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GAOKAO-Bench
Open Source Evaluation and Monitoring
Updated Feb 15, 2026
★ ·
Compared with 49 other Evaluation and Monitoring agents Open source Self-hostable Updated Feb 2026
💰 Open Source
🔄 Updated Feb 2026
🖥️ Self-hostable
💰 Pricing
Open SourcePricing not publicly listed.
🎯 Use Cases
Benchmarking Chinese-language LLMs against human academic standards Evaluating models' multi-disciplinary knowledge (e.g., math, literature, sciences) Testing reasoning skills under exam-style constraints Comparing model generations against human student responses Monitoring model improvement across training iterations
⚖️ Pros & Cons
✅ Pros
- Culturally specific benchmark not covered by Western-centric evaluations
- High-quality dataset derived from rigorously designed exam questions
- Transparent methodology through open-source implementation
- Measures both breadth and depth of knowledge across subjects
❌ Cons
- Primarily relevant for Chinese-language applications
- Limited to static question sets without adaptive testing
- Requires translation/localization for non-Chinese contexts
- Human grading may be needed for subjective questions
Overview
GAOKAO-Bench is an open-source evaluation framework that leverages questions from the Chinese National College Entrance Examination (GAOKAO) to test large language models' proficiency in language comprehension, logical reasoning, and subject-specific knowledge. It provides standardized metrics for comparing model performance on a culturally relevant, high-stakes academic benchmark.
Problem It Solves
It enables objective measurement of AI models' capabilities in handling complex, knowledge-intensive tasks mirroring human academic assessments.
Target Audience: Developers and teams working with evaluation and monitoring automation.
Inputs
- • User configuration
- • API credentials (if required)
- • Task parameters
Outputs
- • Automated task results
- • Status reports
- • Generated content or actions
Example Workflow
- 1 User configures the agent with required parameters
- 2 Agent receives input data or trigger
- 3 Agent processes the request using its core logic
- 4 Agent interacts with external services if needed
- 5 Results are returned to the user
Sample System Prompt
You are GAOKAO-Bench, an AI assistant. Help the user accomplish their task efficiently.
Tools & Technologies
LLM APIs Python
Alternatives
- • AutoGPT
- • LangChain Agents
- • CrewAI
🔗Related AI Agents
FAQs
- Is this agent open-source?
- Yes
- Can this agent be self-hosted?
- Yes
- What skill level is required?
- Intermediate
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GAOKAO-Bench