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. Kimi K3.1 ProMoonShot AIRemove
  2. Nemotron 3.5 Super VL (Free)NVIDIARemove
  3. Hy4 previewTencentRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

kimi-k3.1-pro vs nemotron-3.5-super-vl:free vs hy4-preview vs perceptron-mk1.5
AttributeKimi K3.1 Prokimi-k3.1-proNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeHy4 previewhy4-previewPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$2.00 / 1M$0 / 1M$0.834 / 1M$0.15 / 1M
Output$10.00 / 1M$0 / 1M$2.50 / 1M$1.50 / 1M
Cache Write (5m)$2.00 / 1M—$0.834 / 1M$0.15 / 1M
Cache Write (1h)$2.00 / 1M—$0.834 / 1M$0.15 / 1M
Cache Read$2.00 / 1M$0 / 1M$0.834 / 1M$0.15 / 1M
Web Search$0 / 1M—$0 / 1M$0 / 1M
Cache Write—$0 / 1M——
Context
Max context1M1M1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesYes
Catalogue
ProviderMoonShot AINVIDIATencentPerceptron
Categorychatchatchatchat
Charge typePay As You GoFreePay As You GoPay As You Go
Released———2026-09-25
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.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.