Model Evaluation Tool: Data-driven Model Selection
Through standardized benchmarks and real-world scenario tests, fully understand the strengths and weaknesses of major LLMs and choose the most suitable model for your AI applications.
Evaluation Dimensions
🎯
Accuracy
Task completion quality
⚡
Response Speed
Latency and throughput
💰
Cost
Value for money
🔧
Usability
Integration and developer experience
Standard Benchmark Suites
🧠 Cognitive Benchmarks
- • MMLU — Multidisciplinary knowledge
- • HumanEval — Code generation
- • GSM8K — Math reasoning
- • HellaSwag — Commonsense reasoning
💬 Language Benchmarks
- • Chinese understanding — C-Eval
- • Translation — WMT
- • Summarization — CNN/DM
- • Dialogue coherence — MT-Bench
Live Evaluation Results
| Model | Composite | Accuracy | Speed | Value |
|---|---|---|---|---|
| GPT-4 | 95 | 98 | 85 | 70 |
| Claude 3 | 92 | 95 | 88 | 75 |
| GPT-3.5 | 85 | 82 | 95 | 92 |
| Wenxin Yiyan 4.0 | 88 | 90 | 90 | 88 |
Scenario-based Evaluations
Customer Support
Response accuracy
GPT-4: 96%Claude: 94%
Emotion understanding
GPT-4: 92%Claude: 95%
Code Generation
Code correctness
GPT-4: 89%Codex: 92%
Code quality
GPT-4: 88%Codex: 90%
Custom Evaluation
Create Your Evaluation Task
Model Recommendations
Recommendations Based on Your Needs
💡 Quality-first
Recommended: GPT-4 or Claude 3
Best for: content creation, expert consulting, complex reasoning
⚡ Speed-first
Recommended: GPT-3.5 or Claude Instant
Best for: real-time chat, high-frequency calls, simple tasks
💰 Cost-first
Recommended: Open-source or domestic models
Best for: large-scale deployments, tight budgets, specific scenarios
🔐 Data security-first
Recommended: Private deployment
Best for: sensitive data, compliance, full control
Find the Best-fit AI Model
Make your selection based on real data and scenario evaluations.
Start Evaluation