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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 Sol ProOpenAIRemove
  2. Claude Sonnet 5.5AnthropicRemove
  3. S1Fish AudioRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

gpt-6-sol-pro vs claude-sonnet-5.5 vs s1 vs gpt-6-luna
AttributeGPT-6 Sol Progpt-6-sol-proClaude Sonnet 5.5claude-sonnet-5.5S1s1GPT-6 Lunagpt-6-luna
Pricing
Input$2.00 / 1M$2.00 / 1M$0 / 1M$0.10 / 1M
Output$10.00 / 1M$10.00 / 1M$0 / 1M$0.50 / 1M
Cache Write (5m)$2.00 / 1M$2.50 / 1MNot applicable$0.10 / 1M
Cache Write (1h)$2.00 / 1M$4.00 / 1MNot applicable$0.10 / 1M
Cache Read$2.00 / 1M$0.20 / 1MNot applicable$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M1MN/A1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderOpenAIAnthropicFish AudioOpenAI
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-07-29—
Description
SummaryGPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.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.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.