Skip to content

Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Qwen3.6 Max PreviewAlibabaRemove
  2. Nemotron 3.5 Super VL (Free)NVIDIARemove
  3. Kimi K3.1 ProMoonShot AIRemove
qwen3.6-max-preview vs nemotron-3.5-super-vl:free vs kimi-k3.1-pro
AttributeQwen3.6 Max Previewqwen3.6-max-previewNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeKimi K3.1 Prokimi-k3.1-pro
Pricing
Input$1.30 / 1M$0 / 1M$2.00 / 1M
Output$7.80 / 1M$0 / 1M$10.00 / 1M
Cache Write (5m)$1.30 / 1M—$2.00 / 1M
Cache Write (1h)$1.30 / 1M—$2.00 / 1M
Cache Read$1.30 / 1M$0 / 1M$2.00 / 1M
Web Search$0 / 1M—$0 / 1M
Cache Write—$0 / 1M—
Context
Max context262.1K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderAlibabaNVIDIAMoonShot AI
Categorychatchatchat
Charge typePay As You GoFreePay As You Go
Released———
Description
SummaryQwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse Mixture-of-Experts (MoE) architecture with approximately 1 trillion parameters. It is optimized for agentic coding, tool use, and long-context reasoning, supporting a 262K token context window. The model includes an integrated thinking mode that preserves reasoning across multi-turn interactions, along with support for structured outputs and function calling. Available exclusively via Alibaba Cloud Model Studio and Qwen Studio APIs, it is designed for high-performance, production-grade agent workflows.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.Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, building on Kimi K3 with enhanced post-training for advanced reasoning and autonomous task execution. It features a 1M-token context window and native image and video understanding, enabling complex, long-context multimodal workflows. Optimized for long-horizon coding, 3D creation, financial research, and end-to-end agentic knowledge work, Kimi K3.1 Pro is well suited for autonomous software engineering, multimodal analysis, and complex professional workflows that require sustained reasoning and reliable execution.