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
Hy3Tencent Remove
Gemini 3.5 TranscribeGoogle Remove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gpt-6-luna vs hy3 vs gemini-3.5-transcribe
Attribute	Perceptron Mk1.5perceptron-mk1.5	GPT-6 Lunagpt-6-luna	Hy3hy3	Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input	$0.15 / 1M	$0.10 / 1M	$0.14 / 1M	— Not priced per input token
Output	$1.50 / 1M	$0.50 / 1M	$0.58 / 1M	— Not priced per output token
Cache Write (5m)	$0.15 / 1M	$0.10 / 1M	$0.14 / 1M	Not applicable
Cache Write (1h)	$0.15 / 1M	$0.10 / 1M	$0.14 / 1M	Not applicable
Cache Read	$0.15 / 1M	$0.10 / 1M	$0.14 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	1.1M	262K	98.3K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	Yes
Function Calling	No	Yes	Yes	Yes
JSON Mode	No	Yes	Yes	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	Perceptron	OpenAI	Tencent	Google
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	—	—	2026-09-25
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.	Hy3 is Tencent's 295B-parameter Mixture-of-Experts (MoE) model, activating 21B parameters per token across 192 experts, and designed for reasoning, agentic workflows, and production-scale applications. It supports a 256K-token context window and configurable reasoning modes, including no-think, low, and high reasoning effort to balance speed and problem-solving depth. Optimized for long-horizon tasks, coding, and tool-driven execution, Hy3 delivers strong performance in multi-turn reasoning, constraint tracking, and stable tool calling. With an emphasis on grounded responses and reduced hallucinations, it is well suited for software development, document processing, financial analysis, game development, and enterprise agent workflows.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.