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GLM 5 Turbo

  • Text Generation

GLM 5 Turbo is a fast, agent‑oriented large language model from Z.ai, optimized for low‑latency inference and long, tool‑using workflows. It is a speed‑tuned variant of the GLM‑5 series designed to handle extended chains of reasoning and actions in real-world applications.

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Providers Comparison

Speed

Output tokens per second · Higher is better

246
97
92
91
90
80
60
27
LLM API
SiliconFlow (FP8)
GMI
CoreWeave
Novita
DeepSeek
Parasail (FP8)
DeepInfra (FP4)

End-to-End Response Time

Seconds · Lower is better

65.1
8.1
19.8
20.4
20.9
23.1
24.6
30.6
LLM API
SiliconFlow (FP8)
GMI
CoreWeave
Novita
DeepSeek
Parasail (FP8)
DeepInfra (FP4)

Price

USD per 1M tokens (blended) · Lower is better

65.1
8.1
19.8
20.4
20.9
23.1
24.6
30.6
LLM API
SiliconFlow (FP8)
GMI
CoreWeave
Novita
DeepSeek
Parasail (FP8)
DeepInfra (FP4)

About the model

What is GLM 5 Turbo?

GLM 5 Turbo is a closed‑source, speed‑optimized version of Z.ai’s GLM‑5 large language model, built for high‑throughput text generation and agentic workflows. It is mainly used to power software agents that perform long execution chains with complex instruction decomposition and multi‑step tool use. It is also applied in coding assistants and automated operations where stable behavior over long contexts and fast response times are critical. GLM 5 Turbo belongs to the GLM‑5 model family, continuing Z.ai’s GLM series developed after earlier GLM 4.x generations.

Model capabilities

5 Core Capabilities

  • Conversational Chat

    Handles multi-turn conversations, follows instructions, and maintains context over long dialogues with fast responses optimized for production use.

  • Reasoning Tasks

    Performs multi-step logical reasoning, decomposing complex problems and synthesizing structured answers across scientific, mathematical, and strategic domains.

  • Code Generation

    Generates and edits code, supports agent-style coding workflows, and assists with debugging across multiple programming languages and frameworks.

  • Long-Form Writing

    Produces coherent long-form content such as articles, documentation, and narratives while following provided style, tone, and structural guidelines.

  • Multilingual Support

    Understands and generates text in multiple languages, enabling cross-lingual communication, content creation, and language adaptation tasks.

Use cases

6 Most Valuable Use Cases

  • Agentic Coding Assistants
  • Software Debug Automation
  • Customer Support Chatbots
  • Business Workflow Agents
  • Document Understanding Pipelines
  • System Monitoring Agents

Transparent pricing

Cost Comparison

LLM API offers the lowest cost and highest performance option for GLM 5 Turbo–class models.

Provider Region Latency Throughput Uptime Input ($/1M) Output ($/1M) Context
LLM API BEST Global 120ms 80 tps 99.99% $0.15 $0.15 128K
Z.ai Global ~220ms ~40 tps ~99.9% ~$0.20 ~$0.60 ~128K
OpenAI-compatible Gateway US East ~250ms ~35 tps ~99.9% ~$0.25 ~$0.75 ~128K
Custom Cloud Deployment EU West ~260ms ~30 tps ~99.5% ~$0.30 ~$0.80 ~64K

Performance benchmarks

Technical Specifications

Metric GLM 5 Turbo (Z.ai) GPT-4.1 Mini (OpenAI) Claude 3.5 Haiku (Anthropic)
Avg Latency ~180ms ~220ms ~250ms
Context Window 128K 128K 200K
Input Price ($/1M) $0.20 $0.15 $0.18
Output Price ($/1M) $0.60 $0.60 $0.72
Max Output Tokens 8K 8K 8K
Throughput 40 tps 35 tps 32 tps
Uptime 99.9% 99.9% 99.9%

30-day usage via LLM API

22.4B
Prompt tokens processed (last 30 days)
12.8M
API requests served
19.6B
Completion tokens generated
99.8%
Avg uptime over 30 days
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Architecture & Integration

Why Build on LLM.API?

One unified API. Every major model. Built-in reliability, cost control, and observability.

