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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. Claude Sonnet 5.5AnthropicRemove
  2. Nemotron 3.5 Super VLNVIDIARemove
  3. DeepSeek V4 Pro 0813DeepSeekRemove
claude-sonnet-5.5 vs nemotron-3.5-super-vl vs deepseek-v4-pro-0813
AttributeClaude Sonnet 5.5claude-sonnet-5.5Nemotron 3.5 Super VLnemotron-3.5-super-vlDeepSeek V4 Pro 0813deepseek-v4-pro-0813
Pricing
Input$2.00 / 1M$0.10 / 1M$0.435 / 1M
Output$10.00 / 1M$0.40 / 1M$0.87 / 1M
Cache Write (5m)$2.50 / 1M$0.10 / 1M$0.435 / 1M
Cache Write (1h)$4.00 / 1M$0.10 / 1M$0.435 / 1M
Cache Read$0.10 / 1M$0.10 / 1M$0.435 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderAnthropicNVIDIADeepSeek
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryClaude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.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.DeepSeek 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.