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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 ThinkingAlibabaRemove
  2. Nemotron 3.5 Super VLNVIDIARemove
qwen3-vl-8b-thinking vs nemotron-3.5-super-vl
AttributeQwen3 VL 8B Thinkingqwen3-vl-8b-thinkingNemotron 3.5 Super VLnemotron-3.5-super-vl
Pricing
Input$0.18 / 1M$0.10 / 1M
Output$2.10 / 1M$0.40 / 1M
Cache Write (5m)$0.18 / 1M$0.10 / 1M
Cache Write (1h)$0.18 / 1M$0.10 / 1M
Cache Read$0.18 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context256K1M
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderAlibabaNVIDIA
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryQwen3-VL-8B-Thinking is the reasoning-focused version of the Qwen3-VL-8B multimodal model, built for advanced visual and textual reasoning across images, documents, and video. It adds deeper vision-language fusion and deliberate reasoning paths, supports very long context (256K–1M tokens), and excels at STEM problem solving, causal analysis, and multi-step video understanding — while retaining strong OCR, multilingual capability, and high-quality text generation.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.