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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. GPT Image 2OpenAIRemove
kimi-k3.1-pro vs nemotron-3.5-super-vl:free vs gpt-image-2
AttributeKimi K3.1 Prokimi-k3.1-proNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeGPT Image 2gpt-image-2
Pricing
Input$2.00 / 1M$0 / 1M—
Output$10.00 / 1M$0 / 1M—
Cache Write (5m)$2.00 / 1M—Not applicable
Cache Write (1h)$2.00 / 1M—Not applicable
Cache Read$2.00 / 1M$0 / 1MNot applicable
Web Search$0 / 1M——
Cache Write—$0 / 1M—
Request——$0.04 / request
Billing——Pay Per Request
Context
Max context1M1M272K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderMoonShot AINVIDIAOpenAI
Categorychatchatimage
Charge typePay As You GoFreePay Per Request
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.GPT Image 2 combines OpenAI's GPT-5.4 with advanced image generation capabilities from GPT Image 2, enabling fully integrated multimodal workflows. It allows users to seamlessly transition between reasoning, coding, and visual generation within a single interaction, making it well suited for creative, development, and agent-driven applications that require both intelligence and visual output.