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GLM-5.1

GLM-5.1
2 min read
GLM-5.1

GLM-5.1, which Z.ai shipped to GLM Coding Plan subscribers on March 27, 2026 before opening the API and releasing open weights on April 7, is an open-weights coding model built to keep working on one task for hours.

  • Model: GLM-5.1 (glm-5.1)

  • Maker: Z.ai

  • Ship date: March 27, 2026 (API and open weights April 7, 2026)

  • Pricing: $1.40 / $4.40 per M tokens

  • Context: 200K tokens

  • Where you can use it:

  • When to reach for it:

    • Long agentic coding runs at a low price

    • A self-hosted, MIT-licensed coding agent

    • Skip it for images; it takes text only

  • How it compares:

    • Z.ai pitches it as Claude Opus 4.6's peer

    • Ahead of Kimi K2.5 and MiniMax M2.7

  • What makes it different:

    • Built to work alone on one task for 8 hours

    • 754B-parameter MoE you can download

  • Early reactions: Hacker News users liked its coding for the price, but several said it loses coherence past about 128K tokens.

  • Read more: GLM-5.1: Towards Long-Horizon Tasks, model card

The benchmarks

Z.ai's launch-day table (thinking settings not stated; Terminal-Bench 2.0 with the Terminus-2 harness), comparing against closed flagships Claude Opus 4.6, Gemini 3.1 Pro and GPT-5.4 plus open peers, with rival scores as Z.ai printed them.

Z.ai's numbers

  • SWE-bench Pro (hard real-repo fixes): 58.4%. +1.1 over Claude Opus 4.6 (57.3%), +0.7 over GPT-5.4 (57.7%), +4.2 over Gemini 3.1 Pro (54.2%), +4.6 over Kimi K2.5 (53.8%).

  • Terminal-Bench 2.0 (agentic terminal tasks): 63.5%. −1.9 under Claude Opus 4.6 (65.4%), −5.0 under Gemini 3.1 Pro (68.5%), +12.7 over Kimi K2.5 (50.8%).

  • NL2Repo (whole repo from a spec): 42.7%. −7.1 under Claude Opus 4.6 (49.8%), +1.4 over GPT-5.4 (41.3%), +9.3 over Gemini 3.1 Pro (33.4%), +10.7 over Kimi K2.5 (32.0%).

  • CyberGym (finding real vulnerabilities): 68.7%. +2.1 over Claude Opus 4.6 (66.6%), +27.4 over Kimi K2.5 (41.3%), +51.4 over DeepSeek V3.2 (17.3%).

  • BrowseComp (hard web research): 68.0%. +7.4 over Kimi K2.5 (60.6%), +16.6 over DeepSeek V3.2 (51.4%).

  • GPQA Diamond (PhD-level science): 86.2%. −5.1 under Claude Opus 4.6 (91.3%), −8.1 under Gemini 3.1 Pro (94.3%), −5.8 under GPT-5.4 (92.0%).

  • Humanity's Last Exam (no tools) (expert questions): 31.0%. −5.7 under Claude Opus 4.6 (36.7%), −14.0 under Gemini 3.1 Pro (45.0%), −8.8 under GPT-5.4 (39.8%), −0.5 under Kimi K2.5 (31.5%).

Independent numbers

  • Artificial Analysis Intelligence Index (current v4.3.2): 26.1. +2.6 over Kimi K2.5 (23.5), +3.3 over MiniMax M2.7 (22.8), −5.8 under Claude Opus 4.6 (31.9).

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