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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. Nemotron 3.5 Super VL (Free)NVIDIARemove
  2. mai-ds-r1:freeNot in the catalogueRemove
  3. Gemini 3.5 TranscribeGoogleRemove
nemotron-3.5-super-vl:free vs mai-ds-r1:free vs gemini-3.5-transcribe
AttributeNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freemai-ds-r1:freeNot in the catalogueGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0 / 1M—— Not priced per input token
Output$0 / 1M—— Not priced per output token
Cache Write$0 / 1M——
Cache Read$0 / 1M—Not applicable
Cache Write (5m)——Not applicable
Cache Write (1h)——Not applicable
Web Search——$0 / 1M
Context
Max context1M—98.3K
Max outputN/A—N/A
Capabilities
VisionYes—Yes
Function CallingYes—Yes
JSON ModeYes—No
StreamingYes—No
Catalogue
ProviderNVIDIA—Google
Categorychat—voice
Charge typeFree—Pay 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.—Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.