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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

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

4 is the maximum. Remove one to add another.

mai-ds-r1:free vs nemotron-3.5-super-vl vs perceptron-mk1.5 vs hy4-preview
Attributemai-ds-r1:freeNot in the catalogueNemotron 3.5 Super VLnemotron-3.5-super-vlPerceptron Mk1.5perceptron-mk1.5Hy4 previewhy4-preview
Pricing
Input—$0.10 / 1M$0.15 / 1M$0.834 / 1M
Output—$0.40 / 1M$1.50 / 1M$2.50 / 1M
Cache Write (5m)—$0.10 / 1M$0.15 / 1M$0.834 / 1M
Cache Write (1h)—$0.10 / 1M$0.15 / 1M$0.834 / 1M
Cache Read—$0.10 / 1M$0.15 / 1M$0.834 / 1M
Web Search—$0 / 1M$0 / 1M$0 / 1M
Context
Max context—1M36.9K1M
Max output—N/AN/AN/A
Capabilities
Vision—YesNoYes
Function Calling—YesNoYes
JSON Mode—YesNoYes
Streaming—YesYesYes
Catalogue
Provider—NVIDIAPerceptronTencent
Category—chatchatchat
Charge type—Pay As You GoPay As You GoPay 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.Perceptron 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.