Skip to content

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. MiMo-V2-ProXiaomiRemove
  2. Universal-3.5 ProAssemblyAIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
mimo-v2-pro vs universal-3-5-pro vs gemini-3.5-transcribe
AttributeMiMo-V2-Promimo-v2-proUniversal-3.5 Prouniversal-3-5-proGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$1.00 / 1M— Not priced per input token— Not priced per input token
Output$3.00 / 1M— Not priced per output token— Not priced per output token
Cache Write (5m)$1.00 / 1MNot applicableNot applicable
Cache Write (1h)$1.00 / 1MNot applicableNot applicable
Cache Read$1.00 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.0MN/A98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoNo
StreamingYesNoNo
Catalogue
ProviderXiaomiAssemblyAIGoogle
Categorychatvoicevoice
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-222026-09-25
Description
SummaryMiMo-V2-Pro is Xiaomi's flagship foundation model with over 1T parameters and a 1M-token context window, optimized for advanced agentic workflows. It is highly adaptable to general agent frameworks such as OpenClaw, delivering strong performance in complex, real-world task execution. Ranking among the top tier on benchmarks like PinchBench and ClawBench, with performance approaching models like Opus 4.6, MiMo-V2-Pro is designed to act as the core intelligence of agent systems, orchestrating workflows, driving production engineering tasks, and delivering reliable results at scale.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.