Qwen3.5 122B A10B (Reasoning)

阿里巴巴China

Qwen3.5 122B A10B is a large-scale Mixture-of-Experts (MoE) model from Alibaba's Qwen series, optimized for complex reasoning tasks. It features a 122 billion parameter architecture with 10 billion active parameters, balancing high performance with computational efficiency. The model supports an extremely long context window and excels in code generation and logical analysis.

CodingReasoningLong context

Input / 1M tokens

$0.40

Output / 1M tokens

$3.20

Output tokens/s

145.63

First-token seconds

1.2s

Supported plans

Benchmark history

Evaluations

Tau Banking

Measured Jul 10, 2026Source

Score

0.14

TAU2

Measured Jul 10, 2026Source

Score

0.94

Terminalbench V2 1

Measured Jul 10, 2026Source

Score

0.48

Terminalbench Hard

Measured Jul 10, 2026Source

Score

0.31

Lcr

Measured Jul 10, 2026Source

Score

0.67

Ifbench

Measured Jul 10, 2026Source

Score

0.76

Scicode

Measured Jul 10, 2026Source

Score

0.42

Hle

Measured Jul 10, 2026Source

Score

0.23

Gpqa

Measured Jul 10, 2026Source

Score

0.86

Artificial Analysis Coding Index

Measured Jul 10, 2026Source

Score

45.7

Artificial Analysis Intelligence Index

Measured Jul 10, 2026Source

Score

32.3

Plan availability

Products and plans that support this model

Apertis Coding Plan

Apertis Coding Plan is a subscription-based AI coding service providing unified access to 30+ AI models (GPT-5.4, Claude Opus 4.6, Gemini 3.1 Pro, and more) through a single API key. Designed for developers using coding agents like Claude Code, Cursor, Cline, and OpenCode, it offers predictable monthly pricing, free prompt caching, auto-failover, and quota-based billing across OpenAI, Anthropic, Google, and other providers.

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