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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. MiMo-V2-OmniXiaomiRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Gemini 3.5 TranscribeGoogleRemove
mimo-v2-omni vs perceptron-mk1.5 vs gemini-3.5-transcribe
AttributeMiMo-V2-Omnimimo-v2-omniPerceptron Mk1.5perceptron-mk1.5Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.40 / 1M$0.15 / 1M— Not priced per input token
Output$2.00 / 1M$1.50 / 1M— Not priced per output token
Cache Write (5m)$0.40 / 1M$0.15 / 1MNot applicable
Cache Write (1h)$0.40 / 1M$0.15 / 1MNot applicable
Cache Read$0.40 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context262.1K36.9K98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoNo
StreamingYesYesNo
Catalogue
ProviderXiaomiPerceptronGoogle
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-252026-09-25
Description
SummaryMiMo-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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.