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GLM-5.3

Flagship

by Z.ai (Zhipu AI)

GLM-5.3 is Z.ai's August 2026 flagship, and the interesting part is how it was built: not a new pretrain, but extended post-training on the same base as GLM-5.2. The gains are concentrated where that kind of work pays off. Terminal-Bench 3.0 jumped from 4.6 to 28.3, DeepSWE v1.1 went from 46.2 to 66.9, and independent evaluation puts it at 95.4 on SWE-bench Verified. Z.ai also reports 62.5 on Humanity's Last Exam with tools and a notable cybersecurity capability that emerged rather than being targeted, with 54.4 on ExploitBench and 84.5 on CyberGym. Pricing is $1.40 per million input tokens and $4.40 output, with a 1M token context window and 128K max output. It launched API-first through the Z.ai API and Coding Plan, and the weights have since landed ungated on Hugging Face at zai-org/GLM-5.3, roughly 753 billion parameters. Read the license before you deploy. It is a custom GLM-5.3 License rather than the plain MIT that covered GLM-5.2: permissive for almost everyone, but any Model-as-a-Service operator whose group revenue tops $10 billion over 12 months must pass a Z.ai security review before commercial use. Treat every score here as vendor-reported except the independently run SWE-bench figure.

Input Price

$1.40

per 1M tokens

Output Price

$4.40

per 1M tokens

Context Window

1.0M

tokens

Released

2026-08

Open source

Capabilities

texttool-usecodereasoning

Key Strengths

  • ✓Terminal-Bench 3.0 of 28.3, up from 4.6 on GLM-5.2
  • ✓95.4 on SWE-bench Verified from an independent evaluator
  • ✓1M token context with 128K max output
  • ✓$1.40/$4.40 pricing, far below comparable frontier coding models
  • ✓Emergent cybersecurity capability: 84.5 CyberGym, 54.4 ExploitBench

Best For

  • ▸Agentic coding and long-horizon software tasks
  • ▸Security research and exploit reasoning
  • ▸Cost-sensitive frontier workloads
  • ▸Self-hosted deployment for teams under the license revenue threshold

Benchmark Scores

BenchmarkScoreDescription
SWE-bench95.4Real-world software engineering tasks from GitHub issues (SWE-bench Verified)
MMLU-Pro86.8General knowledge and reasoning across 57 subjects
GPQA Diamond88.1Graduate-level science questions verified by domain experts
FrontierCode v1.140.1Agentic coding on frontier software engineering tasks (Main split)
Terminal-Bench 4.025.3Long-horizon agentic work in a terminal across software, science, ML, operations, hardware, security, and media (66 tasks, all-or-nothing verifiers)
Humanity's Last Exam (tools)62.5Multidisciplinary expert-level reasoning with tool access

Scores sourced from public benchmark datasets. See full benchmark leaderboard for all models.

Pricing Details

Input tokens

$1.40

per 1M tokens

Output tokens

$4.40

per 1M tokens

Estimated cost per 1K requests

$3.60

~1K input + ~500 output tokens avg

Prices are subject to change. Check the official documentation for current pricing. See the cost calculator for detailed estimates.

Open Source Model

GLM-5.3 is free to download and self-host under the GLM-5.3 License. Hosted API pricing varies by provider (e.g., Together, Fireworks, Groq). See our open source LLM guide for deployment options.

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