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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 TranscribeOpenAIRemove
kimi-k3.1-pro vs nemotron-3.5-super-vl:free vs gpt-transcribe
AttributeKimi K3.1 Prokimi-k3.1-proNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeGPT Transcribegpt-transcribe
Pricing
Input$2.00 / 1M$0 / 1M— Not priced per input token
Output$10.00 / 1M$0 / 1M— Not priced per output token
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—$0 / 1M
Cache Write—$0 / 1M—
Context
Max context1M1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderMoonShot AINVIDIAOpenAI
Categorychatchatvoice
Charge typePay As You GoFreePay As You Go
Released——2026-08-05
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.OpenAI GPT Transcribe speech-to-text. Billed per second of audio.