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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. Nemotron 3.5 Super VL (Free)NVIDIARemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Muse Spark OpenMetaRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

nemotron-3.5-super-vl:free vs perceptron-mk1.5 vs muse-spark-open vs glm-5.3
AttributeNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freePerceptron Mk1.5perceptron-mk1.5Muse Spark Openmuse-spark-openGLM 5.3glm-5.3
Pricing
Input$0 / 1M$0.15 / 1M$1.25 / 1M$1.40 / 1M
Output$0 / 1M$1.50 / 1M$4.25 / 1M$4.40 / 1M
Cache Write$0 / 1M———
Cache Read$0 / 1M$0.15 / 1M$1.25 / 1M$1.40 / 1M
Cache Write (5m)—$0.15 / 1M$1.25 / 1M$1.40 / 1M
Cache Write (1h)—$0.15 / 1M$1.25 / 1M$1.40 / 1M
Web Search—$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesNo
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesYesYesYes
Catalogue
ProviderNVIDIAPerceptronMetaZ.AI
Categorychatchatchatchat
Charge typeFreePay As You GoPay As You GoPay As You Go
Released—2026-09-25——
Description
SummaryNVIDIA 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.