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.

Claude Sonnet 5.5Anthropic Remove
Hy3Tencent Remove
Gemini 3.5 TranscribeGoogle Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

claude-sonnet-5.5 vs hy3 vs gemini-3.5-transcribe vs perceptron-mk1.5
Attribute	Claude Sonnet 5.5claude-sonnet-5.5	Hy3hy3	Gemini 3.5 Transcribegemini-3.5-transcribe	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$2.00 / 1M	$0.14 / 1M	— Not priced per input token	$0.15 / 1M
Output	$10.00 / 1M	$0.58 / 1M	— Not priced per output token	$1.50 / 1M
Cache Write (5m)	$2.50 / 1M	$0.14 / 1M	Not applicable	$0.15 / 1M
Cache Write (1h)	$4.00 / 1M	$0.14 / 1M	Not applicable	$0.15 / 1M
Cache Read	$0.20 / 1M	$0.14 / 1M	Not applicable	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	262K	98.3K	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	Yes	No
Function Calling	Yes	Yes	Yes	No
JSON Mode	Yes	Yes	No	No
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	Anthropic	Tencent	Google	Perceptron
Category	chat	chat	voice	chat
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	Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.	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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.