What is GLM-5 AI and who is it for?

GLM-5 AI is a frontier large language model for developers, researchers, product teams, and businesses that need strong reasoning, coding, long-context analysis, and agent-style workflows without locking into a single closed ecosystem.

Can I try GLM-5 before paying?

Yes. GLM-5 is positioned with a low-friction trial path so new users can test reasoning quality, code generation, long-context behavior, and API compatibility before moving into a larger production workflow.

How is GLM-5 different from other large language models?

GLM-5 is framed around practical performance with strong reasoning, coding depth, multilingual coverage, and agent readiness. It combines frontier-model capability, long context, and API access in one developer-ready workflow.

Does GLM-5 work for coding and agent workflows?

Yes. GLM-5 supports coding, planning, tool use, function-calling-style workflows, and long-context tasks across real product and engineering use cases. That makes GLM-5 useful for code assistants, internal tools, research workflows, and automation systems.

What workloads does GLM-5 work best for?

GLM-5 works well for the workloads teams actually ship, including coding assistants, research copilots, document analysis, multilingual chat, structured extraction, and agent systems that need strong instruction following.

Can businesses use GLM-5 for commercial products?

Yes. GLM-5 is described for commercial use cases such as SaaS features, developer tools, enterprise automation, customer support workflows, research systems, and AI product integrations.

Is GLM-5 built for rapid iteration?

Yes. GLM-5 is positioned as a fast iteration workflow where teams can test prompts, system behavior, tool use, and output quality quickly before expanding into production deployments.

Can teams use GLM-5 through browser and API workflows?

Yes. GLM-5 supports browser-based evaluation as well as API-driven integration, which matches how teams compare outputs manually and then move the model into applications, agents, and developer tooling.

What kind of teams benefit most from GLM-5?

GLM-5 is especially relevant for engineering teams, AI product builders, startups, enterprise automation teams, researchers, and developers who need a strong general-purpose model with coding and agent strengths.

Does GLM-5 work for product demos and API comparisons?

Yes. GLM-5 is well suited for benchmark pages, product demos, coding examples, API playgrounds, and agent workflow showcases, which helps align the homepage with commercial and developer search intent.

Why does the homepage mention GLM-5, Zhipu AI, and the GLM model family?

People search the model by brand, family, and version, so the homepage uses GLM-5 as the primary form while naturally supporting Zhipu AI and related GLM naming in descriptive copy. This improves discoverability without relying on obvious keyword stuffing.

What does GLM-5 promise in practical capability?

The GLM-5 positioning emphasizes reasoning depth, coding reliability, long-context handling, and agent readiness. In practice, GLM-5 is presented as a controllable production model for repeatable real-world AI workflows, not just a benchmark headline.

GLM 5.3 Is Officially Announced

GLM 5.3

GLM 5.3 is the new Zhipu AI (Z.ai) flagship large language model: 1M-token context, 128K maximum output, and top open-source coding benchmarks. Chat with GLM 5.3 free on glm5.app, and track pricing and open-source news here.

Start a GLM 5.3 Chat GLM 5.3 Benchmarks GLM 5.3 Specs

1 Credits

What Is the GLM 5.3 Model?

GLM 5.3 is the new flagship large language model from Zhipu AI (Z.ai), announced in August 2026, built on the GLM 5.2 base with large-scale long-horizon post-training.

The new Z.ai flagship

Z.ai newest flagship base model: 1M-token context window, 128K maximum output, and text-in, text-out modality.

Same base, far more training

It uses the GLM 5.2 base and adds tens of times more long-horizon post-training across real compute clusters, storage, docs, and codebases; Z.ai says coding feel improves by about 50%.

An honest release tracker

The GLM 5.3 model API is coming soon, so this page separates what Z.ai has confirmed (specs and benchmarks) from what is still pending (API ID, pricing, weights, and license).

GLM 5.3 Release Status: Confirmed Facts and Pending Details

Z.ai has confirmed the specs and benchmarks. API access, pricing, and open weights are still pending announcements.

Confirmed by Z.ai

Verified facts

Context window: 1M tokens
Maximum output: 128K tokens
Modality: Text in / text out
GLM Coding Plan: Live
Model API: Coming soon

Pending official details

Tracked expectations

API pricing: Unannounced
Open weights: Expected, unconfirmed
Parameters: Unpublished
Official model ID: Expected glm-5.3

Status is checked against Z.ai public communications as of August 2026. Details not marked as confirmed should be treated as unverified until Z.ai announces them.

Benchmarks / 02

GLM 5.3 benchmarks vs GLM 5.2: use them as a starting point

Z.ai reports large benchmark gains, but a score only applies to the published harness and date. Reproduce a task that resembles your own workflow before deciding.

