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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 3.1 Flash Lite PreviewGoogleRemove
  2. Nemotron 3.5 Super VL (Free)NVIDIARemove
gemini-3.1-flash-lite-preview vs nemotron-3.5-super-vl:free
AttributeGemini 3.1 Flash Lite Previewgemini-3.1-flash-lite-previewNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:free
Pricing
Input$0.25 / 1M$0 / 1M
Output$1.50 / 1M$0 / 1M
Cache Write (5m)$0.25 / 1M—
Cache Write (1h)$0.25 / 1M—
Cache Read$0.25 / 1M$0 / 1M
Web Search$0 / 1M—
Cache Write—$0 / 1M
Context
Max context1.0M1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderGoogleNVIDIA
Categorychatchat
Charge typePay As You GoFree
Released——
Description
SummaryGemini 3.1 Flash Lite Preview is Google's high-efficiency model designed for high-volume and cost-sensitive workloads. It improves overall quality compared to Gemini 2.5 Flash Lite while approaching the performance of Gemini 2.5 Flash across key capabilities. The model delivers enhancements in audio input/ASR, RAG snippet ranking, translation, data extraction, and code completion, and supports configurable thinking levels (minimal, low, medium, high) for flexible cost–performance optimization. With pricing at roughly half the cost of Gemini 3 Flash, it is well suited for large-scale production deployments.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.