Google: PaLM 2 Code Chat

Context: 32 000 tokens
Output: 8 000 tokens
Modality:
Text
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Google’s Specialized LLM for Coding and Developer Tools via API


PaLM 2 Code Chat is a variant of Google’s PaLM 2 family, optimized for programming tasks, debugging, and developer assistance. Designed as a coding-focused conversational model, PaLM 2 Code Chat helps developers write, refactor, and explain code across multiple programming languages with high accuracy.

Available via AnyAPI.ai, PaLM 2 Code Chat can be integrated into IDEs, dev tools, and SaaS platforms instantly—enabling code-aware AI assistants without requiring direct access to Google Cloud.

Key Features of PaLM 2 Code Chat

Programming-Oriented Training

Tuned for code generation, debugging, and explanation across Python, JavaScript, Java, C++, and more.

Multi-Turn Coding Conversations

Handles iterative prompts for fixing errors, refactoring, or explaining functions step by step.

Context Window up to 32k Tokens

Processes large codebases, documentation, and multi-file interactions.

Natural Language + Code Integration

Understands queries mixing human instructions with technical code snippets.

Multilingual Code Support

Covers major programming ecosystems, from backend engineering to data science.

Comparison with other LLMs

Model
Context Window
Multimodal
Latency
Strengths
Model
Google: PaLM 2 Code Chat
Context Window
Multimodal
Latency
Strengths
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