Skip to content

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.

  1. Gemini 4 ArgonGoogleRemove
  2. Muse Spark OpenMetaRemove
  3. GPT Image 2OpenAIRemove
gemini-4-argon vs muse-spark-open vs gpt-image-2
AttributeGemini 4 Argongemini-4-argonMuse Spark Openmuse-spark-openGPT Image 2gpt-image-2
Pricing
Input$2.00 / 1M$1.25 / 1M—
Output$10.00 / 1M$4.25 / 1M—
Cache Write (5m)$2.00 / 1M$1.25 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$1.25 / 1MNot applicable
Cache Read$2.00 / 1M$1.25 / 1MNot applicable
Web Search$0 / 1M$0 / 1M—
Request——$0.04 / request
Billing——Pay Per Request
Context
Max context1M1M272K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleMetaOpenAI
Categorychatchatimage
Charge typePay As You GoPay As You GoPay Per Request
Released———
Description
SummaryGemini 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.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.GPT Image 2 combines OpenAI's GPT-5.4 with advanced image generation capabilities from GPT Image 2, enabling fully integrated multimodal workflows. It allows users to seamlessly transition between reasoning, coding, and visual generation within a single interaction, making it well suited for creative, development, and agent-driven applications that require both intelligence and visual output.