LLM Reference

GLM-5 9B

glm-5-9b

Researched 140d ago

Last refreshed 2026-04-18. Next refresh: weekly.

Open SourceRAGAgentsLong contextJSON / Tool use

GLM-5 9B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Decision context: RAG task fit, 0 tracked provider routes, and research from 2026-01-01.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 262K context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Teams that need a tracked hosted API route today

Cheapest output

-

No tracked output price

Provider routes

0

No provider route in seed

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-01-01

Researched 140d ago

stale

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

Lightweight open-weight variant of GLM-5 with 9B parameters. Optimized for edge deployment and efficient inference while maintaining strong reasoning and coding capabilities. Supports 262K token context window.

GLM-5 9B has a 256K-token context window.

Capabilities

ReasoningFunction CallingTool Use

Rankings

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Specifications

FamilyGLM-5
Released2026-02-15
Parameters9
Context262K
ArchitectureDecoder Only
Knowledge cutoff2025-11

Created by

Chinese AI research lab developing GLM language models.

Beijing, China
Founded 2019
Website