NVIDIA's open-weight 30B mixture-of-experts model with 3B active parameters for fast agentic workflows, coding, and tool use. Running inside a TEE (Trusted Execution Environment), with provider attestation support.
Added Sep 11, 2026
Model weightsContext Window
262.1K
Max Output
65.5K
Input Price (Auto)
$0.080/1M
Output Price (Auto)
$0.20/1M
Cache Read (Auto)
$0.040/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
13.6
Coding Index
26.8
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
0.8%
Better than 15% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
509 Elo
Better than 28% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
767 Elo
Better than 36% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
3.0%
Better than 24% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
60.3%
Better than 55% of models compared
Reasoning
HLE
Humanity's Last Exam
10.6%
Better than 55% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
0.5%
Better than 40% of models compared
SciCode
Python programming for scientific computing
32.1%
Better than 11% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
74.3%
Better than 55% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
60.3%
Better than 55% of models compared
Last updated Sep 11, 2026
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