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 AstraOpenAI Remove
Qwen3 ASR 1.7BQwen Remove
Grok 4.7SpaceXAI Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

gpt-6-astra vs qwen3-asr-1.7b vs grok-4.7 vs perceptron-mk1.5
Attribute	GPT-6 Astragpt-6-astra	Qwen3 ASR 1.7Bqwen3-asr-1.7b	Grok 4.7grok-4.7	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$10.00 / 1M	$0 / 1M	$1.60 / 1M	$0.15 / 1M
Output	$50.00 / 1M	$0 / 1M	$4.80 / 1M	$1.50 / 1M
Cache Write (5m)	$10.00 / 1M	Not applicable	$1.60 / 1M	$0.15 / 1M
Cache Write (1h)	$10.00 / 1M	Not applicable	$1.60 / 1M	$0.15 / 1M
Cache Read	$10.00 / 1M	Not applicable	$1.60 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	N/A	500K	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	No
Function Calling	Yes	No	Yes	No
JSON Mode	Yes	No	Yes	No
Streaming	Yes	No	Yes	Yes
Catalogue
Provider	OpenAI	Qwen	SpaceXAI	Perceptron
Category	chat	voice	chat	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	GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.	Qwen3-ASR 1.7B 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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.