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.

Aura-2Deepgram Remove
Perceptron Mk1.5Perceptron Remove
Grok 4.7SpaceXAI Remove
Qwen3 ASR 0.6BQwen Remove

4 is the maximum. Remove one to add another.

aura-2 vs perceptron-mk1.5 vs grok-4.7 vs qwen3-asr-0.6b
Attribute	Aura-2aura-2	Perceptron Mk1.5perceptron-mk1.5	Grok 4.7grok-4.7	Qwen3 ASR 0.6Bqwen3-asr-0.6b
Pricing
Input	$0 / 1M	$0.15 / 1M	$1.60 / 1M	$0 / 1M
Output	$0 / 1M	$1.50 / 1M	$4.80 / 1M	$0 / 1M
Cache Write (5m)	Not applicable	$0.15 / 1M	$1.60 / 1M	Not applicable
Cache Write (1h)	Not applicable	$0.15 / 1M	$1.60 / 1M	Not applicable
Cache Read	Not applicable	$0.15 / 1M	$1.60 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	36.9K	500K	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	No	Yes	No
Function Calling	No	No	Yes	No
JSON Mode	No	No	Yes	No
Streaming	No	Yes	Yes	No
Catalogue
Provider	Deepgram	Perceptron	SpaceXAI	Qwen
Category	voice	chat	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	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.	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.	Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.