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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. Transcribe 1 ProFish AudioRemove
  2. Kimi K3.1 ProMoonShot AIRemove
  3. Gemini 3.1 Flash Image (Google AI Studio)GoogleEnterprise & partner accessRemove
transcribe-1-pro vs kimi-k3.1-pro vs gemini-3.1-flash-image-aistudio
AttributeTranscribe 1 Protranscribe-1-proKimi K3.1 Prokimi-k3.1-proGemini 3.1 Flash Image (Google AI Studio)gemini-3.1-flash-image-aistudio
Pricing
Input— Not priced per input token$2.00 / 1M—
Output— Not priced per output token$10.00 / 1M—
Cache Write (5m)Not applicable$2.00 / 1MNot applicable
Cache Write (1h)Not applicable$2.00 / 1MNot applicable
Cache ReadNot applicable$2.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M—
Request——$0.067 / request
Billing——Pay Per Request
Context
Max contextN/A1MN/A
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesNo
JSON ModeNoYesNo
StreamingNoYesNo
Catalogue
ProviderFish AudioMoonShot AIGoogle
Categoryvoicechatimage
Charge typePay As You GoPay As You GoPay Per Request
Released2026-09-24——
Description
SummaryFish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, building on Kimi K3 with enhanced post-training for advanced reasoning and autonomous task execution. It features a 1M-token context window and native image and video understanding, enabling complex, long-context multimodal workflows. Optimized for long-horizon coding, 3D creation, financial research, and end-to-end agentic knowledge work, Kimi K3.1 Pro is well suited for autonomous software engineering, multimodal analysis, and complex professional workflows that require sustained reasoning and reliable execution.Gemini 3.1 Flash Image served from Google AI Studio. Billed per image at US$0.067. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 2K. A request for a larger size, such as 4K or 4096x4096, returns a 2K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size, for example 4096x4096->2048x2048.