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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. Qwen3 VL 8B InstructAlibabaRemove
nemotron-3.5-super-vl:free vs qwen3-vl-8b-instruct
AttributeNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeQwen3 VL 8B Instructqwen3-vl-8b-instruct
Pricing
Input$0 / 1M$0.09 / 1M
Output$0 / 1M$0.345 / 1M
Cache Write$0 / 1M—
Cache Read$0 / 1M$0.09 / 1M
Cache Write (5m)—$0.09 / 1M
Cache Write (1h)—$0.09 / 1M
Web Search—$0 / 1M
Context
Max context1M262.1K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderNVIDIAAlibaba
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.Qwen3-VL-8B-Instruct is a multimodal model for precise reasoning across text, images, and video. With improved fusion architectures (Interleaved-MRoPE, DeepStack, and text-timestamp alignment), it supports long-context understanding up to 1M tokens and handles tasks like document parsing, VQA, spatial reasoning, and GUI control. It delivers LLM-level text comprehension, stronger OCR across 32 languages, and robust performance across diverse visual conditions.