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Qwen3.5 122B A10B

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

qwen/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

Avg output tokens (7d)

900 tokens

65%

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.

Coding Index

43.3

Better than 49% of models compared

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

16.7%

Document reasoning

AA-LCR (unversioned / legacy)

Legacy fallback · Long context reasoning evaluation

61.3%

Better than 55% of models compared

Reasoning

HLE

Humanity's Last Exam

15.9%

Better than 66% 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 71% of models compared

Last updated Sep 8, 2026, 12:00 AM

Artificial Analysis

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