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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. Universal-3.5 ProAssemblyAIRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. MiMo-V2-FlashXiaomiRemove
universal-3-5-pro vs gemini-3.5-transcribe vs mimo-v2-flash
AttributeUniversal-3.5 Prouniversal-3-5-proGemini 3.5 Transcribegemini-3.5-transcribeMiMo-V2-Flashmimo-v2-flash
Pricing
Input— Not priced per input token— Not priced per input token$0.09 / 1M
Output— Not priced per output token— Not priced per output token$0.29 / 1M
Cache Write (5m)Not applicableNot applicable$0.09 / 1M
Cache Write (1h)Not applicableNot applicable$0.09 / 1M
Cache ReadNot applicableNot applicable$0.09 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A98.3K262.1K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoNoYes
StreamingNoNoYes
Catalogue
ProviderAssemblyAIGoogleXiaomi
Categoryvoicevoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-222026-09-25—
Description
SummaryAssemblyAI 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.MiMo-V2-Flash is an open-source Mixture-of-Experts (MoE) foundation model developed by Xiaomi, featuring 309B total parameters with 15B activated per token and a hybrid attention architecture. It supports a 256K context window and a hybrid thinking mode toggle, enabling flexible trade-offs between speed and reasoning depth. The model excels in reasoning, coding, and agentic workflows, ranking #1 globally among open-source models on benchmarks such as SWE-bench Verified and SWE-bench Multilingual. With performance comparable to leading proprietary models like Claude Sonnet 4.5 at a fraction of the cost, MiMo-V2-Flash is well suited for efficient, high-performance deployments.