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.

Nemotron 3.5 Super VLNVIDIA Remove
Muse Spark OpenMeta Remove
GLM 5.3Z.AI Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

nemotron-3.5-super-vl vs muse-spark-open vs glm-5.3 vs perceptron-mk1.5
Attribute	Nemotron 3.5 Super VLnemotron-3.5-super-vl	Muse Spark Openmuse-spark-open	GLM 5.3glm-5.3	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$0.10 / 1M	$1.25 / 1M	$1.40 / 1M	$0.15 / 1M
Output	$0.40 / 1M	$4.25 / 1M	$4.40 / 1M	$1.50 / 1M
Cache Write (5m)	$0.10 / 1M	$1.25 / 1M	$1.40 / 1M	$0.15 / 1M
Cache Write (1h)	$0.10 / 1M	$1.25 / 1M	$1.40 / 1M	$0.15 / 1M
Cache Read	$0.10 / 1M	$1.25 / 1M	$1.40 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	1M	1M	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	No
Function Calling	Yes	Yes	Yes	No
JSON Mode	Yes	Yes	Yes	No
Streaming	Yes	Yes	Yes	Yes
Catalogue
Provider	NVIDIA	Meta	Z.AI	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	NVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications.	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.	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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.