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 Sol ProOpenAI Remove
Claude Opus 5.5Anthropic Remove
Perceptron Mk1.5Perceptron Remove
Transcribe 1Fish Audio Remove

4 is the maximum. Remove one to add another.

gpt-6-sol-pro vs claude-opus-5.5 vs perceptron-mk1.5 vs transcribe-1
Attribute	GPT-6 Sol Progpt-6-sol-pro	Claude Opus 5.5claude-opus-5.5	Perceptron Mk1.5perceptron-mk1.5	Transcribe 1transcribe-1
Pricing
Input	$2.00 / 1M	$4.00 / 1M	$0.15 / 1M	$0 / 1M
Output	$10.00 / 1M	$20.00 / 1M	$1.50 / 1M	$0 / 1M
Cache Write (5m)	$2.00 / 1M	$5.00 / 1M	$0.15 / 1M	Not applicable
Cache Write (1h)	$2.00 / 1M	$8.00 / 1M	$0.15 / 1M	Not applicable
Cache Read	$2.00 / 1M	$0.40 / 1M	$0.15 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1.1M	1M	36.9K	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	No
Function Calling	Yes	Yes	No	No
JSON Mode	Yes	Yes	No	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	OpenAI	Anthropic	Perceptron	Fish Audio
Category	chat	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-09-25	2026-07-29
Description
Summary	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.	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.	Fish Audio Transcribe 1 speech-to-text. Billed per second of audio.