Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy
17 providers
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy
Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding
Sparse mixture-of-experts reasoning model with 23B active parameters for coding and agentic workflows
Dense 27B vision-language model for coding, agent tasks, and image and video understanding
Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Nemotron 3 Ultra 550B A55Bnvidia/nemotron-3-ultra-550b-a55b | 81.7 | 1M | $0.1 | $0.1 | 2026-06-04 | |||
| Qwen3.8 Flash Nextalibaba/qwen3.8-flash-next | 81.3 | 262.144K | $0.1 | $0.2 | 2026-08-27 | |||
| Beam 1.0 501B A23Breflection/beam-1.0-501b-a23b | 79.6 | 1.04858M | $0.24 | $0.98 | 2026-10-05 | |||
| Qwen3.8 27Balibaba/qwen3.8-27b | 79.5 | 262.144K | $0.04 | $1.35 | 2026-08-14 | |||
| Nemotron 3.5 Lightning 30B A3Bnvidia/nemotron-3.5-lightning | 71.9 | 262.144K | $0.025 | $0.12 | 2026-08-11 |