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ByteDance Launches Multi-SWE-bench, Setting a New Standard for Automated Multi-Language Code Repair

Bug fixing is a persistent challenge in software development. ByteDance's Doubao large model team has exciting news: they've launched Multi-SWE-bench, the first multi-lingual software engineering (SWE) dataset. This new dataset aims to evaluate and improve the ability of large models to automatically fix code errors. Multi-SWE-bench significantly expands the scope compared to previous single-language datasets. It covers not only Python, but also...

10.3k 01-15
ByteDance Launches Multi-SWE-bench, Setting a New Standard for Automated Multi-Language Code Repair

Models

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Grok Code Fast 1

Xai

Grok Code Fast 1

$1.4

Input tokens/M

$10.5

Output tokens/M

256

Context Length

Claude Opus 4.1

Anthropic

Claude Opus 4.1

$105

Input tokens/M

$525

Output tokens/M

200

Context Length

Gemini 2.0 Flash Thinking

Google

Gemini 2.0 Flash Thinking

-

Input tokens/M

-

Output tokens/M

-

Context Length

Qwen_v2.5_1.5b_base

Alibaba

Qwen_v2.5_1.5b_base

$2

Input tokens/M

-

Output tokens/M

32

Context Length

o1-pro

Openai

o1-pro

-

Input tokens/M

-

Output tokens/M

-

Context Length

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