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
GPT-6 SolOpenAI Remove
Gemini 3.5 TranscribeGoogle Remove
Qwen3 ASR 0.6BQwen Remove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gpt-6-sol vs gemini-3.5-transcribe vs qwen3-asr-0.6b
Attribute	Perceptron Mk1.5perceptron-mk1.5	GPT-6 Solgpt-6-sol	Gemini 3.5 Transcribegemini-3.5-transcribe	Qwen3 ASR 0.6Bqwen3-asr-0.6b
Pricing
Input	$0.15 / 1M	$2.00 / 1M	$0 / 1M	$0 / 1M
Output	$1.50 / 1M	$10.00 / 1M	$0 / 1M	$0 / 1M
Cache Write (5m)	$0.15 / 1M	$2.00 / 1M	Not applicable	Not applicable
Cache Write (1h)	$0.15 / 1M	$2.00 / 1M	Not applicable	Not applicable
Cache Read	$0.15 / 1M	$2.00 / 1M	Not applicable	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	1.1M	98.3K	N/A
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	No	No
Streaming	Yes	Yes	No	No
Catalogue
Provider	Perceptron	OpenAI	Google	Qwen
Category	chat	chat	voice	voice
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	2026-08-13
Description
Summary	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.