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

  1. Grok 4.20 BetaxAIRemove
  2. Claude Sonnet 5.5AnthropicRemove
  3. GPT-6.1 SolOpenAIRemove
grok-4.20-beta vs claude-sonnet-5.5 vs gpt-6.1-sol
AttributeGrok 4.20 Betagrok-4.20-betaClaude Sonnet 5.5claude-sonnet-5.5GPT-6.1 Solgpt-6.1-sol
Pricing
Input$2.00 / 1M$2.00 / 1M$2.00 / 1M
Output$6.00 / 1M$10.00 / 1M$10.00 / 1M
Cache Write (5m)$2.00 / 1M$2.50 / 1M$2.00 / 1M
Cache Write (1h)$2.00 / 1M$4.00 / 1M$2.00 / 1M
Cache Read$2.00 / 1M$0.20 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context2M1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderxAIAnthropicOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryGrok 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.Claude 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-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.