Who is SWE-bench for?

SWE-bench is designed for developers and researchers who need to evaluate and compare the performance of language models in software engineering contexts, including multilingual and multimodal applications.

What can I do with SWE-bench?

With SWE-bench, you can evaluate language models using a human-filtered subset of tasks, assess performance across multiple programming languages, conduct preliminary testing with a curated task set, and analyze models' capabilities in processing both text and visual information.

How much does SWE-bench cost?

SWE-bench publishes a custom / contact-sales pricing model — get a quote on their site.

How is SWE-bench different from alternatives?

SWE-bench differentiates itself by providing a specialized evaluation platform tailored for software engineering tasks, with features that support multilingual and multimodal assessments.

Does SWE-bench have a free trial?

Check SWE-bench's site for current trial availability.

SWE-bench

Official Leaderboards

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Data updated Jul 2, 2026 · Traffic data: SimilarWeb (estimated)

About SWE-bench

SWE-bench provides a comprehensive evaluation platform for language models in software engineering tasks.

Quick facts about SWE-bench

SWE-bench is an AI tool tracked by Relve in the AI SEO Tools category. It uses a Paid pricing model and runs on the web at swebench.com.

The Relve catalog tracks 400+ live tools in AI Operations Tools. SWE-bench is part of the editorial tracking surface, with a Domain Rating of 42 on Ahrefs' authority scale.

Closest alternatives: Activepieces, Adaptor Die, Adept, Adereso, AG11 Lab. Compare SWE-bench head-to-head with any of these on the /compare surface — same feature axes, pricing tiers, and traffic side-by-side.

Best for: teams looking for ai seo tools-class capabilities with a paid entry point. The Relve editorial team refreshes traffic, ranking, and feature data for SWE-bench on a rolling 24-hour cycle (last updated Jul 2, 2026), so the numbers above reflect the most recent snapshot of where the tool sits in the market. Traffic figures are SimilarWeb estimates.

Key Features

Leaderboards

SWE-bench Verified

SWE-bench Verified is a human-filtered subset of 500 instances designed to evaluate language models using the mini-SWE-agent. This feature allows users to compare the performance of various models on a standardized set of tasks, providing insights into their capabilities and effectiveness.

SWE-bench Multilingual

SWE-bench Multilingual features 300 tasks across 9 programming languages, enabling users to assess the performance of language models in a diverse linguistic context. This capability is essential for evaluating models that are intended for global applications.

SWE-bench Lite

SWE-bench Lite is a curated subset of tasks designed for less costly evaluations, making it easier for users to assess model performance without extensive resource requirements. This feature is particularly useful for preliminary testing and model selection.

SWE-bench Multimodal

SWE-bench Multimodal includes software issues described with images, allowing for a more comprehensive evaluation of models that can process both text and visual information. This feature enhances the assessment of multimodal capabilities in language models.

Model Evaluation

mini-SWE-agent

The mini-SWE-agent is a lightweight evaluation tool that scores models based on their performance on SWE-bench tasks. It provides users with a straightforward way to benchmark various language models against a consistent set of criteria.

Compare results

The Compare results feature allows users to select multiple models and analyze their performance metrics side by side. This functionality is crucial for making informed decisions about which models to deploy based on their effectiveness in resolving tasks.