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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 VL (Free)NVIDIARemove
  2. Mistral Large 3 2512Mistral AIRemove
nemotron-3.5-super-vl:free vs mistral-large-2512
AttributeNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeMistral Large 3 2512mistral-large-2512
Pricing
Input$0 / 1M$0.50 / 1M
Output$0 / 1M$1.50 / 1M
Cache Write$0 / 1M—
Cache Read$0 / 1M$0.50 / 1M
Cache Write (5m)—$0.50 / 1M
Cache Write (1h)—$0.50 / 1M
Web Search—$0 / 1M
Context
Max context1M262.1K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderNVIDIAMistral AI
Categorychatchat
Charge typeFreePay 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.Mistral Large 3 2512 is Mistral's most powerful model so far — a sparse MoE system with 41B active (675B total) parameters, released under the Apache 2.0 license.