  • Unified AI Routing

    Dynamically route each request to the optimal model or provider based on latency, price, and quality—without changing your code or redeploying services.

    One endpoint, every model.

  • Cost-Aware Orchestration

    Automatically steer low-risk traffic to cheaper models while reserving premium models for critical paths, keeping performance high and infra spend predictable.

    Optimize tokens, not hacks.

  • Automatic Smart Fallbacks

    Define provider- and model-level fallback chains so outages, rate limits, or slow regions fail over seamlessly—no more brittle, provider-specific error handling.

    Resilience by default.

  • Full-Stack Observability

    Get unified traces, logs, latency, and cost metrics across all providers and models, wired into your existing APM and dashboards for real-time debugging.

    See every token hop.

  • Task-Level Abstractions

    Define tasks like chat, tools, embeddings, or rerank once and swap models underneath without changing payloads, glue code, or calling conventions.

    Code to tasks, not vendors.

  • High-Throughput Batch APIs

    Submit massive inference batches through a single pipeline with concurrency control, retry semantics, and cost visibility baked in for training data, evals, and backfills.

    Ship millions of calls safely.

Decision guide

When to Use — When NOT to Use

Use it if...

  • You need a cost-efficient general-purpose LLM for everyday chat, coding, and writing.
  • You need strong Chinese and English support for multilingual consumer or enterprise applications.
  • Your use case involves integrating an LLM via a simple HTTP API with familiar patterns.
  • You need fast inference for interactive assistants, chatbots, or basic agentic workflows.
  • Your use case involves typical software development tasks like code completion, refactoring, and debugging.
  • You need a commercially usable model with standard enterprise terms from a major Chinese provider.

Avoid if...

  • You need state-of-the-art reasoning on complex math, proofs, or adversarial benchmarks.
  • Your workload requires guaranteed compatibility with OpenAI-specific APIs, tools, or ecosystem features.
  • You need highly specialized domain performance validated by peer-reviewed benchmarks and regulatory certifications.
  • Your workload requires on-premise deployment with fully air-gapped infrastructure and offline updates.
  • You need tightly integrated vision, audio, and multimodal support beyond primarily text-based capabilities.
  • Your workload requires extremely long context handling comparable to the very latest frontier models.

FAQ

Frequently Asked Questions

  • What is GLM 5 Turbo?

    GLM 5 Turbo is a Z.ai language model accessible via LLM.API, designed for fast, cost‑efficient text generation and reasoning workloads.

  • What is GLM 5 Turbo best suited for?

    GLM 5 Turbo is best for general chat, code assistance, tool-using agents, and production workloads needing low latency and good reasoning at moderate context sizes.

  • What context window does GLM 5 Turbo support on LLM.API?

    GLM 5 Turbo supports a context window up to 32K tokens on LLM.API, suitable for moderately long conversations and documents.

  • How fast is GLM 5 Turbo in terms of latency?

    GLM 5 Turbo is optimized for low latency, typically returning first tokens within a few hundred milliseconds for short prompts, excluding network overhead.

  • What modalities does GLM 5 Turbo support through LLM.API?

    Through LLM.API, GLM 5 Turbo currently supports text-only input and output; it does not natively process images, audio, or video.

  • How is GLM 5 Turbo priced on LLM.API?

    GLM 5 Turbo uses a pay-as-you-go token-based pricing model on LLM.API, with separate per‑token rates for input and output usage.

  • How do I call GLM 5 Turbo via the LLM.API?

    You select the GLM 5 Turbo model name in your LLM.API request and send standard Chat Completions-style messages with your API key.

  • How does GLM 5 Turbo compare to similar turbo-class models?

    Compared to similar turbo-class models, GLM 5 Turbo targets a balance of strong reasoning, competitive pricing, and responsive throughput for mainstream applications.

  • What are the main limitations of GLM 5 Turbo?

    GLM 5 Turbo can hallucinate facts, struggles with very long multi-step reasoning beyond its context, and does not provide real-time or guaranteed correct information.

  • Can I fine-tune GLM 5 Turbo through LLM.API?

    Direct fine-tuning of GLM 5 Turbo is not supported on LLM.API; instead, you should use prompt engineering and system prompts to specialize behavior.

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