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.

Qwen3 ASR 1.7BQwen Remove
Perceptron Mk1.5Perceptron Remove
GPT-6 LunaOpenAI Remove
GPT-6 AstraOpenAI Remove

4 is the maximum. Remove one to add another.

qwen3-asr-1.7b vs perceptron-mk1.5 vs gpt-6-luna vs gpt-6-astra
Attribute	Qwen3 ASR 1.7Bqwen3-asr-1.7b	Perceptron Mk1.5perceptron-mk1.5	GPT-6 Lunagpt-6-luna	GPT-6 Astragpt-6-astra
Pricing
Input	$0 / 1M	$0.15 / 1M	$0.10 / 1M	$10.00 / 1M
Output	$0 / 1M	$1.50 / 1M	$0.50 / 1M	$50.00 / 1M
Cache Write (5m)	Not applicable	$0.15 / 1M	$0.10 / 1M	$10.00 / 1M
Cache Write (1h)	Not applicable	$0.15 / 1M	$0.10 / 1M	$10.00 / 1M
Cache Read	Not applicable	$0.15 / 1M	$0.10 / 1M	$10.00 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	36.9K	1.1M	1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	No	Yes	Yes
Function Calling	No	No	Yes	Yes
JSON Mode	No	No	Yes	Yes
Streaming	No	Yes	Yes	Yes
Catalogue
Provider	Qwen	Perceptron	OpenAI	OpenAI
Category	voice	chat	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	Qwen3-ASR 1.7B 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.	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.