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Z.ai: GLM 5 Turbo Coding Benchmark

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows...

Context202,752tokens
Max Output131,072tokens
Inputmodality
Price$1.20/1M input

Try Z.ai: GLM 5 Turbo in Kilo Code

Experience this model with the most popular open source coding agent. Free to start, pay only for AI usage. Use in popular IDEs like VS Code, JetBrains, command line, or cloud agents.

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Coding Performance

Coding benchmarks and performance metrics for development tasks

OpenClaw Benchmarks

PinchBench measures how Z.ai: GLM 5 Turbo performs on real OpenClaw agent tasks: multi-step execution, tool use, recovery, latency, and cost.

Average score

74.0%

#36 of 50 official models

Average time

170m 39s

37 runs · per OpenClaw task

Average cost

$5.024

Per benchmark run

Category breakdown

Best verified PinchBench v2 run by OpenClaw task family.

Memory100.0% · 2/2 cleared
Csv Analysis96.5% · 7/26 cleared
Writing95.3% · 2/6 cleared
Productivity95.1% · 4/8 cleared

Top task results

Highest-scoring benchmark tasks from the same submission.

Analysis
Access Control Log Anomaly Detection
100.0%
Csv Analysis
Apple Stock 2014 Trend Analysis
100.0%
Coding
Browser Automation Workflow
100.0%
Productivity
Calendar Event Creation
100.0%
Writing
Commit Message Writer
100.0%
Analysis
Contract/Legal Analysis
100.0%

Autonomous task execution

Z.ai: GLM 5 Turbo shows emerging average success across OpenClaw-style benchmark runs, useful for recurring research, browser, and file-based automations.

Tool use and recovery

PinchBench tasks stress multi-step planning, tool calls, and judge-verified completion rather than single prompt coding snippets.

Agent workflow fit

Its deliberate average runtime and premium run cost help set expectations for long-running agents and production workflows.

Agentic benchmarks from the PinchBench Leaderboard

Real-World Usage

Real-world usage statistics from the Kilo Code community

No usage data available for this model yet.

No ranking data available for this model yet.

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$1.20
per 1M tokens
Output Tokens
$4.00
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0880

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Specifications
Model ID
z-ai/glm-5-turbo
Created
March 15, 2026
Tokenizer
Other
Input Modalities
Text
Context Window
202,752 tokens
Max Completion Tokens
131,072 tokens
Input Price
$1.20 per 1M tokens
Output Price
$4.00 per 1M tokens
Cache Read Price
$0.24 per 1M tokens
Content Moderation
Disabled

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