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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. Qwen3.7 FlashAlibabaRemove
  2. Nemotron 3.5 Super VLNVIDIARemove
qwen3.7-flash vs nemotron-3.5-super-vl
AttributeQwen3.7 Flashqwen3.7-flashNemotron 3.5 Super VLnemotron-3.5-super-vl
Pricing
Input$0.03 / 1M$0.10 / 1M
Output$0.13 / 1M$0.40 / 1M
Cache Write (5m)$0.03 / 1M$0.10 / 1M
Cache Write (1h)$0.03 / 1M$0.10 / 1M
Cache Read$0.03 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderAlibabaNVIDIA
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryQwen3.7 Flash is Alibaba's vision-language reasoning model, designed for multimodal agents, visual coding, search, and computer interaction. It combines fast inference with strong visual understanding, including object recognition, spatial reasoning, and real-world scene perception. Optimized for interactive and agentic workflows, Qwen3.7 Flash is well suited for GUI understanding, visual question answering, multimodal search, and computer-use applications that require responsive reasoning across text and images.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.