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Qwen3.5 122B A10B

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

qwen3.5-122b-a10b
BackTry Model

Qwen3.5 122B A10B is a large open Qwen 3.5 MoE model served through Gerra with tool calling and structured output support.

Added Feb 24, 2026

Model weights

Context Window

131.1K

Max Output

32.8K

Input Price (Auto)

$0.46/1M

Output Price (Auto)

$3.67/1M

Cache Read (Auto)

$0.11/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

28.2

Better than 73% of models compared

Coding Index

43.3

Better than 60% of models compared

Agentic Index

16.2

Better than 47% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

82.7%

Better than 81% of models compared

HLE

Humanity's Last Exam

15.9%

Better than 79% of models compared

IFBench

Instruction-following benchmark

50.8%

Better than 62% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

84.5%

Better than 76% of models compared

AA-LCR

Long context reasoning evaluation

61.7%

Better than 78% of models compared

GDPval-AA

Economically valuable tasks

19.5%

CritPt

Research-level physics reasoning

0.9%

Coding

SciCode

Python programming for scientific computing

35.6%

Better than 59% of models compared

Terminal-Bench Hard

Agentic coding and terminal use

29.5%

Better than 73% 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%

Last updated Aug 7, 2026, 12:00 PM

Artificial Analysis

Providers

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