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z-ai

glm-5.2

Open-weight frontier model with strong coding, agentic performance and a 1M context window.

z-ai 1M context ★ Featured
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Value rank

#11 of 18

intelligence per dollar in our catalogue

Context rank

#1 tied

1M token window

Agentic strength

99%

tau2-bench tool-use success

Benchmarks

Independent scores by Artificial Analysis, compared with the strongest models in our catalogue.

Intelligence index

kimi-k3
57
glm-5.2
51.1
deepseek-v4-flash-0731
50
minimax-m3
44.4
deepseek-v4-pro
44.3

Coding index

glm-5.2
68.8
deepseek-v4-pro
59.4
minimax-m3
58.6

Agentic (tau2-bench)

glm-5.2
99.1%
deepseek-v4-pro
96.2%
minimax-m3
88.9%

Best for

Where this model earns its keep.

Agentic pipelines and tool use Long-document analysis Coding and engineering Prompt-cached workloads

The numbers

Pricing is live from our platform. Prices per 1M tokens, zero data retention on every request.

Input price$1.50
Cache read price$0.38
Output price$4.50
Context window1M tokens
Intelligence / coding index51.1 / 68.8
Agentic: tau2 / terminal-bench99% / 51%
GPQA / MMLU-Pro90% / -

Or consider

Close alternatives in the catalogue.

deepseek-v4-flash-0731

Intelligence 50 · agentic -

kimi-k3

Intelligence 57 · agentic -

minimax-m3

Intelligence 44.4 · agentic 89%

Quick start

OpenAI-compatible. Switch in one line.

# pip install openai
client = OpenAI(base_url="https://api.tensorx.ai/v1", api_key="tsx-...")
r = client.chat.completions.create(
    model="z-ai/glm-5.2",
    messages=[{"role": "user", "content": "Hello"}],
)

Benchmark data from the Artificial Analysis Intelligence Index v4.1, measured independently. Pricing live from the TensorX platform. All inference on EU-sovereign infrastructure with zero data retention.