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.

Perceptron Mk1.5Perceptron Remove
Grok 4.7SpaceXAI Remove
Gemini 3.5 TranscribeGoogle Remove
GPT-6 Sol ProOpenAI Remove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs grok-4.7 vs gemini-3.5-transcribe vs gpt-6-sol-pro
Attribute	Perceptron Mk1.5perceptron-mk1.5	Grok 4.7grok-4.7	Gemini 3.5 Transcribegemini-3.5-transcribe	GPT-6 Sol Progpt-6-sol-pro
Pricing
Input	$0.15 / 1M	$1.60 / 1M	$0 / 1M	$2.00 / 1M
Output	$1.50 / 1M	$4.80 / 1M	$0 / 1M	$10.00 / 1M
Cache Write (5m)	$0.15 / 1M	$1.60 / 1M	Not applicable	$2.00 / 1M
Cache Write (1h)	$0.15 / 1M	$1.60 / 1M	Not applicable	$2.00 / 1M
Cache Read	$0.15 / 1M	$1.60 / 1M	Not applicable	$2.00 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	500K	98.3K	1.1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	Yes
Function Calling	No	Yes	Yes	Yes
JSON Mode	No	Yes	No	Yes
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	Perceptron	SpaceXAI	Google	OpenAI
Category	chat	chat	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	—	2026-09-25	—
Description
Summary	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	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.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	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.