Top Frontier Models on NVIDIA Free API (April 2026)

,
1

image
image1920×1187 153 KB

image
image1920×1185 137 KB

Model Name [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] Developer Key Strengths Best Use Case
kimi-k2.5 Moonshot AI 1T parameter MoE; native multimodality; 256K context. Visual specifications, web design, and agentic tasks.
minimax-m2.7 MiniMax Self-evolving AI; 200K context window; deep system understanding. Complex multi-agent engineering and coding workflows.
glm-5.1 Z.AI Long-horizon task capability (up to 8-hour sustained execution). Autonomous engineering, task optimization, and complex planning.
nemotron-3-super NVIDIA 120B parameter Hybrid Mamba-Transformer; 1M token context. Long-term memory and high-throughput agentic applications.
gemma-4-31b-it Google Highly efficient 31B parameter instruction-tuned model. Lightweight, general-purpose reasoning and assistance.

Important Notes on Access

  • NVIDIA NIM API: You can access these models by grabbing a free API key from Try NVIDIA NIM APIs.
  • Integration: These models are widely used in agentic frameworks like OpenClaw and OpenCode because they offer frontier-level performance (often rivaling Claude Opus or GPT-5 series) at no cost for inference.
  • Lifecycle: Note that some specific versions (like Kimi-k2.5) may have deprecation notices on the NVIDIA portal as newer versions like Kimi-k2.6 or GLM-5.2 are rolled out. [1, 2, 4, 20, 21]

Would you like a specific API code snippet to start using Kimi or MiniMax in your own project?

Medical Disclaimer: This information is for general informational purposes only and does not constitute medical advice or a professional diagnosis. Always seek the advice of a physician or other qualified health provider with any questions you may have regarding a medical condition.