Which AI model has the largest context window?
OpenAI's GPT-6 models (Astra, Sol, Luna, GPT-6.1 Sol and GPT-6.1 Terra), the GPT-5.6 models, GPT-5.5 and GPT-5.4, at 1.05 million tokens through the API. GPT-4.1, Claude Fable 5.1, Opus 5.5, Sonnet 5.5 and Haiku 5.5, Gemini 4 Argon and the Gemini 3 family, and Grok 4.3 and Grok 4.20 all accept 1 million.
Which AI model is cheapest?
Among models with a published list price, GPT-5 nano at $0.05 input and $0.40 output per million tokens, then GPT-6 Luna and Claude Haiku 5.5 at $0.10 and $0.50 (Haiku 5.5 rises to $0.50 and $2.50 on prompts over 100K tokens), then GPT-5.6 Luna at $0.20 and $1.20 and GPT-5.4 nano at $0.20 and $1.25. Which is cheapest for you depends on the ratio of input to output tokens in your workload, which the cost calculator prices exactly.
What is the difference between context window and max output?
The context window is everything the model can consider at once: your prompt, the conversation history, attached files and the reply it is writing. Max output is the ceiling on one reply. GPT-4.1 has a 1M-token window but stops at 32,768 tokens per answer, while the GPT-6 and GPT-5.6 models, GPT-5.5, GPT-5.4 and the current Claude models can write up to 128K in one reply.
Which model can write the longest single reply?
The GPT-6 models, GPT-5.6 Sol, Terra and Luna, GPT-5.5, GPT-5.4 and their Pro, mini and nano tiers, and Claude Fable 5.1, Opus 5.5, Sonnet 5.5 and Haiku 5.5, all list a 128K-token max output. Gemini 4 Argon and the current Gemini 3 models list 65,536 by default, the legacy Claude Haiku 4.5 64K, and GPT-4.1 32,768. xAI does not publish a separate output cap for Grok; the reply is bounded by the remaining context.
Do OpenAI prices change with prompt length?
Yes. On its 1.05M-context models (the GPT-6 models, the GPT-5.6 trio, GPT-5.5 and GPT-5.4), OpenAI bills any request whose input exceeds 272K tokens at 2x the input rate and 1.5x the output rate for the whole request. The table and the cost calculator carry the standard rate, so price a very long prompt at the higher tier.
Does a large context window make a model better?
It makes more fit in one call, which matters for long documents, large codebases and long-running threads. It does not by itself improve reasoning, and a long prompt costs more per call because every input token is billed. Match the window to the job and check the max output separately if you need long replies.
How current is this comparison?
Every figure was re-verified on October 28, 2026 against the provider's own pages: developers.openai.com, platform.claude.com, ai.google.dev (Standard paid tier) and docs.x.ai. Gemini 4 Argon, 3.8 Flash and 3.6 Flash carry launch prices that rise on December 1, 2026 and January 1, 2027, noted in the table. Confirm on openai.com/pricing, platform.claude.com, ai.google.dev/pricing and docs.x.ai/pricing before budgeting.
Does AI Toolbox work with all of these models?
Yes, whichever model you pick inside ChatGPT, Gemini, Claude or Grok. AI Toolbox is a browser extension that adds folders, full-text search, export, a context gauge and a prompt library on top of the accounts you already have; it is not an AI subscription and does not sell model access. The gauge and 10 saved prompts are free, and Premium is $9.99/month or $99 once per module.