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. mai-ds-r1:freeNot in the catalogueRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Nemotron 3.5 Super VL (Free)NVIDIARemove
mai-ds-r1:free vs gemini-3.5-transcribe vs nemotron-3.5-super-vl:free
Attributemai-ds-r1:freeNot in the catalogueGemini 3.5 Transcribegemini-3.5-transcribeNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:free
Pricing
Input—— Not priced per input token$0 / 1M
Output—— Not priced per output token$0 / 1M
Cache Write (5m)—Not applicable—
Cache Write (1h)—Not applicable—
Cache Read—Not applicable$0 / 1M
Web Search—$0 / 1M—
Cache Write——$0 / 1M
Context
Max context—98.3K1M
Max output—N/AN/A
Capabilities
Vision—YesYes
Function Calling—YesYes
JSON Mode—NoYes
Streaming—NoYes
Catalogue
Provider—GoogleNVIDIA
Category—voicechat
Charge type—Pay As You GoFree
Released—2026-09-25—
Description
Summary—Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.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.