Introducing GLM-4.7Z.AIReleased December 22, 2025

GLM-4.7

Optimized agentic coding model setting open-source SOTA performance on major coding and reasoning benchmarks with 200k context.

reasoning-llmProprietary API$0.60 / 1M tok (Agentic Coding SOTA)Context: 200K (200,000 tokens)Arena ELO: 1375

Technical Specifications

Architecture Type
Optimized Agentic Coding Transformer
Total Parameters
Frontier Scale
Context Window
200K (200,000 tokens)
Max Output Tokens
64K (64,000 tokens)
Knowledge Cutoff
December 2025
Supported Modalities
text, code, reasoning
License & Access
Z.AI Terms of Service

Benchmark Evaluations

Mmlu Pro
79.4
Humaneval
92.6
Swe Bench Lite
55.4
Chatbot Arena ELO
1375

Deep Architectural Overview

GLM-4.7 delivered major breakthroughs in goal-driven, multi-step agent coding. It significantly improved front-end code generation, document compilation, and test-driven debugging over 200k context windows.

Strengths & Considerations

Core Strengths
  • SOTA agentic coding benchmark scores
  • 200k token context window with 64k output buffer
  • Low pricing at $0.60 / $2.20 per million tokens
Known Limitations
  • Succeeded by GLM-5 for deep backend architecture

Token & API Pricing

Input Tokens (1M)$0.60
Output Tokens (1M)$2.20
Cached Input (1M)$0.1100
Pricing is verified directly against Z.AI's developer documentation and API rate sheets.

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