Zhipu AI

GLM-5V-Turbo

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial
IA Multimodal NativaOfficial Source Verified ↗
85
Intelligence Index

GLM-5V-Turbo de Zhipu AI es un modelo de IA diseñado para comprensión multimodal nativa de texto e imagen y análisis visual de documentos, con ventana de contexto de 200K, velocidad de 85 tokens/s, índice de inteligencia de 85/100 y tarifa de $0.9/$2.7 por 1M de tokens.

Technical Specifications

Provider
Zhipu AI
Category
flagship
Release Date
2026-04
Knowledge Cutoff
February 2026
Architecture
Frontier Commercial Vision-Language Transformer
Parameters
Confidential
Context Window
200K tokens
Max Output
16K tokens
Cached Input Price
$0.09 / 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, vision
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-5v-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 ($0.9/1M in) across full 200K window
Prompt Cache Write & TTL Policy
Cached input at $0.09/1M tokens
Computer Use & Browser GUI Agent
Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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) · Vision (~258–765 tokens per image tile)
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-5V-Turbo 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)
$70.20$94.50
Monthly Savings: $24.30 (Caching/Batch)
Subscription ($20/mo) vs API

For single-user chat, a $20/mo subscription caps your bill below this API volume.

Break-even point: ~142 requests/day equals $20/month.

Same Monthly Workload Cost Across Popular Reference Models

GLM-5V-Turbo (Active)
$70.20
/ 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-5V-Turbo:

Cascaded Monthly Bill:$31.05/mo
Saves $39.15/mo (56% cost reduction) vs sending 100% of traffic to GLM-5V-Turbo.

Benchmark Scores & 6-Axis Capability Radar

Benchmark Encyclopedia
Coding (88)Reasoning (74)Knowledge (81)Speed (57)Context (85)Cost Value (84)
GLM-5V-Turbo2026 Frontier Median
GPQA Diamond
64%
MMLU-Pro
81%
HumanEval
88%
Chatbot Arena Elo
1355pts

Strengths

  • Ventana de contexto de 200K con hasta 16K tokens de salida máxima (GPQA Diamond 64% · MMLU-Pro 81%)
  • Rendimiento ágil de 85 tokens/segundo con latencia inicial (TTFT) de solo 490 ms
  • Economía de API competitiva ($0.9/$2.7 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Limitations & Trade-offs

  • Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
  • En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Editorial Assessment

Con una puntuación de inteligencia de 85/100, contexto de 200K y 85 tok/s, GLM-5V-Turbo destaca como una opción sumamente sólida dentro del ecosistema de Zhipu AI.

Best for: Ideal para comprensión multimodal nativa de texto e imagen y análisis visual de documentos, sistemas RAG empresariales y automatización mediante API.

Frequently Asked Questions about GLM-5V-Turbo

How much does the GLM-5V-Turbo API cost per 1M tokens?+

GLM-5V-Turbo by Zhipu AI is priced at $0.9 per 1M input tokens and $2.7 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.09 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.

Should I use a $20/month subscription or the GLM-5V-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-5V-Turbo's context window?+

GLM-5V-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-5V-Turbo locally on my own GPU (Open Weights)?+

No, GLM-5V-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-5V-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-5V-Turbo perform on coding and reasoning benchmarks?+

GLM-5V-Turbo achieves a composite Intelligence Index of 85/100, scoring N/A% on SWE-bench Verified, 64% on GPQA Diamond, 81% on MMLU-Pro, and 1355 pts on Chatbot Arena Elo.

What is GLM-5V-Turbo best used for?+

GLM-5V-Turbo is best suited for: Ideal para comprensión multimodal nativa de texto e imagen y análisis visual de documentos, sistemas RAG empresariales y automatización mediante API.. Assessment: Con una puntuación de inteligencia de 85/100, contexto de 200K y 85 tok/s, GLM-5V-Turbo destaca como una opción sumamente sólida dentro del ecosistema de Zhipu AI.

Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.

Fuentes: Zhipu AI Cloud Documentation & Benchmarks↗