MCP Memory Service

# Groq Model Comparison for Code Quality Analysis ## Available Models ### 1. llama-3.3-70b-versatile (Default) **Best for:** General-purpose code analysis with detailed explanations **Characteristics:** - ✅ Comprehensive, detailed responses - ✅ Thorough breakdown of complexity factors - ✅ Balanced speed and quality - ⚠️ Can be verbose for simple tasks **Performance:** - Response time: ~1.2-1.6s - Detail level: High - Accuracy: Excellent **Example Output (Complexity 6/10):** ``` **Complexity Rating: 6/10** Here's a breakdown of the complexity factors: 1. **Functionality**: The function performs data processing... 2. **Conditional Statements**: There are two conditional statements... 3. **Loops**: There is one loop... [... detailed analysis continues ...] ``` ### 2. moonshotai/kimi-k2-instruct (Recommended for Code Analysis) **Best for:** Fast, accurate code analysis with agentic intelligence **Characteristics:** - ✅ **Fastest response time** (~0.9s) - ✅ Concise, accurate assessments - ✅ 256K context window (largest on GroqCloud) - ✅ Excellent for complex coding tasks - ✅ Superior agentic intelligence **Performance:** - Response time: ~0.9s (fastest tested) - Detail level: Concise but accurate - Accuracy: Excellent **Example Output (Complexity 2/10):** ``` Complexity: 2/10 The function is short, uses only basic control flow and dict/list operations, and has no recursion, nested loops, or advanced algorithms. ``` **Kimi K2 Features:** - 1 trillion parameters (32B activated MoE) - 256K context window - 185 tokens/second throughput - Optimized for front-end development - Superior tool calling capabilities ### 3. llama-3.1-8b-instant **Best for:** Simple queries requiring minimal analysis **Characteristics:** - ⚠️ Despite name "instant", actually slower than Kimi K2 - ⚠️ Very verbose, includes unnecessary details - ✅ Lower cost than larger models **Performance:** - Response time: ~1.6s (slowest tested) - Detail level: Very high (sometimes excessive) - Accuracy: Good but over-explains **Example Output (Complexity 4/10):** ``` I would rate the complexity of this function a 4 out of 10. Here's a breakdown of the factors I considered: - **Readability**: 6/10 - **Locality**: 7/10 - **Abstraction**: 8/10 - **Efficiency**: 9/10 [... continues with edge cases, type hints, etc ...] ``` ## Recommendations by Use Case ### Pre-commit Hooks (Speed Critical) **Use: moonshotai/kimi-k2-instruct** ```bash ./scripts/utils/groq "Complexity 1-10: $(cat file.py)" --model moonshotai/kimi-k2-instruct ``` - Fastest response (~0.9s) - Accurate enough for quality gates - Minimizes developer wait time ### PR Review (Quality Critical) **Use: llama-3.3-70b-versatile** ```bash ./scripts/utils/groq "Detailed analysis: $(cat file.py)" ``` - Comprehensive feedback - Detailed explanations help reviewers - Balanced speed/quality ### Security Analysis (Accuracy Critical) **Use: moonshotai/kimi-k2-instruct** ```bash ./scripts/utils/groq "Security scan: $(cat file.py)" --model moonshotai/kimi-k2-instruct ``` - Excellent at identifying vulnerabilities - Fast enough for CI/CD - Superior agentic intelligence for complex patterns ### Simple Queries **Use: llama-3.1-8b-instant** (if cost is priority) ```bash ./scripts/utils/groq "Is this function pure?" --model llama-3.1-8b-instant ``` - Lowest cost - Good for yes/no questions - Avoid for complex analysis (slower than Kimi K2) ## Performance Summary | Model | Response Time | Detail Level | Best For | Context | |-------|--------------|--------------|----------|---------| | **Kimi K2** | 0.9s ⚡ | Concise ✓ | Speed + Accuracy | 256K | | **llama-3.3-70b** | 1.2-1.6s | Detailed ✓ | Comprehensive | 128K | | **llama-3.1-8b** | 1.6s | Very Detailed | Cost savings | 128K | ## Cost Comparison (Groq Pricing) | Model | Input | Output | Use Case | |-------|-------|--------|----------| | Kimi K2 | $1.00/M | $3.00/M | Premium speed + quality | | llama-3.3-70b | ~$0.50/M | ~$0.80/M | Balanced | | llama-3.1-8b | ~$0.05/M | ~$0.10/M | High volume | ## Switching Models All models use the same interface: ```bash # Default (llama-3.3-70b-versatile) ./scripts/utils/groq "Your prompt" # Kimi K2 (recommended for code analysis) ./scripts/utils/groq "Your prompt" --model moonshotai/kimi-k2-instruct # Fast/cheap ./scripts/utils/groq "Your prompt" --model llama-3.1-8b-instant ``` ## Conclusion **For MCP Memory Service code quality workflows:** - ✅ **Kimi K2**: Best overall - fastest, accurate, excellent for code - ✅ **llama-3.3-70b**: Good for detailed explanations in PR reviews - ⚠️ **llama-3.1-8b**: Avoid for code analysis despite "instant" name