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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.

Muse Spark OpenMeta Remove
Gemini 4 ArgonGoogle Remove
GPT-4o Audio PreviewOpenAI Remove

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Kimi K3.1 Pro
DeepSeek V4.1 Flash 1017
Nemotron 3.5 Super VL (Free)
Nemotron 3.5 Super VL
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

muse-spark-open vs gemini-4-argon vs gpt-4o-audio-preview
Attribute	Muse Spark Openmuse-spark-open	Gemini 4 Argongemini-4-argon	GPT-4o Audio Previewgpt-4o-audio-preview
Pricing
Input	$1.25 / 1M	$2.00 / 1M	$0.875 / 1M
Output	$4.25 / 1M	$10.00 / 1M	$3.50 / 1M
Cache Write (5m)	$1.25 / 1M	$2.00 / 1M	Not applicable
Cache Write (1h)	$1.25 / 1M	$2.00 / 1M	Not applicable
Cache Read	$1.25 / 1M	$2.00 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	1M	128K
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	Yes
Catalogue
Provider	Meta	Google	OpenAI
Category	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	—
Description
Summary	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.	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.	gpt-4o-audio-preview adds support for audio inputs, allowing the model to understand nuances in audio recordings and enrich responses. It currently does not generate audio outputs, and audio input is billed per million audio tokens.