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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. Gemini 3.5 TranscribeGoogleRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. MiMo-V2-FlashXiaomiRemove
gemini-3.5-transcribe vs perceptron-mk1.5 vs mimo-v2-flash
AttributeGemini 3.5 Transcribegemini-3.5-transcribePerceptron Mk1.5perceptron-mk1.5MiMo-V2-Flashmimo-v2-flash
Pricing
Input— Not priced per input token$0.15 / 1M$0.09 / 1M
Output— Not priced per output token$1.50 / 1M$0.29 / 1M
Cache Write (5m)Not applicable$0.15 / 1M$0.09 / 1M
Cache Write (1h)Not applicable$0.15 / 1M$0.09 / 1M
Cache ReadNot applicable$0.15 / 1M$0.09 / 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-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.