Guide

Beginner’s Guide to Today’s Top AI Models (Dec 2025)

A clear, jargon-light primer on four leading foundation models: OpenAI GPT-5.1, Anthropic Claude 4.5, Google Gemini 3 Pro (preview), and Meta Llama 3.1.

By AI Coding Tools Directory2025-12-075 min read
Last reviewed: 2025-12-07
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AI Coding Tools Directory

Editorial Team

The AI Coding Tools Directory editorial team researches, tests, and reviews AI-powered development tools to help developers find the best solutions for their workflows.

1) OpenAI GPT-5.1 — General-Purpose All-Rounder

  • Strengths: Strong reasoning, coding, and text+image understanding; broad API ecosystem; good tool support.
  • Context: Up to ~400K tokens (provider-tier dependent).
  • Use it for: Everyday chat, coding help, structured outputs, analysis with text+image inputs.

2) Anthropic Claude 4.5 (Opus/Sonnet) — Safety-First, Long Context

  • Strengths: Polished writing and coding, reliable tool use, long context (200K), careful refusals.
  • Models: Opus 4.5 (highest quality), Sonnet 4.5 (faster/lower cost), Haiku 4.5 (lightweight).
  • Use it for: Long documents, code refactors, plans with tool calls, concise and cautious answers.

3) Google Gemini 3 Pro (preview) — Multimodal with Search/File/Code Tools

  • Strengths: Native multimodal (text+images), large input context, code execution/file/search tools in the Gemini API.
  • Use it for: Reasoning over images + text, web/file-grounded answers, coding with tool calls in the Gemini API.
  • Note: Preview availability varies by account/region.

4) Meta Llama 3.1 — Open-Source, Self-Hostable

  • Strengths: Open weights (multiple sizes), runs on your own infra; good for private/self-hosted workloads.
  • Tradeoffs: Text-only by default; vision/tooling require your own adapters; quality depends on size and hardware.
  • Use it for: Custom deployments, fine-tuning, on-prem or VPC scenarios where control matters.

Quick Comparison

| Model | Modalities | Typical Context | Tool Use | Best For | | --- | --- | --- | --- | --- | | GPT-5.1 | Text + Images | Up to ~400K (tier-dependent) | Yes (API) | General chat, coding, structured outputs | | Claude 4.5 | Text + Images | 200K | Yes (API/apps) | Long docs, careful reasoning, coding | | Gemini 3 Pro (preview) | Text + Images | Large (preview tier) | Yes (Gemini API tools: search/file/code) | Multimodal tasks, grounded answers | | Llama 3.1 | Text | Varies by size | Custom (self-implemented) | Open-source, self-hosted/private use |

Practical Tips for Beginners

  • Start with GPT-5.1 or Claude 4.5 for the easiest, high-quality experience.
  • If you need images or web/file grounding, try Gemini 3 Pro (preview) via the Gemini API.
  • If you need on-prem or custom control, explore Llama 3.1 with a managed host or your own GPU.
  • For coding, enable tool use (functions) and give clear, structured prompts with examples.
  • Keep inputs concise; trim unnecessary text/images to stay within context and reduce cost.

Where to Use Them

  • GPT-5.1: OpenAI API / Azure OpenAI.
  • Claude 4.5: Claude apps (Pro/Max/Team/Enterprise), Claude API, Bedrock, Vertex, Foundry.
  • Gemini 3 Pro (preview): Gemini API (availability varies).
  • Llama 3.1: Self-host, managed OSS providers, or gateways like OpenRouter (check license/ToS).

Sources (December 2025)

  • OpenAI models: https://platform.openai.com/docs/models
  • Anthropic models/pricing: https://claude.com/pricing
  • Gemini API models/tools: https://ai.google.dev/gemini-api/docs
  • Llama 3.1 (Meta): https://ai.meta.com/resources/models-and-libraries/
  • Tool use: provider docs above (function calling/tool calling sections)

Explore more model options and provider guides in our directory.

Frequently Asked Questions

Which model should I try first?
Start with GPT-5.1 or Claude 4.5 for general use; both handle chat, coding, and analysis well.
Can these models see images?
GPT-5.1, Claude 4.5, and Gemini 3 Pro support image+text inputs. Llama 3.1 is text-only unless paired with a vision adapter.
Do they support tools/code execution?
GPT-5.1, Claude 4.5, and Gemini 3 Pro expose tool use in their APIs. Llama 3.1 requires custom wiring since it’s open source.
Are any free?
Llama 3.1 is open source to self-host. The others are paid via provider pricing; some offer free trials or limited credits.

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