How much does Z.AI: GLM 5 cost?

Z.AI: GLM 5 costs $0.60 per 1M input tokens and $2.08 per 1M output tokens.

What is the context length of Z.AI: GLM 5?

Z.AI: GLM 5 has a 204,800 token context window.

Does Z.AI: GLM 5 support tool calling and structured outputs?

Yes. Z.AI: GLM 5 supports tool calling and structured outputs.

What inputs and outputs does Z.AI: GLM 5 support?

Z.AI: GLM 5 accepts text as input and returns text.

What other models does Z.AI have?

Z.AI: GLM 4.6, Z.AI: GLM 4.7, Z.ai: GLM 5.1 and 3 more are other models from Z.AI.

When was Z.AI: GLM 5 released?

Z.AI: GLM 5 was released on Feb 11, 2026.

GLM 5

Z.aiReleased Feb 11, 2026z-ai/glm-5

Compare

GLM-5 is Z.ai’s flagship open-source foundation model, built for complex system design and long-horizon agent workflows. Aimed at expert developers, it delivers production-grade results on large-scale programming tasks and competes with top closed-source models. With strong agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 goes beyond code generation to help design, build, and execute complete systems end-to-end.

Context

205K

Max output

131K

Input /1M

$0.30

Output /1M

$2.55

Blended /1M

$0.86

AcceptsTextProducesTextTokenizer Other

Providers

FastRouter routes your requests to this provider. You can also bring your own key.

ProviderInput /1MOutput /1MContextMax outputLatencyThroughput

DeepInfra

deepinfra

Input /1M$0.60

Output /1M$2.08

Context205K

Max output131K

Latency—

Throughput—

Supported parameters

Request parameters you can send with this model.

Core (Sampling & basic generation)

max_tokens: Maximum tokens to generate.
min_p: Minimum probability threshold for sampling.
seed: Seed for deterministic sampling.
stop: Sequences where generation stops.
temperature: Controls randomness of output.
top_k: Limits sampling to top K tokens.
top_p: Nucleus sampling threshold.

Penalties (Token Penalties)

frequency_penalty: Penalizes frequent tokens.
presence_penalty: Penalizes tokens already present.
repetition_penalty: Penalizes repeated tokens.

Reasoning (Reasoning Controls)

include_reasoning: Include reasoning trace in the response.
reasoning: Provider-specific reasoning configuration.

Tool Use (Function Calls & Tools)

tool_choice: How the model should use tools.
tools: Tool/function definitions available to the model.

Output & Format (Response Formatting)

logit_bias: Bias values for specific token IDs.

Performance

Median throughput and time to first token per provider over the last week.

Throughput

Latency

Make your first API call

OpenAI-compatible. Point your SDK at FastRouter, or call the API directly.

Full API docs

Replace <FASTROUTER_API_KEY> with your key · Get your key →Install

OpenAI SDKHTTP

from openai import OpenAI

client = OpenAI(

base_url="https://api.fastrouter.ai/api/v1", # FastRouter base URL

api_key= "<FASTROUTER_API_KEY>", # Replace with your FastRouter API key

)

completion = client.chat.completions.create(

model="z-ai/glm-5", # Replace with your model ID

messages=[

{ "role": "user", "content": "What is the meaning of life?" }

]

)

print(completion.choices[0].message.content)

Frequently asked questions

More models from Z.AI

GLM 4.6z-ai/glm-4.6

GLM-4.6 is the latest iteration in the GLM series by Zhipu AI, designed as a large language model with about 355 billion parameters in a Mixture of Experts (MoE) architecture. It is optimized for various complex tasks including real-world coding, long-context processing, advanced reasoning, intelligent agent applications, and refined writing. The model features an expanded context window of 200,000 tokens (up from 128,000 in GLM-4.5), allowing it to handle longer and more complex interactions such as extensive documents or multi-turn conversations.

GLM 4.7z-ai/glm-4.7

GLM-4.7 is Z.AI’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics.

GLM 5.1z-ai/glm-5.1

zai-org/GLM-5.1 is Z.AI's (formerly Zhipu AI) open-weight, instruction-tuned coding flagship model—a refreshed upgrade over GLM-5—excelling in agentic engineering, complex system programming, and long-horizon tasks with SOTA open-source performance approaching Claude Opus 4.6.

GLM 5.2z-ai/glm-5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

GLM-5.3z-ai/glm-5.3

GLM-5.3 is Z.ai’s latest GLM-5-series flagship, a 743B-parameter text-only foundation model post-trained from GLM-5.2 for frontier-level coding, long-horizon agentic workflows, and defensive cybersecurity analysis. It inherits GLM-5’s 200K-token context window and up to 128K-token outputs, supports advanced reasoning and tool use, and is initially exposed through Z.ai’s coding plan and forthcoming API access.

GLM-Imagez-ai/glm-image

GLM-Image is Z.AI's text-to-image generation model that quickly and accurately understands text descriptions to produce precise, personalized, high-quality images. It supports an 'hd' mode for more detailed and consistent output (~20s generation time) and a 'standard' mode optimized for faster generation (~5-10s), along with flexible custom resolutions from 1024px to 2048px per side.

Model scores sourced from ArtificialAnalysis