LLM Models on allmates.ai: At-a-Glance Comparison

This document provides a quick overview and comparative look at the Large Language Models (LLMs) available to power your Mates on the allmates.ai platform. Each model is presented with a brief abstract and a radar chart illustrating its key characteristics across ten dimensions.

(Radar chart legend: All scores are on a 1-5 scale.)

💡 Google Gemini Models

Gemini Pro 2.5 (Google)

Abstract: Google's updated flagship model with enhanced "Deep Think" reasoning, improved multimodal sync (including native PDF input), and a very recent January 2025 knowledge base.

More information: Model Profile: Gemini Pro 2.5 (Google)

Gemini Flash 2.5 (Google)

Abstract: Google's updated high-speed model with enhanced "Flash Thinking" for improved reasoning and multi-step planning, plus native PDF input. Maintains speed and cost-efficiency.

More information: Model Profile: Gemini Flash 2.5 (Google)

Gemini Pro 2.0 (Google)

Abstract: Google's flagship large model offering top-tier performance, an extremely long 2M token context window, and advanced multimodal capabilities including native PDF input.

More information: Model Profile: Gemini Pro 2.0 (Google)

Gemini Flash 2.0 (Google)

Abstract: Google's high-speed, cost-efficient multimodal model (including native PDF input) designed for rapid responses and broad capabilities with a 1M token context.

More information: Model Profile: Gemini Flash 2.0 (Google)

🤖 OpenAI Models

GPT-4.1 (OpenAI)

Abstract: OpenAI's flagship model for complex tasks, offering extensive context handling (1M tokens), leading coding capabilities, and advanced reasoning with a June 2024 knowledge cutoff. Ideal for demanding tasks requiring deep understanding.

More information: Model Profile: GPT-4.1 (OpenAI)

GPT-4o (OpenAI)

Abstract: OpenAI's natively multimodal model balancing speed, intelligence, and cost. It seamlessly processes text, audio, and vision, matching GPT-4 Turbo performance at a lower price.

More information: Model Profile: GPT-4o (OpenAI)

GPT-4o Mini (OpenAI)

Abstract: A smaller, highly cost-efficient, and fast multimodal model from OpenAI. It offers a good balance of GPT-4 level capabilities with speed, ideal for high-volume or less complex tasks.

More information: Model Profile: GPT-4o Mini (OpenAI)

o1 (OpenAI Reasoning Series - Previous Gen)

Abstract: A previous generation full o-series reasoning model from OpenAI, known for its strong analytical capabilities and tool use. Still a capable reasoner for complex tasks.

More information: Model Profile: o1 (OpenAI Reasoning Series - Previous Gen)

o3 (OpenAI Reasoning Series)

Abstract: OpenAI's most powerful reasoning model, designed for highly complex problems, advanced tool use, and demanding analytical tasks. It excels in logic, math, and coding via execution.

More information: Model Profile: o3 (OpenAI Reasoning Series)

o3-mini (OpenAI Reasoning Series)

Abstract: A small and efficient alternative to the o3 reasoning model from OpenAI, offering good problem-solving and tool-use capabilities with better speed and lower cost.

More information: Model Profile: o3-mini (OpenAI Reasoning Series)

o4-mini (OpenAI Reasoning Series)

Abstract: A faster, more affordable reasoning model from OpenAI's "o-series," designed for efficient complex problem-solving. Uses the same pricing as o3-mini.

More information: Model Profile: o4-mini (OpenAI Reasoning Series)

✨ Anthropic Claude Models

Claude 4 Opus (Anthropic)

Abstract: Anthropic's peak model for tasks requiring maximum intelligence, including native image/PDF input. Unparalleled for complex coding, reasoning, and critical analysis.

More information: Model Profile: Claude 4 Opus (Anthropic)

Claude 4 Sonnet (Anthropic)

Abstract: Anthropic's latest general-purpose model offering near state-of-the-art performance, leading coding, native image/PDF input, and a large 200K context.

More information: Model Profile: Claude 4 Sonnet (Anthropic)

Claude 3.7 Sonnet (Anthropic)

Abstract: A refined high-speed model from Anthropic with superior coding, smarter reasoning, and excellent instruction following, offering great cost-efficiency.

More Information: Model Profile: Claude 3.7 Sonnet (Anthropic)

Claude 3.5 Sonnet (Anthropic)

Abstract: Anthropic's high-speed model offering a balance of strong performance, cost-efficiency, and a large context window. Good for general tasks, writing, and coding.

More information: Model Profile: Claude 3.5 Sonnet (Anthropic)

Ⓜ️ Meta LLaMA Models

LLaMA 4 Maverick (Meta)

Abstract: Meta's next-gen natively multimodal MoE model excelling in coding, reasoning, and vision tasks with high efficiency (17B active parameters, 1M context).

More information: Model Profile: LLaMA 4 Maverick (Meta)

LLaMA 4 Scout (Meta)

Abstract: Meta's next-gen MoE model with an extremely large 10M token context window, specialized for retrieval and long-document understanding. Natively multimodal.

More information: Model Profile: LLaMA 4 Scout (Meta)

🌬️ Mistral AI Models

Mistral Large (Mistral AI)

Abstract: Mistral AI's top-tier reasoning model for high-complexity tasks. Offers advanced capabilities with a large context and a multimodal variant (Pixtral Large). Research license typical.

More information: Model Profile: Mistral Large (Mistral AI)

Mistral Medium (Mistral AI)

Abstract: Mistral AI's frontier-class multimodal model balancing high performance with efficiency. Commercially licensed, strong in coding/reasoning for its size.

More information: Model Profile: Mistral Medium (Mistral AI)

🔍 DeepSeek AI Models

DeepSeek V3 (DeepSeek AI)

Abstract: DeepSeek AI's massive 671B parameter open-source MoE model (37B active), offering high performance rivaling GPT-4 with impressive inference speed and cost-efficiency.

More information: Model Profile: DeepSeek V3 (DeepSeek AI)

DeepSeek R1 (DeepSeek AI)

Abstract: DeepSeek AI's reasoning-focused model, known for strong chain-of-thought capabilities in logic, coding, and math. Open-sourced with distilled versions.

More information: Model Profile: DeepSeek R1 (DeepSeek AI)