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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. Hy4 previewTencentRemove
  3. Transcribe 1 ProFish AudioRemove
  4. Gemini 4 ArgonGoogleRemove

4 is the maximum. Remove one to add another.

kimi-k3.1-pro vs hy4-preview vs transcribe-1-pro vs gemini-4-argon
AttributeKimi K3.1 Prokimi-k3.1-proHy4 previewhy4-previewTranscribe 1 Protranscribe-1-proGemini 4 Argongemini-4-argon
Pricing
Input$2.00 / 1M$0.834 / 1M— Not priced per input token$2.00 / 1M
Output$10.00 / 1M$2.50 / 1M— Not priced per output token$10.00 / 1M
Cache Write (5m)$2.00 / 1M$0.834 / 1MNot applicable$2.00 / 1M
Cache Write (1h)$2.00 / 1M$0.834 / 1MNot applicable$2.00 / 1M
Cache Read$2.00 / 1M$0.834 / 1MNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1MN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderMoonShot AITencentFish AudioGoogle
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
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.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.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 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.