Private AI
Qwen3.5 122B A10B is a large MoE model with 122B total parameters, 10B active parameters per token, strong coding and tool-use behavior, and a 262K token context window. Running inside a TEE (Trusted Execution Environment), with provider attestation support.
Added May 26, 2026
Model weightsContext Window
262.1K
Max Output
262.1K
Input Price (Auto)
$0.46/1M
Output Price (Auto)
$3.68/1M
Cache Read (Auto)
$0.23/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
20.3
Auto routing is available for this model. Explicit provider selection is not available.
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Coding Index
23.5
GPQA Diamond
Graduate-level scientific reasoning
78.6%
Better than 69% of models compared
HLE
Humanity's Last Exam
8.6%
Better than 56% of models compared
IFBench
Instruction-following benchmark
37.8%
Better than 32% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
85.1%
Better than 77% of models compared
AA-LCR
Long context reasoning evaluation
38.0%
Better than 49% of models compared
SciCode
Python programming for scientific computing
27.7%
Better than 36% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
18.2%
Last updated Aug 4, 2026
Artificial AnalysisBetter than 57% of models compared
