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
Gemini 4 HydrogenGoogle Remove
Muse Spark OpenMeta Remove
Nova-3Deepgram Remove

4 is the maximum. Remove one to add another.

kimi-k3.1-pro vs gemini-4-hydrogen vs muse-spark-open vs nova-3
Attribute	Kimi K3.1 Prokimi-k3.1-pro	Gemini 4 Hydrogengemini-4-hydrogen	Muse Spark Openmuse-spark-open	Nova-3nova-3
Pricing
Input	$2.00 / 1M	$1.50 / 1M	$1.25 / 1M	— Not priced per input token
Output	$10.00 / 1M	$7.50 / 1M	$4.25 / 1M	— Not priced per output token
Cache Write (5m)	$2.00 / 1M	$1.50 / 1M	$1.25 / 1M	Not applicable
Cache Write (1h)	$2.00 / 1M	$1.50 / 1M	$1.25 / 1M	Not applicable
Cache Read	$2.00 / 1M	$1.50 / 1M	$1.25 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	1M	1M	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	Yes	No
Function Calling	Yes	Yes	Yes	No
JSON Mode	Yes	Yes	Yes	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	MoonShot AI	Google	Meta	Deepgram
Category	chat	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	—	2026-07-15
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 Hydrogen is Google's high-efficiency multimodal model in the Gemini 4 family, optimized for high-throughput agentic workflows, coding, and multi-model routing. It delivers strong performance at lower cost and latency than Gemini 4 Carbon, supporting text, image, audio, video, and file inputs for versatile multimodal applications. Designed for scalable production workloads and long-horizon execution, Gemini 4 Hydrogen supports up to 1M output tokens through continuation and configurable reasoning effort levels (low, medium, high, and xhigh) to balance reasoning depth, speed, and cost. It is well suited for coding assistants, autonomous agents, complex workflow automation, and large-scale AI systems.	Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.	Deepgram Nova-3 speech-to-text. Billed per second of audio.