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Qwen3.5 122B A10B Thinking

qwen3.5-122b-a10b:thinking
BackTry Model
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Qwen3.5 122B A10B Thinking

qwen3.5-122b-a10b:thinking
BackTry Model

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)

1.7K tokens

68%

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

32.8

Better than 74% of models compared

Coding Index

45.7

Better than 59% of models compared

Agentic Index

21.3

Better than 49% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

85.7%

Better than 83% of models compared

HLE

Humanity's Last Exam

25.2%

Better than 80% of models compared

IFBench

Instruction-following benchmark

75.7%

Better than 94% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

93.6%

Better than 91% of models compared

AA-LCR

Long context reasoning evaluation

70.3%

Better than 80% of models compared

GDPval-AA

Economically valuable tasks

24.4%

CritPt

Research-level physics reasoning

0.6%

Coding

SciCode

Python programming for scientific computing

42.0%

Better than 77% of models compared

Terminal-Bench Hard

Agentic coding and terminal use

31.1%

Better than 74% 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%

Last updated Aug 11, 2026, 12:00 PM

Artificial Analysis

Providers

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