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.

Perceptron Mk1.5Perceptron Remove
Transcribe 1 ProFish Audio Remove
MiMo-V2-FlashXiaomi Remove
Gemini 3.5 TranscribeGoogle Remove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs transcribe-1-pro vs mimo-v2-flash vs gemini-3.5-transcribe
Attribute	Perceptron Mk1.5perceptron-mk1.5	Transcribe 1 Protranscribe-1-pro	MiMo-V2-Flashmimo-v2-flash	Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input	$0.15 / 1M	— Not priced per input token	$0.09 / 1M	— Not priced per input token
Output	$1.50 / 1M	— Not priced per output token	$0.29 / 1M	— Not priced per output token
Cache Write (5m)	$0.15 / 1M	Not applicable	$0.09 / 1M	Not applicable
Cache Write (1h)	$0.15 / 1M	Not applicable	$0.09 / 1M	Not applicable
Cache Read	$0.15 / 1M	Not applicable	$0.09 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	N/A	262.1K	98.3K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	No	Yes	Yes
Function Calling	No	No	Yes	Yes
JSON Mode	No	No	Yes	No
Streaming	Yes	No	Yes	No
Catalogue
Provider	Perceptron	Fish Audio	Xiaomi	Google
Category	chat	voice	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	2026-09-24	—	2026-09-25
Description
Summary	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per 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.	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.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.