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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 VLNVIDIARemove
  2. GPT-4o TranscribeOpenAIRemove
nemotron-3.5-super-vl vs gpt-4o-transcribe
AttributeNemotron 3.5 Super VLnemotron-3.5-super-vlGPT-4o Transcribegpt-4o-transcribe
Pricing
Input$0.10 / 1M$1.25 / 1M
Output$0.40 / 1M— Not priced per output token
Cache Write (5m)$0.10 / 1MNot applicable
Cache Write (1h)$0.10 / 1MNot applicable
Cache Read$0.10 / 1MNot applicable
Web Search$0 / 1M$0 / 1M
Context
Max context1M128K
Max outputN/AN/A
Capabilities
VisionYesNo
Function CallingYesNo
JSON ModeYesYes
StreamingYesNo
Catalogue
ProviderNVIDIAOpenAI
Categorychatvoice
Charge typePay As You GoPay As You Go
Released——
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.GPT-4o Transcribe is OpenAI's high-quality speech-to-text model built on GPT-4o's audio capabilities. It delivers accurate transcription with strong language understanding, making it suitable for a wide range of audio processing tasks. Priced per token (input and output), it offers transparent, fine-grained billing, making it well suited for workflows that require scalable transcription, integration with LLM pipelines, and cost-aware processing.