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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. Gemini 3.1 Flash TTS PreviewGoogleRemove
kimi-k3.1-pro vs gemini-3.1-flash-tts-preview
AttributeKimi K3.1 Prokimi-k3.1-proGemini 3.1 Flash TTS Previewgemini-3.1-flash-tts-preview
Pricing
Input$2.00 / 1M$27.50 / 1M
Output$10.00 / 1M— Not priced per output token
Cache Write (5m)$2.00 / 1MNot applicable
Cache Write (1h)$2.00 / 1MNot applicable
Cache Read$2.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M
Context
Max context1M8.2K
Max outputN/AN/A
Capabilities
VisionYesNo
Function CallingYesNo
JSON ModeYesYes
StreamingYesNo
Catalogue
ProviderMoonShot AIGoogle
Categorychatvoice
Charge typePay As You GoPay As You Go
Released——
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.Gemini 3.1 Flash TTS Preview is Google's next-generation text-to-speech model, delivering a major upgrade over Gemini 2.5 Flash TTS. It converts text into natural audio across 70+ languages, with significantly expanded language coverage and improved quality. The model introduces 200+ inline audio control tags (e.g., [whispers], [laughs], [excited]) for fine-grained control over emotion, tone, and pacing, along with support for two speakers with independent voice and style settings. It outputs 24 kHz / 16-bit PCM audio, includes SynthID watermarking, and supports a 32K token context window. Designed for expressive and controllable voice generation, it is well suited for dialogue systems, storytelling, character-driven content, and advanced audio production workflows.