Zhipu más bajo-costo cloud API modelo que ofrece near-instant transmisión, alto concurrency, y zero costo nivel para desarrolladores.
Technical Specifications
- Provider
- Zhipu AI
- Category
- lightweight
- Release Date
- 2025-07
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- API Pay-as-you-go
- Reasoning Effort Control
- Fixed
- 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-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
GLM-4.5-Flash Cost, Context, Hardware & API Integration
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
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-4.5-Flash:
Benchmark Scores & 6-Axis Capability Radar
- MMLU-Pro
- 68%
- HumanEval
- 79%
- Chatbot Arena Elo
- 1240pts
Strengths
- Virtually free API precios ($0.01 / 1M entrada tokens) con generous desarrollador free tiers
- sub-250ms initial token latencia y alto transmisión bandwidth
- confiable JSON modo salida para alto-volumen datos transformation
Limitations & Trade-offs
- no suitable para profundo STEM razonamiento o complejo multithreaded codificación
- ventana de contexto limitado un 131K tokens
Editorial Assessment
el ultimate económico API choice en el Zhipu ecosistema, ofreciendo extreme velocidad un negligible costo.
Best for: alto-frequency clasificación, cliente chatbots, traducción, y automatizado web scrapers
Compare GLM-4.5-Flash
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: alto-frequency clasificación, cliente chatbots, traducción, y automatizado web scrapers. Assessment: el ultimate económico API choice en el Zhipu ecosistema, ofreciendo extreme velocidad un negligible costo.
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-Turbo
GLM-5
GLM-4.7-FlashX
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to GLM-4.5-Flash:
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.
Fuentes: Zhipu AI BigModel Platform Pricing↗