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.

Gemini 4 ArgonGoogle Remove
Muse Spark OpenMeta Remove
Qwen3.8 2.4T A95BAlibaba Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

gemini-4-argon vs muse-spark-open vs qwen3.8-2.4t-a95b vs perceptron-mk1.5
Attribute	Gemini 4 Argongemini-4-argon	Muse Spark Openmuse-spark-open	Qwen3.8 2.4T A95Bqwen3.8-2.4t-a95b	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$2.00 / 1M	$1.25 / 1M	$1.80 / 1M	$0.15 / 1M
Output	$10.00 / 1M	$4.25 / 1M	$5.40 / 1M	$1.50 / 1M
Cache Write (5m)	$2.00 / 1M	$1.25 / 1M	$1.80 / 1M	$0.15 / 1M
Cache Write (1h)	$2.00 / 1M	$1.25 / 1M	$1.80 / 1M	$0.15 / 1M
Cache Read	$2.00 / 1M	$1.25 / 1M	$1.80 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	1M	262K	36.9K
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	Yes
Catalogue
Provider	Google	Meta	Alibaba	Perceptron
Category	chat	chat	chat	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	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.	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.	Qwen3.8 2.4T A95B is Qwen's open-weight sparse Mixture-of-Experts (MoE) model and the open-weight counterpart to Qwen3.8 Max. It features 2.4T total parameters with 95B activated per token, combining frontier-scale capacity with efficient sparse inference. Designed for coding, research, complex reasoning, and agentic workflows, the model is well suited for demanding long-horizon tasks and advanced autonomous systems while providing the flexibility and customization benefits of open weights.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.