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.

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

4 is the maximum. Remove one to add another.

claude-opus-5.5 vs s1 vs gpt-6-sol-pro vs perceptron-mk1.5
Attribute	Claude Opus 5.5claude-opus-5.5	S1s1	GPT-6 Sol Progpt-6-sol-pro	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$4.00 / 1M	$0 / 1M	$2.00 / 1M	$0.15 / 1M
Output	$20.00 / 1M	$0 / 1M	$10.00 / 1M	$1.50 / 1M
Cache Write (5m)	$5.00 / 1M	Not applicable	$2.00 / 1M	$0.15 / 1M
Cache Write (1h)	$8.00 / 1M	Not applicable	$2.00 / 1M	$0.15 / 1M
Cache Read	$0.40 / 1M	Not applicable	$2.00 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	N/A	1.1M	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	No
Function Calling	Yes	No	Yes	No
JSON Mode	Yes	No	Yes	No
Streaming	Yes	No	Yes	Yes
Catalogue
Provider	Anthropic	Fish Audio	OpenAI	Perceptron
Category	chat	voice	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	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.	Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.	GPT-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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.