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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. GPT-6 AstraOpenAIRemove
  2. Claude Sonnet 5.5AnthropicRemove
  3. Muse Spark 1.3MetaRemove
  4. S1Fish AudioRemove

4 is the maximum. Remove one to add another.

gpt-6-astra vs claude-sonnet-5.5 vs muse-spark-1.3 vs s1
AttributeGPT-6 Astragpt-6-astraClaude Sonnet 5.5claude-sonnet-5.5Muse Spark 1.3muse-spark-1.3S1s1
Pricing
Input$10.00 / 1M$2.00 / 1M$1.25 / 1M$0 / 1M
Output$50.00 / 1M$10.00 / 1M$4.25 / 1M$0 / 1M
Cache Write (5m)$10.00 / 1M$2.50 / 1M$1.25 / 1MNot applicable
Cache Write (1h)$10.00 / 1M$4.00 / 1M$1.25 / 1MNot applicable
Cache Read$10.00 / 1M$0.20 / 1M$1.25 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderOpenAIAnthropicMetaFish Audio
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released———2026-07-29
Description
SummaryGPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.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.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.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.