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  1. Models
  2. Text
  3. Z.AI

GLM 4.7 Original

GLM-4.7 is a next-gen GLM series text model with stronger reasoning, long-context chat, and reliable tool use. Routed directly via Z-AI (Zhipu).

  • Reasoning
  • Tool Calling
  • Structured Output

Added Dec 22, 2025

Pricing

Auto routing · per 1M tokens
Input
$0.40
Output
$1.93
Cache read
$0.0801
Compare provider prices

Specifications

Context window
200K
Max output
65.5K
Parameters
355B / 32B
Total / active
Avg output (7d)
566 tokens
Longer than 53% of models

Benchmarks

Sourced from Artificial Analysis.

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

94.2%

Better than 92% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

40.7%

Better than 35% of models compared

Reasoning

HLE

Humanity's Last Exam

6.4%

Better than 38% of models compared

IFBench

Instruction-following benchmark

54.6%

Better than 65% of models compared

CritPt

Research-level physics reasoning

0.0%

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

30.3%

Better than 72% of models compared

LiveCodeBench

Contamination-free coding benchmark

56.2%

Better than 63% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

48.0%

Better than 46% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

79.4%

Better than 64% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

66.4%

Better than 42% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

40.7%

Better than 35% of models compared

Last updated Oct 29, 2026

Artificial Analysis

Providers

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GLM-5 original with extended thinking capabilities for complex reasoning.

GLM 4.7 Original Thinking

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GLM-4.7 original with extended thinking capabilities for complex reasoning.

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GLM 4.6V Original

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GLM-4.6V scales its context window to 128k tokens in training, and achieves SoTA performance in visual understanding among models of similar parameter scales. Integrates native Function Calling capabilities, bridging 'visual perception' and 'executable action' for multimodal agents. Direct via Z-AI (Zhipu).

Apex Flash 1

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