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
Perceptron Mk1.5Perceptron Remove
Qwen3 ASR 0.6BQwen Remove
Grok 4.7SpaceXAI Remove

4 is the maximum. Remove one to add another.

gpt-6-sol-pro vs perceptron-mk1.5 vs qwen3-asr-0.6b vs grok-4.7
Attribute	GPT-6 Sol Progpt-6-sol-pro	Perceptron Mk1.5perceptron-mk1.5	Qwen3 ASR 0.6Bqwen3-asr-0.6b	Grok 4.7grok-4.7
Pricing
Input	$2.00 / 1M	$0.15 / 1M	$0 / 1M	$1.60 / 1M
Output	$10.00 / 1M	$1.50 / 1M	$0 / 1M	$4.80 / 1M
Cache Write (5m)	$2.00 / 1M	$0.15 / 1M	Not applicable	$1.60 / 1M
Cache Write (1h)	$2.00 / 1M	$0.15 / 1M	Not applicable	$1.60 / 1M
Cache Read	$2.00 / 1M	$0.15 / 1M	Not applicable	$1.60 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1.1M	36.9K	N/A	500K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	No	Yes
Function Calling	Yes	No	No	Yes
JSON Mode	Yes	No	No	Yes
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	OpenAI	Perceptron	Qwen	SpaceXAI
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	2026-08-13	—
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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.	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.