Skip to content

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.

  1. Kimi K3.1 ProMoonShot AIRemove
  2. Transcribe 1 ProFish AudioRemove
  3. Gemini 3 Pro Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
kimi-k3.1-pro vs transcribe-1-pro vs gemini-3-pro-image-vertex
AttributeKimi K3.1 Prokimi-k3.1-proTranscribe 1 Protranscribe-1-proGemini 3 Pro Image (Google Vertex AI)gemini-3-pro-image-vertex
Pricing
Input$2.00 / 1M— Not priced per input token—
Output$10.00 / 1M— Not priced per output token—
Cache Write (5m)$2.00 / 1MNot applicableNot applicable
Cache Write (1h)$2.00 / 1MNot applicableNot applicable
Cache Read$2.00 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M—
Request——$0.134 / request
Billing——Pay Per Request
Context
Max context1MN/AN/A
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoNo
JSON ModeYesNoNo
StreamingYesNoNo
Catalogue
ProviderMoonShot AIFish AudioGoogle
Categorychatvoiceimage
Charge typePay As You GoPay As You GoPay Per Request
Released—2026-09-24—
Description
SummaryKimi 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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.Gemini 3 Pro Image served from Google Vertex AI. Billed per image at US$0.134. 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.