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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.

Kimi K3.1 ProMoonShot AI Remove
Gemini 4 ArgonGoogle Remove
GPT TranscribeOpenAI Remove

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DeepSeek V4.1 Flash 1017
Nemotron 3.5 Super VL (Free)
Nemotron 3.5 Super VL
Muse Spark Open
Muse Wonder
Gemini 3.1 Flash Lite Image (Google Vertex AI)
Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access
Gemini 3.1 Flash Image (Google Vertex AI)Enterprise & partner access

kimi-k3.1-pro vs gemini-4-argon vs gpt-transcribe
Attribute	Kimi K3.1 Prokimi-k3.1-pro	Gemini 4 Argongemini-4-argon	GPT Transcribegpt-transcribe
Pricing
Input	$2.00 / 1M	$2.00 / 1M	— Not priced per input token
Output	$10.00 / 1M	$10.00 / 1M	— Not priced per output token
Cache Write (5m)	$2.00 / 1M	$2.00 / 1M	Not applicable
Cache Write (1h)	$2.00 / 1M	$2.00 / 1M	Not applicable
Cache Read	$2.00 / 1M	$2.00 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	1M	N/A
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No
Function Calling	Yes	Yes	No
JSON Mode	Yes	Yes	No
Streaming	Yes	Yes	No
Catalogue
Provider	MoonShot AI	Google	OpenAI
Category	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-08-05
Description
Summary	Kimi 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 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.	OpenAI GPT Transcribe speech-to-text. Billed per second of audio.