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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. Qwen3 VL 8B InstructAlibabaRemove
  2. Nemotron 3.5 Super VL (Free)NVIDIARemove
qwen3-vl-8b-instruct vs nemotron-3.5-super-vl:free
AttributeQwen3 VL 8B Instructqwen3-vl-8b-instructNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:free
Pricing
Input$0.09 / 1M$0 / 1M
Output$0.345 / 1M$0 / 1M
Cache Write (5m)$0.09 / 1M—
Cache Write (1h)$0.09 / 1M—
Cache Read$0.09 / 1M$0 / 1M
Web Search$0 / 1M—
Cache Write—$0 / 1M
Context
Max context262.1K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderAlibabaNVIDIA
Categorychatchat
Charge typePay As You GoFree
Released——
Description
SummaryQwen3-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.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.