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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

Gemini 3.5 TranscribeGoogle Remove
Hy3Tencent Remove
Perceptron Mk1.5Perceptron Remove

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gemini-3.5-transcribe vs hy3 vs perceptron-mk1.5
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	Hy3hy3	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	— Not priced per input token	$0.14 / 1M	$0.15 / 1M
Output	— Not priced per output token	$0.58 / 1M	$1.50 / 1M
Cache Write (5m)	Not applicable	$0.14 / 1M	$0.15 / 1M
Cache Write (1h)	Not applicable	$0.14 / 1M	$0.15 / 1M
Cache Read	Not applicable	$0.14 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	98.3K	262K	36.9K
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No
Function Calling	Yes	Yes	No
JSON Mode	No	Yes	No
Streaming	No	Yes	Yes
Catalogue
Provider	Google	Tencent	Perceptron
Category	voice	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	—	2026-09-25
Description
Summary	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.