Which AI model is best for coding?

Claude Opus 4.6 and GPT-4.1 are currently the top-performing models for code generation, with Claude excelling at complex multi-file tasks and GPT-4.1 at instruction following. The best choice depends on your specific use case, budget, and required context window.

How do AI model prices compare?

Prices vary significantly. GPT-4.1 mini offers budget-friendly options under $1/M tokens, while Claude Haiku 4.5 is $1/M input. Frontier models like Claude Opus 4.6 ($5/M) and GPT-4.1 ($2/M) offer top-tier quality. Open-source models like Llama 4 Maverick are free to self-host.

What is a context window in AI models?

A context window is the maximum amount of text (measured in tokens) that an AI model can process in a single conversation. Larger context windows allow the model to handle longer documents and maintain more conversation history. Gemini 2.5 Pro leads with 1M tokens.

Effloow / Tools / AI Model Comparison

AI Model Comparison Tool

Compare major AI models side-by-side. Filter by provider, sort by any metric, and find the right model for your use case.

Last updated: April 5, 2026 · Data from publicly available specifications. [Unverified] marks indicate specs not yet independently confirmed.

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Model ↕	Provider ↕	Input $/M ↕	Output $/M ↕	Context ↕	Multimodal	Speed ↕	Code ↕	Open Source

How to Use This Tool

1. Filter by Provider — Click provider buttons to narrow the comparison to models from specific companies like Anthropic, OpenAI, or Google.

2. Sort by Any Column — Click column headers in table view to sort by pricing, context window, speed rating, or code quality rating.

3. Switch Views — Toggle between table view for dense comparison and card view for a more visual overview of each model.

4. Share Your Comparison — Click "Share URL" to copy a link that preserves your current filters and view settings.

Understanding the Metrics

Input/Output $/M — Cost per million tokens. Input tokens are what you send; output tokens are what the model generates. "Free" means the model is open-source and self-hostable.
Context Window — Maximum tokens the model can process in one request. Larger windows handle longer documents and conversations.
Speed Rating — Relative output speed rated 1-5. Higher is faster. Based on typical API response times for standard queries.
Code Rating — Code generation quality rated 1-5. Based on publicly available benchmarks (SWE-bench, HumanEval, etc.).
Multimodal — Whether the model accepts images, audio, video, or files as input in addition to text.

Choosing the Right AI Model

For coding tasks: Claude Opus 4.6 and GPT-4.1 lead in code generation. Claude excels at complex, multi-file refactoring while GPT-4.1 is strong at instruction-following and structured output.

For long documents: Llama 4 Scout offers the largest context window at 10M tokens, ideal for analyzing entire codebases or lengthy documents. Gemini 2.5 Pro and Claude Opus/Sonnet 4.6 also support 1M tokens.

For budget-conscious use: Claude Haiku 4.5, GPT-4.1 mini, and Gemini 2.0 Flash offer excellent quality at a fraction of frontier model pricing.

For self-hosting: Llama 4 Maverick and Mistral Large offer open-weight options with competitive performance.

Data Accuracy

All specifications are sourced from official provider documentation and publicly available benchmarks as of April 2026. Pricing reflects standard API rates and may differ for batch processing, commitments, or cached tokens. Models marked [Unverified] have specs that have not been independently confirmed. We update this data regularly — if you spot an error, please let us know.