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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. Claude Sonnet 5.5AnthropicRemove
  2. GPT-6 Astra ProOpenAIRemove
  3. Muse Spark 1.3MetaRemove
claude-sonnet-5.5 vs gpt-6-astra-pro vs muse-spark-1.3
AttributeClaude Sonnet 5.5claude-sonnet-5.5GPT-6 Astra Progpt-6-astra-proMuse Spark 1.3muse-spark-1.3
Pricing
Input$2.00 / 1M$10.00 / 1M$1.25 / 1M
Output$10.00 / 1M$50.00 / 1M$4.25 / 1M
Cache Write (5m)$2.50 / 1M$10.00 / 1M$1.25 / 1M
Cache Write (1h)$4.00 / 1M$10.00 / 1M$1.25 / 1M
Cache Read$0.20 / 1M$10.00 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderAnthropicOpenAIMeta
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 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.