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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. MiMo-V2-OmniXiaomiRemove
gemini-3.5-transcribe vs perceptron-mk1.5 vs mimo-v2-omni
AttributeGemini 3.5 Transcribegemini-3.5-transcribePerceptron Mk1.5perceptron-mk1.5MiMo-V2-Omnimimo-v2-omni
Pricing
Input— Not priced per input token$0.15 / 1M$0.40 / 1M
Output— Not priced per output token$1.50 / 1M$2.00 / 1M
Cache Write (5m)Not applicable$0.15 / 1M$0.40 / 1M
Cache Write (1h)Not applicable$0.15 / 1M$0.40 / 1M
Cache ReadNot applicable$0.15 / 1M$0.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K36.9K262.1K
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeNoNoYes
StreamingNoYesYes
Catalogue
ProviderGooglePerceptronXiaomi
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.MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with advanced agentic capabilities, including visual grounding, multi-step planning, tool use, and code execution. With a 256K context window, MiMo-V2-Omni is well suited for complex real-world tasks that span multiple modalities, enabling integrated reasoning and execution across diverse input types.