SWE-agent Pricing & Plans 2026

Name: SWE-agent
Brand: SWE-agent
Availability: InStock

Complete pricing guide for SWE-agent. Compare all plans, analyze costs, and find the perfect tier for your needs.

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether SWE-agent is worth it →

🆓Free Tier Available

💎1 Paid Plans

⚡No Setup Fees

Choose Your Plan

Open Source

Free

forever

No usage restrictions — unlimited runs

✓Full SWE-agent and mini-swe-agent
✓All GitHub integration features
✓Support for any LLM backend
✓Cybersecurity vulnerability detection
✓Multimodal issue processing
✓MCP tool integration
✓Community support via GitHub

Start Free →

LLM API Costs (External)

Costs depend on chosen LLM provider

per use

Based on LLM provider pricing and issue complexity

✓GPT-4o: approximately $2.50-$10 per 1M tokens
✓Claude Sonnet 4: approximately $3-$15 per 1M tokens
✓Local open-weight models: $0 after hardware setup
✓Typical issue resolution: $0.10-$2.00 per issue

Start Free Trial →

Pricing sourced from SWE-agent · Last verified March 2026

Feature Comparison

Features	Open Source	LLM API Costs (External)
Full SWE-agent and mini-swe-agent	✓	✓
All GitHub integration features	✓	✓
Support for any LLM backend	✓	✓
Cybersecurity vulnerability detection	✓	✓
Multimodal issue processing	✓	✓
MCP tool integration	✓	✓
Community support via GitHub	✓	✓
GPT-4o: approximately $2.50-$10 per 1M tokens	—	✓
Claude Sonnet 4: approximately $3-$15 per 1M tokens	—	✓
Local open-weight models: $0 after hardware setup	—	✓
Typical issue resolution: $0.10-$2.00 per issue	—	✓

Is SWE-agent Worth It?

✅ Why Choose SWE-agent

• Completely free and open-source with no usage restrictions
• State-of-the-art performance on SWE-bench benchmarks
• LLM-agnostic — works with OpenAI, Anthropic, or local models
• Fully autonomous operation without human-in-the-loop requirements
• Backed by peer-reviewed research from Princeton and Stanford
• Simple YAML configuration for easy customization

⚠️ Consider This

• Requires developer expertise for installation and configuration
• LLM API costs can accumulate on complex repositories
• No hosted/managed service — must self-deploy and maintain
• Performance varies significantly based on chosen LLM backend
• Limited IDE integration compared to commercial tools like Cursor or Copilot

What Users Say About SWE-agent

👍 What Users Love

✓Completely free and open-source with no usage restrictions
✓State-of-the-art performance on SWE-bench benchmarks
✓LLM-agnostic — works with OpenAI, Anthropic, or local models
✓Fully autonomous operation without human-in-the-loop requirements
✓Backed by peer-reviewed research from Princeton and Stanford
✓Simple YAML configuration for easy customization
✓Active development with regular feature updates
✓Mini-swe-agent offers ultra-lightweight deployment option
✓Multimodal support for processing visual bug reports
✓MCP integration extends capabilities with external tools

👎 Common Concerns

⚠Requires developer expertise for installation and configuration
⚠LLM API costs can accumulate on complex repositories
⚠No hosted/managed service — must self-deploy and maintain
⚠Performance varies significantly based on chosen LLM backend
⚠Limited IDE integration compared to commercial tools like Cursor or Copilot
⚠Docker dependency adds infrastructure complexity

Pricing FAQ

Is SWE-agent free to use?

Yes, SWE-agent is completely free and open-source. The only costs are LLM API fees from your chosen provider (OpenAI, Anthropic, etc.), or $0 if you use locally-hosted models.

What is mini-swe-agent?

Mini-swe-agent is a radically simplified version of SWE-agent written in approximately 100 lines of Python. It achieves 65% on SWE-bench Verified — matching the full SWE-agent's performance — and is now the team's recommended starting point for most users.

Which LLMs work best with SWE-agent?

Claude Sonnet 4 and GPT-4o deliver the best results. The team's own SWE-agent-LM-32b achieves open-weights state-of-the-art. Local models work but typically produce lower success rates on complex issues.

Can SWE-agent work with private repositories?

