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Qwen3.5 122B A10B Thinking

qwen/qwen3.5-122b-a10b:thinking
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Qwen3.5 122B A10B Thinking

qwen/qwen3.5-122b-a10b:thinking

Qwen3.5 122B A10B with extended reasoning enabled, served through Gerra with tool calling and structured output support.

Added Feb 24, 2026

Model weights

Context Window

131.1K

Max Output

32.8K

Avg output tokens (7d)

1.8K tokens

86%

Input Price (Auto)

$0.44/1M

Output Price (Auto)

$3.50/1M

Cache Read (Auto)

$0.10/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

16.2

Better than 61% of models compared

Coding Index

45.7

Better than 54% of models compared

Agentic Index

9.6

Better than 42% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

93.6%

Better than 91% of models compared

GDPval-AA (unversioned / legacy)

Legacy fallback · Economically valuable tasks

21.3%

Document reasoning

AA-LCR (unversioned / legacy)

Legacy fallback · Long context reasoning evaluation

76.3%

Better than 80% of models compared

Reasoning

HLE

Humanity's Last Exam

25.2%

Better than 77% of models compared

IFBench

Instruction-following benchmark

75.7%

Better than 94% of models compared

CritPt

Research-level physics reasoning

0.6%

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

31.1%

Better than 74% of models compared

SciCode

Python programming for scientific computing

39.7%

Better than 27% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

24.4%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

87.1%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

85.7%

Better than 79% of models compared

Last updated Sep 8, 2026, 12:00 AM

Artificial Analysis

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