Model

GLM-4.7 NO.37

Efficient open coding workhorse for everyday dev tasks.

Zhipu AI · GLM · Open · Open weights

Specification

Fig.01GLM — Zhipu AI

CHINA

Context window
200Ktokens
Max output
131Ktokens
Input price
$0.60/ 1M
Output price
$2.20/ 1M
Cached input
$0.11/ 1M
Throughput
Class
Open
Modalities
Text
Weights
Open
Parameters
355B
License
MIT
Knowledge cutoff
Oct 2025
Released
Dec 2025

Overview

GLM-4.7 is Zhipu's cheaper, faster open-weight coding model, widely used as the value tier of the GLM Coding Plan and as a Claude Code-compatible backend. It handles routine multi-file coding, tool use, and reasoning capably at a fraction of flagship cost, but steps down from GLM-5.2 on the hardest long-horizon tasks. MIT-licensed and self-hostable.

Strengths

  • Very low cost for capable coding
  • Faster and lighter than GLM-5.2
  • ~200K context for sizable repos
  • MIT open weights, self-hostable

Trade-offs

  • Below the flagship on complex multi-file work
  • Text-only, no vision
  • Agentic reliability well below the frontier
  • Superseded by GLM-5.2 on hard tasks

Fit

Best for

  • Budget coding assistants
  • Routine refactors and bug fixes
  • High-volume dev automation
  • Self-hosted coding backends

Not ideal for

  • Hardest long-horizon agentic coding
  • Workloads needing 1M-token context

Capabilities

Ten axes, normalized 0–100 and scored the same way across the whole catalog — so a 78 here means what a 78 means anywhere else on the bench.

Fig.02Capability radar

0 — 100

Reasoning
74
Coding
70
Math
80
Writing
76
Knowledge
78
Speed
80
Agentic
66
Vision
10
Multilingual
80
Long Context
74

Benchmarks

Public results, with independent third-party runs marked. Bars normalize percentages against 100 and Elo ratings against a 1500 ceiling.

BenchmarkResult
SWE-bench VerifiedIndependentCoding · SWE-bench
73.8%
AIME 2025Math · Vendor-reported
95.7%
GPQA DiamondIndependentReasoning · Independent aggregators
85.7%
LiveCodeBenchIndependentCoding · LiveCodeBench
84.9%

Alternatives

Models in roughly the same class — the ones worth weighing against this record.

Index

All models/EDUCATION