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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. Gemini 3.7 FlashGoogleRemove
  3. Muse Spark OpenMetaRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

gemini-4-argon vs gemini-3.7-flash vs muse-spark-open vs perceptron-mk1.5
AttributeGemini 4 Argongemini-4-argonGemini 3.7 Flashgemini-3.7-flashMuse Spark Openmuse-spark-openPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$2.00 / 1M$0.375 / 1M$1.25 / 1M$0.15 / 1M
Output$10.00 / 1M$1.88 / 1M$4.25 / 1M$1.50 / 1M
Cache Write (5m)$2.00 / 1M$0.375 / 1M$1.25 / 1M$0.15 / 1M
Cache Write (1h)$2.00 / 1M$0.375 / 1M$1.25 / 1M$0.15 / 1M
Cache Read$2.00 / 1M$0.375 / 1M$1.25 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesYes
Catalogue
ProviderGoogleGoogleMetaPerceptron
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released———2026-09-25
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.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.