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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. Kimi K3.1 ProMoonShot AIRemove
  2. GPT TranscribeOpenAIRemove
  3. Gemini 3.1 Flash Lite Image (Google AI Studio)GoogleEnterprise & partner accessRemove
kimi-k3.1-pro vs gpt-transcribe vs gemini-3.1-flash-lite-image-aistudio
AttributeKimi K3.1 Prokimi-k3.1-proGPT Transcribegpt-transcribeGemini 3.1 Flash Lite Image (Google AI Studio)gemini-3.1-flash-lite-image-aistudio
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——$0.0336 / request
Billing——Pay Per Request
Context
Max context1MN/AN/A
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoNo
JSON ModeYesNoNo
StreamingYesNoNo
Catalogue
ProviderMoonShot AIOpenAIGoogle
Categorychatvoiceimage
Charge typePay As You GoPay As You GoPay Per Request
Released—2026-08-05—
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.OpenAI GPT Transcribe speech-to-text. Billed per second of audio.Gemini 3.1 Flash Lite Image served from Google AI Studio. Billed per image at US$0.0336. 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 1K. A request for a larger size returns a 1K 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.