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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. Nemotron 3 Super (Free)NVIDIARemove
  2. Claude Fable 5.1AnthropicRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
nemotron-3-super-120b-a12b:free vs claude-fable-5.1 vs deepseek-v4.1-flash
AttributeNemotron 3 Super (Free)nemotron-3-super-120b-a12b:freeClaude Fable 5.1claude-fable-5.1DeepSeek V4.1 Flashdeepseek-v4.1-flash
Pricing
Input$0 / 1M$10.00 / 1M$0.30 / 1M
Output$0 / 1M$50.00 / 1M$1.20 / 1M
Cache Write$0 / 1M
Cache Read$0 / 1M$1.00 / 1M$0.30 / 1M
Cache Write (5m)$12.50 / 1M$0.30 / 1M
Cache Write (1h)$20.00 / 1M$0.30 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context262.1K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderNVIDIAAnthropicDeepSeek
Categorychatchatchat
Charge typeFreePay As You GoPay As You Go
Released
Description
SummaryNVIDIA 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.Claude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.