GLM-5.2
Z.ai's 13 Jun 2026 open-weight flagship, and the model that held the top open-weight slot until Kimi K3 landed a month later. 744B MoE / ~40B active, MIT-licensed weights on Hugging Face, 1M context, 131K max output. $1.40 input / $4.40 output per 1M tokens ($0.26 cached) — a blended ~$0.90/1M. The headline result is SWE-bench Pro 62.1%, which beats GPT-5.5's 58.6%: an MIT-licensed model you can self-host outscoring a $5/$30 US flagship on agentic coding. Also the fastest of the big open MoEs at ~168 tokens/sec, roughly 2.7x Kimi K3 and DeepSeek V4 Pro. Self-hosting needs about 1TB VRAM in BF16, or ~8x H200 at FP8.
1M
tokens
131K
tokens
$1.4
per 1M tokens
$4.4
per 1M tokens
168
tokens/sec
Jun 2026
2026-06-13
$2.90
per 1M tokens
31.4
quality per $
Capabilities
Benchmarks
Compare With
Open Source: Licensed under MIT
About GLM-5.2
GLM-5.2 is a open-source AI model by Z.ai (Zhipu AI), released on June 13, 2026. It supports a context window of 1000K tokens and can generate up to 131K output tokens.
At $1.4 per million input tokens and $4.4 per million output tokens, its blended cost of $2.90/1M tokens puts it in the mid-range pricing tier. Its value score of 31.4 reflects the balance of quality and cost.
GLM-5.2 is available as an open-source model under the MIT license, meaning you can self-host it for predictable costs or use it through API providers like Swfte Connect.
Using GLM-5.2 with Swfte
Access GLM-5.2 through Swfte Connect, our unified LLM gateway. Connect gives you a single API for 50+ models, with automatic routing, cost optimization, and fallback handling. You can also try GLM-5.2 in our AI Playground before integrating.