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.

Kimi K3.1 ProMoonShot AI Remove
S1Fish Audio Remove
Gemini 4 ArgonGoogle Remove
Claude Fable 5.2Anthropic Remove

4 is the maximum. Remove one to add another.

kimi-k3.1-pro vs s1 vs gemini-4-argon vs claude-fable-5.2
Attribute	Kimi K3.1 Prokimi-k3.1-pro	S1s1	Gemini 4 Argongemini-4-argon	Claude Fable 5.2claude-fable-5.2
Pricing
Input	$2.00 / 1M	— Not priced per input token	$2.00 / 1M	$8.00 / 1M
Output	$10.00 / 1M	— Not priced per output token	$10.00 / 1M	$40.00 / 1M
Cache Write (5m)	$2.00 / 1M	Not applicable	$2.00 / 1M	$10.00 / 1M
Cache Write (1h)	$2.00 / 1M	Not applicable	$2.00 / 1M	$16.00 / 1M
Cache Read	$2.00 / 1M	Not applicable	$2.00 / 1M	$0.20 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	N/A	1M	1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	Yes
Function Calling	Yes	No	Yes	Yes
JSON Mode	Yes	No	Yes	Yes
Streaming	Yes	No	Yes	Yes
Catalogue
Provider	MoonShot AI	Fish Audio	Google	Anthropic
Category	chat	voice	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-07-29	—	—
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.	Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.	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.	Claude Fable 5.2 is Anthropic's most capable model for advanced technical work and open-ended problem solving, delivering significant improvements in coding, reasoning, and vision over Fable 5.1. It excels at exceptionally complex tasks, including large-scale software migrations, electronic system design, and advanced scientific and mathematical research. With up to 30% faster output generation, clearer communication, and always-on adaptive extended thinking, Fable 5.2 supports configurable reasoning effort from low to max (default high), with thinking preserved across turns. Designed for frontier engineering, scientific discovery, and ambitious long-horizon agentic workflows, it complements Opus 5.5 as a specialized option for the most demanding technical challenges.