Private AI
Qwen3-30B-A3B-Instruct-2507 is a MoE causal language model featuring 30.5B total parameters and 3.3B active parameters. Running inside a TEE (Trusted Execution Environment), with provider attestation support.
Context Window
262.0K
Max Output
32.8K
Input Price (Auto)
$0.15/1M
Output Price (Auto)
$0.45/1M
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
12.9
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Coding Index
9.0
GPQA Diamond
Graduate-level scientific reasoning
51.7%
Better than 31% of models compared
HLE
Humanity's Last Exam
4.7%
Better than 29% of models compared
IFBench
Instruction-following benchmark
33.5%
Better than 24% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
26.6%
Better than 32% of models compared
AA-LCR
Long context reasoning evaluation
7.3%
Better than 20% of models compared
SciCode
Python programming for scientific computing
18.1%
Better than 18% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
4.5%
AIME 2025
American Invitational Mathematics Examination 2025
52.3%
Better than 49% of models compared
MMLU-Pro
Professional and academic subject knowledge
67.2%
Better than 30% of models compared
Last updated Jun 4, 2026
Artificial AnalysisBetter than 28% of models compared
LiveCodeBench
Contamination-free coding benchmark
37.7%
Better than 44% of models compared
