SWE-bench
SWE-bench: A focused open-source harness for evaluating coding agents against real GitHub issues. Ranked #25 of 29 in LLM Evaluation Tools by our editors (6.8/10); pricing: Free plan; best for evaluating coding agents on real GitHub issues.
At a glance
- Editor score6.8 / 10
- PricingFree plan
- Best forEvaluating coding agents on real GitHub issues
- Free planYes
- Paid fromFree
- Deployment optionsBoth
- Founded2023
- Facts checked20 Sep 2026
Where it wins
- Evaluates patches against real-world GitHub software issues
- Docker-based harness supports reproducible local evaluation
- Multiple datasets, CLI reporting, and leaderboard tracking
Where it doesn't
- Focused on software-engineering tasks rather than general model evaluation
- Requires Docker-based evaluation workflows
- Cloud evaluation uses related CLI and documented cloud workflows
Our verdict on SWE-bench
SWE-bench is an open-source benchmark and evaluation harness for language models and software-engineering agents. It evaluates how a system responds to a real GitHub issue by providing a codebase and issue, then assessing the generated patch intended to resolve it. The project is aimed at researchers, engineering teams, and developers comparing coding agents on practical software tasks rather than broad language-model capabilities. It supports web, macOS, Linux, and API access, with local and cloud-based evaluation options.
Its strongest area is the depth of its coding benchmark workflow. SWE-bench includes multiple datasets and variants: SWE-bench, Lite, Verified, Multimodal, and Multilingual. Docker provides a reproducible evaluation harness, while command-line tooling supports evaluation and reporting. Patch prediction and grading workflows keep the assessment centered on whether an agent's proposed code change addresses the issue. Inference support covers both local models and API models, giving teams flexibility in how they run evaluations.
SWE-bench also fits teams that want an open benchmark connected to a wider evaluation workflow. Integrations include Docker, Hugging Face, and Modal, while leaderboard submission and result tracking support comparisons across published results. Cloud-based evaluation is available through SWE-bench CLI and related documented cloud workflows. The trade-off is focus: this is primarily a specialized coding benchmark and toolkit, not a conventional hosted SaaS product or a broad evaluation-control platform. Choose SWE-bench for reproducible, issue-based coding-agent evaluation; choose a broader tool when you need general-purpose evaluation controls beyond software-engineering tasks.
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SWE-bench pricing
SWE-bench fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment options | Both |
| Custom metrics | Not verified |
| LLM-as-a-judge | Not verified |
| Safety evaluations | Not verified |
| Human review workflows | Not verified |
| Prompt versioning | Not verified |
| CI/CD integration | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Web, macOS, Linux |
| Support | Email, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: Docker, Hugging Face, Modal |
| Pricing | Free plan |
| Website | swebench.com |
| Facts checked | 20 Sep 2026 |
SWE-bench integrations
SWE-bench lists 3 integrations on its own site.
- Docker
- Hugging Face
- Modal
Alternatives to SWE-bench
- DeepEvalA broad open-source toolkit for evaluating LLM apps, agents, RAG pipelines, and chatbots.9.4
- PromptfooA broad evaluation toolkit for teams that need testing, security scans, and CI/CD gates.9.3
- GalileoA mature evaluation platform spanning offline testing, production tracing, and runtime controls.9.1
See all SWE-bench alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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