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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. Qwen3.5 397B A17BAlibabaRemove
  2. Nemotron 3.5 Super VLNVIDIARemove
qwen3.5-397b-a17b vs nemotron-3.5-super-vl
AttributeQwen3.5 397B A17Bqwen3.5-397b-a17bNemotron 3.5 Super VLnemotron-3.5-super-vl
Pricing
Input$0.55 / 1M$0.10 / 1M
Output$3.50 / 1M$0.40 / 1M
Cache Write (5m)$0.55 / 1M$0.10 / 1M
Cache Write (1h)$0.55 / 1M$0.10 / 1M
Cache Read$0.55 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context256K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderAlibabaNVIDIA
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryQwen3.5-397B-A17B is a native vision-language model built on a hybrid architecture that combines linear attention mechanisms with a sparse Mixture-of-Experts (MoE) design to achieve higher inference efficiency at large scale. It delivers state-of-the-art performance across a broad range of tasks, including language understanding, logical reasoning, code generation, agent-based workflows, image and video understanding, and GUI interaction. With strong coding and agent capabilities, Qwen3.5-397B-A17B demonstrates robust generalization across diverse multimodal and agentic scenarios, making it well suited for advanced applications that require integrated reasoning across text, vision, and interactive environments.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.