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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-FlashXiaomiRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Transcribe 1 ProFish AudioRemove
mimo-v2-flash vs gemini-3.5-transcribe vs transcribe-1-pro
AttributeMiMo-V2-Flashmimo-v2-flashGemini 3.5 Transcribegemini-3.5-transcribeTranscribe 1 Protranscribe-1-pro
Pricing
Input$0.09 / 1M— Not priced per input token— Not priced per input token
Output$0.29 / 1M— Not priced per output token— Not priced per output token
Cache Write (5m)$0.09 / 1MNot applicableNot applicable
Cache Write (1h)$0.09 / 1MNot applicableNot applicable
Cache Read$0.09 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context262.1K98.3KN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesNoNo
StreamingYesNoNo
Catalogue
ProviderXiaomiGoogleFish Audio
Categorychatvoicevoice
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-252026-09-24
Description
SummaryMiMo-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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.