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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 1Fish AudioRemove
  3. Gemini 4 CarbonGoogleRemove
  4. Gemini 4 ArgonGoogleRemove

4 is the maximum. Remove one to add another.

kimi-k3.1-pro vs transcribe-1 vs gemini-4-carbon vs gemini-4-argon
AttributeKimi K3.1 Prokimi-k3.1-proTranscribe 1transcribe-1Gemini 4 Carbongemini-4-carbonGemini 4 Argongemini-4-argon
Pricing
Input$2.00 / 1M— Not priced per input token$2.00 / 1M$2.00 / 1M
Output$10.00 / 1M— Not priced per output token$10.00 / 1M$10.00 / 1M
Cache Write (5m)$2.00 / 1MNot applicable$2.00 / 1M$2.00 / 1M
Cache Write (1h)$2.00 / 1MNot applicable$2.00 / 1M$2.00 / 1M
Cache Read$2.00 / 1MNot applicable$2.00 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderMoonShot AIFish AudioGoogleGoogle
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-29——
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 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.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.