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.

GPT-6 Luna ProOpenAI Remove
Claude Sonnet 5.5Anthropic Remove
S2 ProFish Audio Remove
Grok 4.7SpaceXAI Remove

4 is the maximum. Remove one to add another.

gpt-6-luna-pro vs claude-sonnet-5.5 vs s2-pro vs grok-4.7
Attribute	GPT-6 Luna Progpt-6-luna-pro	Claude Sonnet 5.5claude-sonnet-5.5	S2 Pros2-pro	Grok 4.7grok-4.7
Pricing
Input	$0.10 / 1M	$2.00 / 1M	$0 / 1M	$1.60 / 1M
Output	$0.50 / 1M	$10.00 / 1M	$0 / 1M	$4.80 / 1M
Cache Write (5m)	$0.10 / 1M	$2.50 / 1M	Not applicable	$1.60 / 1M
Cache Write (1h)	$0.10 / 1M	$4.00 / 1M	Not applicable	$1.60 / 1M
Cache Read	$0.10 / 1M	$0.20 / 1M	Not applicable	$1.60 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1.1M	1M	N/A	500K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	Yes
Function Calling	Yes	Yes	No	Yes
JSON Mode	Yes	Yes	No	Yes
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	OpenAI	Anthropic	Fish Audio	SpaceXAI
Category	chat	chat	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-07-29	—
Description
Summary	GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.	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 S2 Pro text-to-speech. Billed per UTF-8 byte of input text.	Grok 4.7 is SpaceXAI's flagship model for coding, agentic workflows, and professional knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering, self-verification, and long-context execution, while improving capabilities in document drafting, presentations, and other professional tasks. Trained with extended reinforcement learning focused on multi-hour problems, Grok 4.7 is optimized for sustained, complex task execution and natively supports the Grok Bot harness for conversational workflows. It also introduces an enhanced safeguard stack designed to combine strong jailbreak resistance with low refusal rates for legitimate technical work. Reported benchmark results use xhigh reasoning effort.