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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. Kimi K3.1 ProMoonShot AIRemove
  2. Nemotron 3.5 Super VL (Free)NVIDIARemove
  3. KAT-Coder-Pro V1KwaipilotRemove
kimi-k3.1-pro vs nemotron-3.5-super-vl:free vs kat-coder-pro
AttributeKimi K3.1 Prokimi-k3.1-proNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeKAT-Coder-Pro V1kat-coder-pro
Pricing
Input$2.00 / 1M$0 / 1M$0.005 / 1M
Output$10.00 / 1M$0 / 1M$0.005 / 1M
Cache Write (5m)$2.00 / 1M—$0.005 / 1M
Cache Write (1h)$2.00 / 1M—$0.005 / 1M
Cache Read$2.00 / 1M$0 / 1M$0.005 / 1M
Web Search$0 / 1M—$0 / 1M
Cache Write—$0 / 1M—
Context
Max context1M1M256K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderMoonShot AINVIDIAKwaipilot
Categorychatchatchat
Charge typePay As You GoFreePay As You Go
Released———
Description
SummaryKimi 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.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.KAT-Coder-Pro V1 is KwaiKAT’s most advanced agentic coding model, built specifically for real-world software engineering. It achieves a 73.4% solve rate on SWE-Bench Verified and is optimized for tool use, multi-turn workflows, instruction following, and generalization through a multi-stage training pipeline that includes SFT, RFT, and large-scale agentic RL.