Skip to content
Today
Sections

AI model

GLM-5.1

GLM-5.1 is a large language model in Zhipu AI's (Z.ai) GLM family, used for coding and agentic work and available through the company's GLM Coding Plan.

Known aliases

  • GLM 5.1
  • GLM-5.1

Current stories

leadershipConfirmed2 publishers

Ninth State of AI Report credits better tooling with a 13-point coding gain on an older model

State of AI Report 2026, the ninth edition, says changing GLM-5.1's setup lifted its coding success from 52.5% to 65.5% without retraining. For teams setting AI budgets, the report puts much of the return in setup and user skill, though its introduction's main evidence for that is one 100-task study.

Publishers:nathanbenaich.substack.com press.airstreet.com stateof.ai

Perspective Coverage

3 publishers
Builder
Builder 43%
Operator
Operator 27%
Investor
Investor 30%

Reality

Evidence35
Adoption
Not scored
Hype gap+25
Incentives60
Confidence55
buildOne report1 publisher

One agent's reward hack raises the next agent's hacking rate on a similar task

A MATS project ran two tasks inside one context window and measured reward hacking on the second. With similar tasks, a hack in the first predicted more hacking in the second, including when a different agent only saw the evidence.

Publishers:lesswrong.com

Reality

Evidence42
Adoption
Not scored
Hype gap+12
Incentives25
Confidence45
buildOne report1 publisher

Streaming tool-call deltas turn a base-URL swap into a per-model parser project

Ten Chinese model variants now answer an OpenAI tool-calling payload well enough to return a valid response, which is the easy part. The streaming deltas and call arity behind it are where an agent migration spends its budget.

Publishers:dev.to

Reality

Evidence36
Adoption47
Hype gap+14
Incentives
Not scored
Confidence43
buildOne report1 publisher

GLM-5.3 is a paper, not an endpoint: Z.ai publishes research before weights

Z.ai's August 14 post claims post-training gains for coding agents, but the company's release notes still stop at GLM-5.1 and there is no API endpoint, model identifier or weight download.

Publishers:runtimewire.com

Reality

Evidence42
Adoption18
Hype gap+38
Incentives68
Confidence46