un modelo de IA entrenado para invertir cómputo adicional en pensar y validar hipótesis lógicas antes de responder, diseñado para problemas complejos de ingeniería y matemáticas.
Una técnica de razonamiento paso a paso donde el modelo genera pensamientos intermedios antes de formular la respuesta final, mejorando radicalmente la resolución de problemas matemáticos y lógicos.
La capacidad de un modelo de detectar la necesidad de una función externa y emitir argumentos JSON estructurados para ejecutar API, búsquedas web o consultas a bases de datos.
Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.