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FunctionGemma

Google

FunctionGemma is a specialized version of Gemma 3 270M fine-tuned for function calling and designed to run on edge devices. It bridges natural language and software execution, translating user commands into executable API actions. The model excels at unified action and chat capabilities, switching seamlessly between generating structured function calls and conversational responses. Built specifically for customization through fine-tuning, it demonstrated 85% accuracy on Mobile Actions after training (up from 58% baseline). Small enough to run on mobile phones and edge devices like NVIDIA Jetson Nano, it uses Gemma's 256k vocabulary to efficiently tokenize JSON and multilingual inputs.

GPT-5.2

OpenAI

GPT-5.2 is OpenAI's flagship frontier model series designed for professional knowledge work, advanced coding, and agentic workflows. Released in December 2025 as a response to competitive pressures, it features a massive 400,000-token context window and a 128,000-token maximum output capacity. The model utilizes a Mixture-of-Experts (MoE) architecture to balance inference efficiency with deep reasoning capabilities. It is available in three variants—Instant, Thinking, and Pro—each optimized for different points on the latency-intelligence curve. GPT-5.2 demonstrates state-of-the-art performance in tool calling reliability (98.7%), coding (SWE-Bench Verified 80.0%), and long-context retrieval.

Claude 4.5 Opus

Anthropic

Claude 4.5 Opus is the most intelligent and capable model in the Claude 4.5 family, designed for the most demanding reasoning, research, and coding tasks. It introduces a unique 'effort' parameter (low, medium, high) that allows users to control the depth of the model's reasoning process and token usage. Opus 4.5 excels in handling ambiguity, complex problem-solving, and deep analysis, often succeeding where other models fail on multi-system bugs or intricate research questions. It is priced to be more accessible than previous Opus generations while delivering state-of-the-art performance.