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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. Perceptron Mk1.5PerceptronRemove
  2. MiMo-V2-FlashXiaomiRemove
  3. Transcribe 1 ProFish AudioRemove
perceptron-mk1.5 vs mimo-v2-flash vs transcribe-1-pro
AttributePerceptron Mk1.5perceptron-mk1.5MiMo-V2-Flashmimo-v2-flashTranscribe 1 Protranscribe-1-pro
Pricing
Input$0.15 / 1M$0.09 / 1M— Not priced per input token
Output$1.50 / 1M$0.29 / 1M— Not priced per output token
Cache Write (5m)$0.15 / 1M$0.09 / 1MNot applicable
Cache Write (1h)$0.15 / 1M$0.09 / 1MNot applicable
Cache Read$0.15 / 1M$0.09 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K262.1KN/A
Max outputN/AN/AN/A
Capabilities
VisionNoYesNo
Function CallingNoYesNo
JSON ModeNoYesNo
StreamingYesYesNo
Catalogue
ProviderPerceptronXiaomiFish Audio
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-09-24
Description
SummaryPerceptron 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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.