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.

S1Fish Audio Remove
GPT-6 LunaOpenAI Remove
Claude Opus 5.5Anthropic Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

s1 vs gpt-6-luna vs claude-opus-5.5 vs perceptron-mk1.5
Attribute	S1s1	GPT-6 Lunagpt-6-luna	Claude Opus 5.5claude-opus-5.5	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$0 / 1M	$0.10 / 1M	$4.00 / 1M	$0.15 / 1M
Output	$0 / 1M	$0.50 / 1M	$20.00 / 1M	$1.50 / 1M
Cache Write (5m)	Not applicable	$0.10 / 1M	$5.00 / 1M	$0.15 / 1M
Cache Write (1h)	Not applicable	$0.10 / 1M	$8.00 / 1M	$0.15 / 1M
Cache Read	Not applicable	$0.10 / 1M	$0.40 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	1.1M	1M	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	No
Function Calling	No	Yes	Yes	No
JSON Mode	No	Yes	Yes	No
Streaming	No	Yes	Yes	Yes
Catalogue
Provider	Fish Audio	OpenAI	Anthropic	Perceptron
Category	voice	chat	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-07-29	—	—	2026-09-25
Description
Summary	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.	Claude Opus 5.5 is Anthropic's flagship model for advanced reasoning, coding, and long-horizon agentic workflows, succeeding Opus 5. It excels at multi-step changes across large codebases, code review and bug detection, financial and scientific analysis, and understanding dense charts, diagrams, and screenshots, with stronger grounding when reporting figures and citing sources. Compared with Opus 5, it completes comparable tasks with fewer steps and lower token usage while providing clearer, more concise progress reporting. With adaptive thinking and configurable effort levels, Opus 5.5 can balance reasoning depth, latency, and cost, making it well suited for both demanding autonomous workflows and latency-sensitive professional tasks.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.