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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 Super (Free)NVIDIARemove
  3. Perceptron Mk1.5PerceptronRemove
claude-sonnet-5.5 vs nemotron-3-super-120b-a12b:free vs perceptron-mk1.5
AttributeClaude Sonnet 5.5claude-sonnet-5.5Nemotron 3 Super (Free)nemotron-3-super-120b-a12b:freePerceptron Mk1.5perceptron-mk1.5
Pricing
Input$2.00 / 1M$0 / 1M$0.15 / 1M
Output$10.00 / 1M$0 / 1M$1.50 / 1M
Cache Write (5m)$2.50 / 1M—$0.15 / 1M
Cache Write (1h)$4.00 / 1M—$0.15 / 1M
Cache Read$0.20 / 1M$0 / 1M$0.15 / 1M
Web Search$0 / 1M—$0 / 1M
Cache Write—$0 / 1M—
Context
Max context1M262.1K36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderAnthropicNVIDIAPerceptron
Categorychatchatchat
Charge typePay As You GoFreePay As You Go
Released——2026-09-25
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 Super is a 120B-parameter open hybrid Mixture-of-Experts model designed for complex multi-agent and long-horizon reasoning workflows. It activates only 12B parameters per token, enabling high compute efficiency while maintaining strong accuracy on advanced tasks. Built on a hybrid Mamba–Transformer MoE architecture with multi-token prediction (MTP), the model delivers significantly higher token generation throughput than leading open models. It supports a 1M-token context window for long-context reasoning, cross-document analysis, and multi-step task planning. Trained with multi-environment reinforcement learning across diverse benchmarks—including AIME 2025, TerminalBench, and SWE-Bench Verified—Nemotron 3 Super achieves strong performance across reasoning and coding tasks. Released fully open with weights, datasets, and training recipes, it supports flexible customization and secure deployment from local workstations to cloud environments.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.