AI Model Comparison 2026

Head-to-head comparison of any two models, plus a full filterable table of 30+ models sorted by price, context window, or provider.

Prices verified June 2026

Head-to-head comparison

Model A

Model B

Calculate your exact monthly cost with either model →

Full model pricing table

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Model	Input / 1M tokens	Output / 1M tokens	Context window	Best for

Which model for which use case?

Customer support chatbot

→ Claude Haiku 4.5 or GPT-5.4 nano

For high-volume support, the cheapest capable models usually deliver the best ROI while maintaining excellent quality.

Code generation and review

→ Claude Sonnet 4.6 or GPT-5.5

Claude Sonnet remains one of the strongest coding models, while GPT-5.5 is a strong option for complex engineering and agent workflows.

Bulk document processing

→ Gemini 3.1 Flash-Lite or Gemini 2.5 Flash-Lite

Low pricing and 1M-token context windows make these ideal for large-scale extraction, summarization, and classification.

Complex research and analysis

→ Claude Opus 4.8 or GPT-5.5 Pro

When answer quality matters more than cost, premium reasoning models consistently produce the best results.

Real-time chat applications

→ Gemini 3 Flash or GPT-5.4 mini

Both deliver fast responses with good quality while keeping API costs manageable for production workloads.

AI agents and tool calling

→ Claude Sonnet 4.6 or GPT-5.5

Both models perform well with multi-step reasoning, tool use, planning, and autonomous agent workflows.

Large context processing

→ Gemini 3.1 Pro or GPT-5.4

Their long context windows make them excellent choices for analyzing books, repositories, legal documents, and large datasets.

Vision and multimodal tasks

→ Gemini 3.5 Flash or GPT-5.4

Both support image understanding and multimodal reasoning while offering excellent performance for production applications.

How to Choose the Right AI Model for Your Use Case

The most expensive model is almost never the right choice. The best model is the cheapest one that is good enough for your specific task.

For simple, high-volume tasks like classification, extraction, sentiment analysis, and short summarization, use the cheapest capable model available. For production applications like support chatbots, content generation, coding assistants, and document Q&A, mid-tier models usually offer the best balance.

For complex reasoning, multi-step analysis, and tasks where quality directly impacts revenue or safety, use premium models like Claude Opus, GPT-5.5, GPT-5.4, or Gemini Pro.

Claude vs GPT: Which Is Better in 2026?

At the mid tier, Claude Sonnet 4.6 and GPT-5.4 mini have different strengths. Claude Sonnet excels at instruction following, long-form writing, and coding tasks. GPT-5.4 mini fits naturally into the OpenAI ecosystem and works well for tool-heavy applications.

The right choice depends on your specific task. Run both models against your actual evaluation data before committing.

Frequently Asked Questions

It depends on the task. Claude Sonnet and Opus models are strong for coding, instruction following, long documents, and agentic workflows. GPT-5.4 and GPT-5.5 are strong general-purpose OpenAI options with vision, tools, and long-context support.

MiniMax is a lower-cost model provider. It is worth testing for cost-sensitive coding, productivity, and long-input workloads when data handling requirements allow it.

GPT-5.4 nano and GPT-5.4 mini are cheaper than Claude models for many high-volume tasks. Claude Sonnet and Opus cost more but may perform better on coding, instruction following, and long-context reasoning.

Yes. Claude Sonnet 4.6 supports image and text input, including screenshots, charts, diagrams, and other visual assets.

GPT-5.4 is listed here with a 1M token context window. GPT-5.4 mini and GPT-5.4 nano are listed with 400K token context windows.

They can be used in production, but sensitive workloads should be reviewed carefully for data privacy, retention, compliance, and data residency requirements.