Z.ai

Z.ai GLM 5.2

Z.aiBalanced
ThinkingTool UseStructured Output

About this model

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

Performance Tier

Balanced

Z.ai GLM 5.2 is a balanced model from Z.ai : strong performance at a reasonable price.

Strong cost-performance ratio. Reliable for most professional use cases without premium pricing.

Pricing

This model is included in Elosia plans
Affordable

Low cost. Suitable for sustained use and high-volume interactions.

Typeper 1M tokens
Input (prompt)$0.620
Output (completion)$2.42
Cache read$0.140

Capabilities

Context Length1.0M
Max Output Tokens944K
TokenizerOther
Inputtext
Outputtext
Release DateJune 16, 2026

Benchmarks

General Intelligence
MMLU
Not reported
GPQA Diamond
91.2%
Mathematics
MATH-500
Not reported
AIME 2026
99.2%
Programming
HumanEval
Not reported
Agentic
SWE-bench Pro
62.1%

Where does Z.ai GLM 5.2 stand?

Compare its performance index against every other model.

View the performance leaderboard

Recommended Use Cases

CodingAnalysisResearch

Strengths

  • MoE architecture (~750B total, 40B active), built for long-horizon agentic coding (SWE-bench Pro 62.1)
  • 1M-token context window (up to 128K output), made practical by IndexShare sparse attention — full-repository and book-length inputs in a single pass
  • Solid on hard reasoning (GPQA Diamond 91.2, AIME 2026 99.2)
  • Open-weight under MIT license — unrestricted commercial self-hosting, weights on HuggingFace and ModelScope
  • Cost-efficient at $0.98/M input and $3.08/M output — a fraction of comparable frontier models for long-horizon coding

Limitations

  • Text-only : no image or multimodal input
  • Headline benchmarks are self-reported by Z.ai; independent verification remains limited
  • Narrowly optimized for coding, agentic and reasoning tasks — weaker on broad conversational use (around #25 on Text Arena)

Frequently asked questions

Resources

This model may use your data for training

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