GLM-5.1
754B-parameter MIT-licensed agentic coding model.
About
Z.ai's April 2026 open release: roughly 754B total parameters with about 40B active, a ~200K context window, and an MIT license. It sits in the spring 2026 wave of permissively licensed agentic coding models alongside Kimi K2.6 and MiniMax M3, with Z.ai reporting ~58.4 on SWE-Bench Pro.
As with that whole wave, the benchmark figures come from each lab's own harness and shouldn't be read as like-for-like rankings.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
- swe-bench-pro: 58.4 (Z.ai-reported)
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Sourcing thinner than the other 2026 entries — primarily the open-weight coding-wave comparison table and a GLM-5 vs MiniMax M3 piece; Specs (~754B/40B, 200K context, MIT) consistent across the sources read; SWE-Bench Pro ~58.4 is Z.ai-reported, not independently confirmed. License: MIT — permissive, confirmed in comparison table across sources..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 7.0/10
- Maintenance · recency, releases, issue load
- 7.0/10
- Openness · license + docs
- 9.0/10
- Manual review · sanity read + red-flag check
- 6.0/10
- · Sourcing thinner than the other 2026 entries — primarily the open-weight coding-wave comparison table and a GLM-5 vs MiniMax M3 piece
- · Specs (~754B/40B, 200K context, MIT) consistent across the sources read
- · SWE-Bench Pro ~58.4 is Z.ai-reported, not independently confirmed