GLM-5

Z.ai (Zhipu)·Feb 2026reasoningopen weights · MIT

GLM-5 is Z.ai's (formerly Zhipu AI) open-weights flagship: a 744B-parameter mixture-of-experts that lands within roughly four points of Claude Opus 4.6 on SWE-bench Verified while costing $1/$3.20 per million tokens on the official API — and nothing at all if you host the MIT-licensed weights yourself. Part of the early-2026 wave of Chinese open releases pressing the closed frontier, it continues the GLM line's tradition of being the budget coding-agent engine of choice. The GLM-5.1 refresh (April 2026) pushed the line to #1 among open models on SWE-bench Pro.

Benchmark results

Where it shines

  • Near-Opus agentic coding from MIT-licensed weights
  • Thinking modes, context caching and 128K output
  • Aggressive API and subscription pricing

Alternatives to GLM-5

Frequently asked questions

How much does the GLM-5 API cost?
GLM-5 costs $1 per million input tokens and $3.2 per million output tokens, with cached input at $0.2 per million. A workload of 10M input and 1.5M output tokens per month costs about $14.80.
What is the context window of GLM-5?
GLM-5 supports a context window of 200,000 tokens (200K), with up to 128K output tokens per response.
Is GLM-5 open source?
Yes — GLM-5 is an open-weights model released under the MIT license, so it can be downloaded and self-hosted.
What are the best alternatives to GLM-5?
The closest alternatives by overall capability are Qwen3-Max, GPT-5.5, Gemini 3 Pro, Gemini 2.5 Pro. See the comparison pages for detailed head-to-head breakdowns.