Qwen3.5 122B A10B
Qwen3.5 122B A10B is a large open Qwen 3.5 MoE model served through Gerra with tool calling and structured output support.
- Tool Calling
- Structured Output
Added Feb 24, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.26
- Output
- $2.08
- Cache read
- $0.062
Specifications
- Context window
- 131.1K
- Max output
- 32.8K
- Parameters
- 122B / 10B
- Total / active
- Avg output (7d)
- 488 tokens
- Longer than 42% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Coding Index
43.3
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
84.5%
Better than 75% of models compared
GDPval-AA (unversioned / legacy)
Legacy fallback · Economically valuable tasks
9.7%
Document reasoning
AA-LCR (unversioned / legacy)
Legacy fallback · Long context reasoning evaluation
61.3%
Better than 52% of models compared
Reasoning
HLE
Humanity's Last Exam
15.9%
Better than 63% of models compared
IFBench
Instruction-following benchmark
50.8%
Better than 60% of models compared
CritPt
Research-level physics reasoning
0.9%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
29.5%
Better than 71% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
19.1%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
91.6%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
82.7%
Better than 72% of models compared
Last updated Sep 20, 2026, 12:01 AM
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