Z.ai-reported result

Terminal-Bench 3.0

5.328.3

5.24.6

Z.ai reports 28.3 vs 4.6 for GLM 5.2 on Terminal-Bench 3.0 — the largest reported jump.

Z.ai-reported result

DeepSWE v1.1

5.366.9

5.246.2

Z.ai reports 66.9 vs 46.2 for GLM 5.2 on DeepSWE v1.1, a long-horizon engineering benchmark.

Z.ai-reported result

Agents' Last Exam

5.328.5

5.223.8

Z.ai reports 28.5 vs 23.8 for GLM 5.2 on Agents' Last Exam, covering agentic knowledge and reasoning.

Z.ai-reported result

CyberGym

5.384.5

GPT-5.6 Sol83.6

Z.ai reports 84.5 on CyberGym, slightly above GPT-5.6 Sol at 83.6 — a published result, not a guarantee for your security workflow.

Capabilities / 03

GLM 5.3 capabilities

It supports the standard developer stack for agentic and long-horizon work, with 1M-token context for project-scale tasks.

Thinking modes

Multiple thinking modes let you balance reasoning depth against latency, matching the task at hand.

Function calling

Strong tool-calling support for external integrations, with your application validating and executing every requested action.

Streaming output

Real-time streaming responses for interactive chat and agent loops.

Context caching

Smart caching optimizes long conversations and repeated context, cutting cost on long-horizon sessions.

Structured output

JSON and other structured output formats make system integration predictable.

MCP support

GLM 5.3 can call external MCP tools and data sources, extending agent workflows beyond chat.

Release timeline / 04

GLM 5.3 release timeline and news

The milestones that led to GLM 5.3, and what still needs to land, updated as Z.ai publishes official news.

Jun 16, 2026 — GLM 5.2 launches

GLM 5.2 launched for long-horizon tasks with a 1M-token context window and effort-level control.

Aug 2026 — GLM 5.3 announced

Z.ai published the official model page and benchmark results, naming it the new flagship built on the GLM 5.2 base.

Aug 2026 — Coding Plan goes live

The GLM Coding Plan subscription fully rolled out the model for coding tools like Claude Code, Cline, and OpenCode.

Next — GLM 5.3 model API

Z.ai says the API is coming soon. The official model ID, limits, and pricing will be updated here when announced.

Next — open weights and license

GLM 5.3 weights and license details are expected to follow the GLM 5.2 MIT precedent on Hugging Face, pending official confirmation.

Where GLM 5.3 news breaks first

Follow the Z.ai blog, the zai-org GitHub repository, and the official bigmodel docs for the first API announcements.

Who it is for / 05

Who uses GLM 5.3?

Aimed at teams doing long-horizon engineering, agentic workflows, and security review.

Application developers

Developers building coding assistants and IDE workflows benefit from the reported 50% coding feel gain and the 1M-token context for whole-repository work.

Agent builders

Agent teams use thinking modes, function calling, streaming, and MCP to build long-running autonomous workflows with clear stop conditions.

Security researchers

It shows strength in white-box code review and vulnerability discovery (CyberGym 84.5), useful as an assistant layer that experts still validate.

Long-horizon engineering teams

Teams working across tens of thousands of lines and dozens of files use it to plan refactors, fix bugs, and deliver projects with minimal hand-holding.

API and platform teams

Platform teams track API pricing and limits to budget for context caching and structured output before the official API goes live.

Open-source community

Self-hosters watch for open weights on Hugging Face to plan hardware, quantization, and license review, following the previous MIT precedent.

How to use GLM 5.3 / 06

How to use GLM 5.3

Available in glm5.app Chat today, with the official model API expected to follow.

Start a GLM 5.3 chat

Open GLM 5.3 Chat on glm5.app, describe the problem, constraints, and desired outcome, then refine the response with your own code and acceptance criteria.

Subscribe to the GLM Coding Plan

For coding-tool integrations today, the Z.ai Coding Plan already serves it in tools like Claude Code, Cline, and OpenCode.

Integrate when the API goes live

When Z.ai releases the official model API, this page will link the ID, limits, and pricing. Until then, use the GLM 5.3 chat option with the current glm5.app backend model.

Integration specimen

Start with the GLM 5.3 API

The official GLM 5.3 model API is coming soon from Z.ai. glm5.app exposes an OpenAI-compatible Chat Completions endpoint today, and the official model ID will be added here when published. Keep API keys on the server, start with a narrow request, and record the expected response shape before scaling.

