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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. Voxtral Small 24B 2507 STTMistral AIRemove
  3. Gemini 4 CarbonGoogleRemove
kimi-k3.1-pro vs voxtral-small-24b-2507-stt vs gemini-4-carbon
AttributeKimi K3.1 Prokimi-k3.1-proVoxtral Small 24B 2507 STTvoxtral-small-24b-2507-sttGemini 4 Carbongemini-4-carbon
Pricing
Input$2.00 / 1M— Not priced per input token$2.00 / 1M
Output$10.00 / 1M— Not priced per output token$10.00 / 1M
Cache Write (5m)$2.00 / 1MNot applicable$2.00 / 1M
Cache Write (1h)$2.00 / 1MNot applicable$2.00 / 1M
Cache Read$2.00 / 1MNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderMoonShot AIMistral AIGoogle
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-08-13—
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.Mistral AI Voxtral Small (24B) speech-to-text. Billed per second of audio.Gemini 4 Carbon is Google's frontier multimodal reasoning model, designed for advanced coding, agentic workflows, and complex multi-step problem solving. It supports text, image, audio, video, and file inputs, enabling integrated reasoning and analysis across diverse modalities. Optimized for long-horizon execution and demanding professional workloads, Gemini 4 Carbon supports up to 1M output tokens through continuation and configurable reasoning effort levels (low, medium, high) to balance reasoning depth, latency, and cost. It is well suited for autonomous agents, software engineering, multimodal analysis, and large-scale workflow automation.