Yes, SWE-agent works with any Git repository — public or private. For private repos, configure a GitHub token with appropriate access permissions in the agent configuration.

How does SWE-agent compare to Devin?

SWE-agent is free and open-source while Devin costs $500+/month. SWE-agent focuses specifically on GitHub issue resolution with transparent, auditable operation, while Devin offers a broader but proprietary autonomous developer experience.

Ready to Get Started?

AI builders and operators use SWE-agent to streamline their workflow.

Try SWE-agent Now →

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SWE-agent Pricing & Plans 2026

Complete pricing guide for SWE-agent. Compare all plans, analyze costs, and find the perfect tier for your needs.

🆓Free Tier Available

💎1 Paid Plans

⚡No Setup Fees

Choose Your Plan

Open Source

Free

forever

No usage restrictions — unlimited runs

✓Full SWE-agent and mini-swe-agent
✓All GitHub integration features
✓Support for any LLM backend
✓Cybersecurity vulnerability detection
✓Multimodal issue processing
✓MCP tool integration
✓Community support via GitHub

Start Free →

LLM API Costs (External)

Costs depend on chosen LLM provider

per use

Based on LLM provider pricing and issue complexity

✓GPT-4o: approximately $2.50-$10 per 1M tokens
✓Claude Sonnet 4: approximately $3-$15 per 1M tokens
✓Local open-weight models: $0 after hardware setup
✓Typical issue resolution: $0.10-$2.00 per issue

Start Free Trial →

Pricing sourced from SWE-agent · Last verified March 2026

Feature Comparison

Features	Open Source	LLM API Costs (External)
Full SWE-agent and mini-swe-agent	✓	✓
All GitHub integration features	✓	✓
Support for any LLM backend	✓	✓
Cybersecurity vulnerability detection	✓	✓
Multimodal issue processing	✓	✓
MCP tool integration	✓	✓
Community support via GitHub	✓	✓
GPT-4o: approximately $2.50-$10 per 1M tokens	—	✓
Claude Sonnet 4: approximately $3-$15 per 1M tokens	—	✓
Local open-weight models: $0 after hardware setup	—	✓
Typical issue resolution: $0.10-$2.00 per issue	—	✓

Is SWE-agent Worth It?

✅ Why Choose SWE-agent

• Completely free and open-source with no usage restrictions
• State-of-the-art performance on SWE-bench benchmarks
• LLM-agnostic — works with OpenAI, Anthropic, or local models
• Fully autonomous operation without human-in-the-loop requirements
• Backed by peer-reviewed research from Princeton and Stanford
• Simple YAML configuration for easy customization

⚠️ Consider This

• Requires developer expertise for installation and configuration
• LLM API costs can accumulate on complex repositories
• No hosted/managed service — must self-deploy and maintain
• Performance varies significantly based on chosen LLM backend
• Limited IDE integration compared to commercial tools like Cursor or Copilot

What Users Say About SWE-agent

👍 What Users Love

✓Completely free and open-source with no usage restrictions
✓State-of-the-art performance on SWE-bench benchmarks
✓LLM-agnostic — works with OpenAI, Anthropic, or local models
✓Fully autonomous operation without human-in-the-loop requirements
✓Backed by peer-reviewed research from Princeton and Stanford
✓Simple YAML configuration for easy customization
✓Active development with regular feature updates
✓Mini-swe-agent offers ultra-lightweight deployment option
✓Multimodal support for processing visual bug reports
✓MCP integration extends capabilities with external tools

👎 Common Concerns

⚠Requires developer expertise for installation and configuration
⚠LLM API costs can accumulate on complex repositories
⚠No hosted/managed service — must self-deploy and maintain
⚠Performance varies significantly based on chosen LLM backend
⚠Limited IDE integration compared to commercial tools like Cursor or Copilot
⚠Docker dependency adds infrastructure complexity

Pricing FAQ

Is SWE-agent free to use?

Yes, SWE-agent is completely free and open-source. The only costs are LLM API fees from your chosen provider (OpenAI, Anthropic, etc.), or $0 if you use locally-hosted models.

What is mini-swe-agent?

Which LLMs work best with SWE-agent?

Can SWE-agent work with private repositories?

Yes, SWE-agent works with any Git repository — public or private. For private repos, configure a GitHub token with appropriate access permissions in the agent configuration.