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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.

  1. Universal-3.5 ProAssemblyAIRemove
  2. Hy3TencentRemove
  3. Gemini 3.5 TranscribeGoogleRemove
universal-3-5-pro vs hy3 vs gemini-3.5-transcribe
AttributeUniversal-3.5 Prouniversal-3-5-proHy3hy3Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input— Not priced per input token$0.14 / 1M— Not priced per input token
Output— Not priced per output token$0.58 / 1M— Not priced per output token
Cache Write (5m)Not applicable$0.14 / 1MNot applicable
Cache Write (1h)Not applicable$0.14 / 1MNot applicable
Cache ReadNot applicable$0.14 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A262K98.3K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesNo
StreamingNoYesNo
Catalogue
ProviderAssemblyAITencentGoogle
Categoryvoicechatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-22—2026-09-25
Description
SummaryAssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.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.