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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. DeepSeek V4 Pro 0813DeepSeekRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Nemotron 3.5 Super VLNVIDIARemove
deepseek-v4-pro-0813 vs perceptron-mk1.5 vs nemotron-3.5-super-vl
AttributeDeepSeek V4 Pro 0813deepseek-v4-pro-0813Perceptron Mk1.5perceptron-mk1.5Nemotron 3.5 Super VLnemotron-3.5-super-vl
Pricing
Input$0.435 / 1M$0.15 / 1M$0.10 / 1M
Output$0.87 / 1M$1.50 / 1M$0.40 / 1M
Cache Write (5m)$0.435 / 1M$0.15 / 1M$0.10 / 1M
Cache Write (1h)$0.435 / 1M$0.15 / 1M$0.10 / 1M
Cache Read$0.435 / 1M$0.15 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderDeepSeekPerceptronNVIDIA
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
Description
SummaryDeepSeek V4 Pro 0813 is DeepSeek's large-scale Mixture-of-Experts (MoE) model and the general availability (GA) release of DeepSeek V4 Pro. It is designed for high-capability workloads requiring advanced reasoning, coding, and agentic task execution. As the production-ready V4 Pro release, it is well suited for complex software engineering, long-horizon agent workflows, and demanding reasoning tasks where reliability and model capability are critical.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.