Back to the index
Zhipu AI · GLM
No. 33
GLM-4.7
Efficient open coding workhorse for everyday dev tasks.
Field notes
- Context window
- 200Ktokens
- Max output
- 131Ktokens
- Input price
- $0.60/ 1M tokens
- Output price
- $2.20/ 1M tokens
- Cached input
- $0.11/ 1M tokens
- Modalities
- Text
- Knowledge cutoff
- Oct 2025
- Released
- Dec 2025
- Parameters
- 355B
- License
- MIT
- Approx. speed
- —
Overview
What this model is
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- Superseded by GLM-5.2 on hard tasks
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
Capability profile
Normalized 0–100 scores, comparable across the whole catalog.
- Reasoning
- 74
- Coding
- 70
- Math
- 80
- Writing
- 76
- Knowledge
- 78
- Speed
- 80
- Agentic
- 66
- Vision
- 10
- Multilingual
- 80
- Long Context
- 74
Benchmarks
How it scores
Public benchmark results, with independent third-party results where available. Bars normalize percentages to 100 and Elo ratings to a 1500 ceiling.
BenchmarkResult
SWE-bench Verifiedindependent
CodingSWE-bench
73.8%
AIME 2025
MathVendor-reported
95.7%
GPQA Diamondindependent
ReasoningIndependent aggregators
85.7%
LiveCodeBenchindependent
CodingLiveCodeBench
84.9%