Skip to content
Apertis

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.

  1. Gemini 3.5 TranscribeGoogleRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Hy3TencentRemove
gemini-3.5-transcribe vs perceptron-mk1.5 vs hy3
AttributeGemini 3.5 Transcribegemini-3.5-transcribePerceptron Mk1.5perceptron-mk1.5Hy3hy3
Pricing
Input— Not priced per input token$0.15 / 1M$0.14 / 1M
Output— Not priced per output token$1.50 / 1M$0.58 / 1M
Cache Write (5m)Not applicable$0.15 / 1M$0.14 / 1M
Cache Write (1h)Not applicable$0.15 / 1M$0.14 / 1M
Cache ReadNot applicable$0.15 / 1M$0.14 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K36.9K262K
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeNoNoYes
StreamingNoYesYes
Catalogue
ProviderGooglePerceptronTencent
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-252026-09-25—
Description
SummaryGoogle 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.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.