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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. Gemini 2.5 Flash LiteGoogleRemove
  2. Nemotron 3.5 Super VLNVIDIARemove
gemini-2.5-flash-lite vs nemotron-3.5-super-vl
AttributeGemini 2.5 Flash Litegemini-2.5-flash-liteNemotron 3.5 Super VLnemotron-3.5-super-vl
Pricing
Input$0.15 / 1M$0.10 / 1M
Output$0.60 / 1M$0.40 / 1M
Cache Write (5m)$0.15 / 1M$0.10 / 1M
Cache Write (1h)$0.15 / 1M$0.10 / 1M
Cache Read$0.15 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1.0M1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderGoogleNVIDIA
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryGemini 2.5 Flash-Lite is a smaller, low-latency model focused on speed and cost efficiency. It delivers faster generation and better benchmark performance than earlier Flash models. Thinking mode is off by default for maximum speed, but developers can enable it when they want deeper reasoning at a higher cost.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.