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gpt-6-sol-pro vs aura-2 vs perceptron-mk1.5 vs qwen3-asr-1.7b
Attribute	GPT-6 Sol Progpt-6-sol-pro	Aura-2aura-2	Perceptron Mk1.5perceptron-mk1.5	Qwen3 ASR 1.7Bqwen3-asr-1.7b
Pricing
Input	$2.00 / 1M	$0 / 1M	$0.15 / 1M	$0 / 1M
Output	$10.00 / 1M	$0 / 1M	$1.50 / 1M	$0 / 1M
Cache Write (5m)	$2.00 / 1M	Not applicable	$0.15 / 1M	Not applicable
Cache Write (1h)	$2.00 / 1M	Not applicable	$0.15 / 1M	Not applicable
Cache Read	$2.00 / 1M	Not applicable	$0.15 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1.1M	N/A	36.9K	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	No	No
Function Calling	Yes	No	No	No
JSON Mode	Yes	No	No	No
Streaming	Yes	No	Yes	No
Catalogue
Provider	OpenAI	Deepgram	Perceptron	Qwen
Category	chat	voice	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-07-16	2026-09-25	2026-08-13
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.	Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.