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.

Perceptron Mk1.5Perceptron Remove
GPT-6 LunaOpenAI Remove
GPT-6 AstraOpenAI Remove
Qwen3 ASR 0.6BQwen Remove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gpt-6-luna vs gpt-6-astra vs qwen3-asr-0.6b
Attribute	Perceptron Mk1.5perceptron-mk1.5	GPT-6 Lunagpt-6-luna	GPT-6 Astragpt-6-astra	Qwen3 ASR 0.6Bqwen3-asr-0.6b
Pricing
Input	$0.15 / 1M	$0.10 / 1M	$10.00 / 1M	$0 / 1M
Output	$1.50 / 1M	$0.50 / 1M	$50.00 / 1M	$0 / 1M
Cache Write (5m)	$0.15 / 1M	$0.10 / 1M	$10.00 / 1M	Not applicable
Cache Write (1h)	$0.15 / 1M	$0.10 / 1M	$10.00 / 1M	Not applicable
Cache Read	$0.15 / 1M	$0.10 / 1M	$10.00 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	1.1M	1M	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	No
Function Calling	No	Yes	Yes	No
JSON Mode	No	Yes	Yes	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	Perceptron	OpenAI	OpenAI	Qwen
Category	chat	chat	chat	voice
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	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.	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 0.6B speech-to-text. Billed per second of audio.