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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. BGE Reranker V2 M3RerankerRemove
nemotron-3.5-super-vl vs BAAI/bge-reranker-v2-m3
AttributeNemotron 3.5 Super VLnemotron-3.5-super-vlBGE Reranker V2 M3BAAI/bge-reranker-v2-m3
Pricing
Input$0.10 / 1M$0.14 / 1M
Output$0.40 / 1M$0.14 / 1M
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 context1M8.2K
Max outputN/AN/A
Capabilities
VisionYesNo
Function CallingYesNo
JSON ModeYesNo
StreamingYesNo
Catalogue
ProviderNVIDIAReranker
Categorychatchat
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.—