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.

Grok 4.7SpaceXAI Remove
GPT-6 Luna ProOpenAI Remove
Qwen3 ASR 0.6BQwen Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

grok-4.7 vs gpt-6-luna-pro vs qwen3-asr-0.6b vs perceptron-mk1.5
Attribute	Grok 4.7grok-4.7	GPT-6 Luna Progpt-6-luna-pro	Qwen3 ASR 0.6Bqwen3-asr-0.6b	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$1.60 / 1M	$0.10 / 1M	$0 / 1M	$0.15 / 1M
Output	$4.80 / 1M	$0.50 / 1M	$0 / 1M	$1.50 / 1M
Cache Write (5m)	$1.60 / 1M	$0.10 / 1M	Not applicable	$0.15 / 1M
Cache Write (1h)	$1.60 / 1M	$0.10 / 1M	Not applicable	$0.15 / 1M
Cache Read	$1.60 / 1M	$0.10 / 1M	Not applicable	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	500K	1.1M	N/A	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	No
Function Calling	Yes	Yes	No	No
JSON Mode	Yes	Yes	No	No
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	SpaceXAI	OpenAI	Qwen	Perceptron
Category	chat	chat	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-08-13	2026-09-25
Description
Summary	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.	GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.	Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.