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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 LunaOpenAIRemove
  2. S2 ProFish AudioRemove
  3. Claude Sonnet 5.5AnthropicRemove
  4. DeepSeek V4.1 FlashDeepSeekRemove

4 is the maximum. Remove one to add another.

gpt-6-luna vs s2-pro vs claude-sonnet-5.5 vs deepseek-v4.1-flash
AttributeGPT-6 Lunagpt-6-lunaS2 Pros2-proClaude Sonnet 5.5claude-sonnet-5.5DeepSeek V4.1 Flashdeepseek-v4.1-flash
Pricing
Input$0.10 / 1M$0 / 1M$2.00 / 1M$0.30 / 1M
Output$0.50 / 1M$0 / 1M$10.00 / 1M$1.20 / 1M
Cache Write (5m)$0.10 / 1MNot applicable$2.50 / 1M$0.30 / 1M
Cache Write (1h)$0.10 / 1MNot applicable$4.00 / 1M$0.30 / 1M
Cache Read$0.10 / 1MNot applicable$0.20 / 1M$0.30 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderOpenAIFish AudioAnthropicDeepSeek
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-29——
Description
SummaryGPT-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.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.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.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.