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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. Perceptron Mk1.5PerceptronRemove
  2. Hy4 previewTencentRemove
  3. mai-ds-r1:freeNot in the catalogueRemove
  4. Nemotron 3.5 Super VLNVIDIARemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs hy4-preview vs mai-ds-r1:free vs nemotron-3.5-super-vl
AttributePerceptron Mk1.5perceptron-mk1.5Hy4 previewhy4-previewmai-ds-r1:freeNot in the catalogueNemotron 3.5 Super VLnemotron-3.5-super-vl
Pricing
Input$0.15 / 1M$0.834 / 1M—$0.10 / 1M
Output$1.50 / 1M$2.50 / 1M—$0.40 / 1M
Cache Write (5m)$0.15 / 1M$0.834 / 1M—$0.10 / 1M
Cache Write (1h)$0.15 / 1M$0.834 / 1M—$0.10 / 1M
Cache Read$0.15 / 1M$0.834 / 1M—$0.10 / 1M
Web Search$0 / 1M$0 / 1M—$0 / 1M
Context
Max context36.9K1M—1M
Max outputN/AN/A—N/A
Capabilities
VisionNoYes—Yes
Function CallingNoYes—Yes
JSON ModeNoYes—Yes
StreamingYesYes—Yes
Catalogue
ProviderPerceptronTencent—NVIDIA
Categorychatchat—chat
Charge typePay As You GoPay As You Go—Pay As You Go
Released2026-09-25———
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.—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.