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.

Muse Spark 1.3Meta Remove
GLM 5.3Z.AI Remove
Gemini 3.5 TranscribeGoogle Remove
Kimi K3.1 ProMoonShot AI Remove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs glm-5.3 vs gemini-3.5-transcribe vs kimi-k3.1-pro
Attribute	Muse Spark 1.3muse-spark-1.3	GLM 5.3glm-5.3	Gemini 3.5 Transcribegemini-3.5-transcribe	Kimi K3.1 Prokimi-k3.1-pro
Pricing
Input	$1.25 / 1M	$1.40 / 1M	— Not priced per input token	$2.00 / 1M
Output	$4.25 / 1M	$4.40 / 1M	— Not priced per output token	$10.00 / 1M
Cache Write (5m)	$1.25 / 1M	$1.40 / 1M	Not applicable	$2.00 / 1M
Cache Write (1h)	$1.25 / 1M	$1.40 / 1M	Not applicable	$2.00 / 1M
Cache Read	$1.25 / 1M	$1.40 / 1M	Not applicable	$2.00 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	1M	98.3K	1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	Yes
Function Calling	Yes	Yes	Yes	Yes
JSON Mode	Yes	Yes	No	Yes
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	Meta	Z.AI	Google	MoonShot AI
Category	chat	chat	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-09-25	—
Description
Summary	Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.	GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	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.