Skip to content

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. Gemini 3.5 TranscribeGoogleRemove
  3. mai-ds-r1:freeNot in the catalogueRemove
nemotron-3.5-super-vl:free vs gemini-3.5-transcribe vs mai-ds-r1:free
AttributeNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeGemini 3.5 Transcribegemini-3.5-transcribemai-ds-r1:freeNot in the catalogue
Pricing
Input$0 / 1M— Not priced per input token—
Output$0 / 1M— Not priced per output token—
Cache Write$0 / 1M——
Cache Read$0 / 1MNot applicable—
Cache Write (5m)—Not applicable—
Cache Write (1h)—Not applicable—
Web Search—$0 / 1M—
Context
Max context1M98.3K—
Max outputN/AN/A—
Capabilities
VisionYesYes—
Function CallingYesYes—
JSON ModeYesNo—
StreamingYesNo—
Catalogue
ProviderNVIDIAGoogle—
Categorychatvoice—
Charge typeFreePay 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.—