Open API documentation

Request previewcurl

curl https://glm5.app/api/v1/chat/completions \
  -H "Authorization: Bearer $GLM5_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3",
    "messages": [{
      "role": "user",
      "content": "Plan this refactor and list the rollback steps."
    }]
  }'

GLM 5.3 FAQ

Clear GLM 5.3 answers about release date, pricing, benchmarks, Hugging Face, parameters, weights, the coding plan, and GLM 5.3 vs 5.2.

What is GLM 5.3?

GLM 5.3 is Z.ai new flagship large language model, announced in August 2026. It keeps the GLM 5.2 base with far larger long-horizon post-training and a 1M-token context.

When is the GLM 5.3 release date?

The official model page and benchmarks arrived in August 2026. The GLM Coding Plan already serves it, and the model API is expected to go live shortly.

What is GLM 5.3 pricing?

API pricing has not been published. For reference, the previous flagship costs about $1.40 input and $4.40 output per million tokens. glm5.app offers free chat credits, and pricing will be updated here once announced.

What are the GLM 5.3 benchmarks?

Z.ai reports Terminal-Bench 3.0 at 28.3 (vs 4.6), DeepSWE v1.1 at 66.9 (vs 46.2), Agents Last Exam at 28.5 (vs 23.8), and CyberGym at 84.5, all vs the previous model. Scores apply to the published harness only.

Is GLM 5.3 on Hugging Face?

Weights are not on Hugging Face yet. Z.ai open-sourced the previous model under the MIT license, so a release there is widely expected, but it has not been published as of August 2026.

How many parameters does GLM 5.3 have?

Parameter counts are unpublished; the official page lists 1M-token context and 128K maximum output. Totals likely follow the GLM 5 family MoE architecture.

Will GLM 5.3 weights be open source?

Weights are expected under the MIT license, following the previous release on Hugging Face. Z.ai has not confirmed the license yet, so treat open-weights details as unconfirmed.

What is the GLM 5.3 coding plan?

The GLM Coding Plan — Z.ai subscription for AI coding tools like Claude Code, Cline, and OpenCode — has fully rolled out the new model. It is a subscription, not an open API.

GLM 5.3 vs GLM 5.2: what changed?

The new model keeps the previous base with much larger long-horizon post-training; coding feel improves about 50%. Gains: Terminal-Bench 3.0 4.6 to 28.3, DeepSWE v1.1 46.2 to 66.9, plus white-box code review.

How can I use GLM 5.3 now?

Chat with it free in glm5.app Chat today; the GLM Coding Plan also serves it. The public model API is expected to go live soon, and this page will update with the official ID and limits when announced.

Is glm5.3 the same as GLM 5.3?

Yes — glm5.3, GLM-5.3, and GLM 5.3 are spelling variants of the same model. The API model ID is expected to be glm-5.3; glm5.app maps the GLM 5.3 chat option to its current backend until the official API goes live.

Start here

Start with GLM 5.3 today

Chat with GLM 5.3 free on glm5.app, and track the official API, pricing, and open-source news here.

Start a GLM 5.3 Chat Explore GLM 5.2 View Pricing

GLM 5.3

Create with GLM 5

What Is the GLM 5.3 Model?

The new Z.ai flagship

Same base, far more training

An honest release tracker

GLM 5.3 Release Status: Confirmed Facts and Pending Details

Verified facts

Tracked expectations

GLM 5.3 benchmarks vs GLM 5.2: use them as a starting point

Terminal-Bench 3.0

DeepSWE v1.1

Agents' Last Exam

CyberGym

GLM 5.3 capabilities

Thinking modes

Function calling

Streaming output

Context caching

Structured output

MCP support

GLM 5.3 release timeline and news

Jun 16, 2026 — GLM 5.2 launches

Aug 2026 — GLM 5.3 announced

Aug 2026 — Coding Plan goes live

Next — GLM 5.3 model API

Next — open weights and license

Where GLM 5.3 news breaks first

Who uses GLM 5.3?

Application developers

Agent builders

Security researchers

Long-horizon engineering teams

API and platform teams

Open-source community

How to use GLM 5.3

Start a GLM 5.3 chat

Subscribe to the GLM Coding Plan

Integrate when the API goes live

Start with the GLM 5.3 API

GLM 5.3 FAQ

What is GLM 5.3?

When is the GLM 5.3 release date?

What is GLM 5.3 pricing?

What are the GLM 5.3 benchmarks?

Is GLM 5.3 on Hugging Face?

How many parameters does GLM 5.3 have?

Will GLM 5.3 weights be open source?

What is the GLM 5.3 coding plan?

GLM 5.3 vs GLM 5.2: what changed?

How can I use GLM 5.3 now?

Is glm5.3 the same as GLM 5.3?

Start with GLM 5.3 today