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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Claude Sonnet 5.5AnthropicRemove
  2. GPT-6 Luna ProOpenAIRemove
  3. Grok 4.20 BetaxAIRemove
claude-sonnet-5.5 vs gpt-6-luna-pro vs grok-4.20-beta
AttributeClaude Sonnet 5.5claude-sonnet-5.5GPT-6 Luna Progpt-6-luna-proGrok 4.20 Betagrok-4.20-beta
Pricing
Input$2.00 / 1M$0.10 / 1M$2.00 / 1M
Output$10.00 / 1M$0.50 / 1M$6.00 / 1M
Cache Write (5m)$2.50 / 1M$0.10 / 1M$2.00 / 1M
Cache Write (1h)$4.00 / 1M$0.10 / 1M$2.00 / 1M
Cache Read$0.20 / 1M$0.10 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1.1M2M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderAnthropicOpenAIxAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryClaude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.Grok 4.20 Beta is xAI's newest flagship model, designed for high-performance reasoning with industry-leading speed and strong agentic tool-calling capabilities. It emphasizes strict prompt adherence and low hallucination rates, enabling highly reliable and precise responses across complex tasks. Optimized for agent workflows and real-time applications, Grok 4.20 Beta delivers consistent, truthful outputs while maintaining fast inference and strong task execution reliability.