Nvidia's Nemotron 3 Ultra 550B A55B model from the Nemotron 3 family. It uses a hybrid Mamba-Transformer MoE architecture. Provider-specific context limits vary, with the longest current route supporting up to 1M context. Thinking enabled.
Added Jun 4, 2026
Model weightsContext Window
1.0M
Max Output
65.5K
Avg output tokens (7d)
2.0K tokens
Input Price (Auto)
$0.50/1M
Output Price (Auto)
$2.50/1M
Cache Read (Auto)
$0.25/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
38.3
Coding Index
49.3
Agentic Index
27.5
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
86.7%
Better than 85% of models compared
HLE
Humanity's Last Exam
28.4%
Better than 83% of models compared
IFBench
Instruction-following benchmark
81.4%
Better than 99% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
83.3%
Better than 73% of models compared
AA-LCR
Long context reasoning evaluation
71.0%
Better than 82% of models compared
GDPval-AA
Economically valuable tasks
33.2%
CritPt
Research-level physics reasoning
3.1%
Coding
SciCode
Python programming for scientific computing
39.9%
Better than 70% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
36.4%
Better than 83% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
22.6%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
29.7%
Last updated Aug 16, 2026
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