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Qwen: Qwen3.5-122B-A10B Coding Benchmark

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...

Context262,144tokens
Max Output81,920tokens
Inputmodalities
Price$0.26/1M input
Ranks from Kilo Code LeaderboardPricing via OpenRouter

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Coding Performance

Coding benchmarks and performance metrics for development tasks

Real-World Usage

Real-world usage statistics from the Kilo Code community

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Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$0.26
per 1M tokens
Output Tokens
$2.08
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0312

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Specifications
Model ID
qwen/qwen3.5-122b-a10b
Created
February 25, 2026
Tokenizer
Qwen3
Input Modalities
TextImageVideo
Context Window
262,144 tokens
Max Completion Tokens
81,920 tokens
Input Price
$0.26 per 1M tokens
Output Price
$2.08 per 1M tokens
Content Moderation
Disabled

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