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All open source models

Underwriting

The best open source models for merchant underwriting

For merchant underwriting, our top pick is GLM-5.3 from Z.ai. The strongest open-weight model for long agentic runs that chain KYB, sanctions, and internal data. Kimi K3 is a close second, and DeepSeek V4 Pro rounds out the list.

Underwriting agents pull KYB, sanctions, and credit data, review the merchant's website, and draft a decision memo for a human underwriter. Ongoing re-reviews repeat this across the whole portfolio, so long investigations with many tools are the norm.

Updated

What matters for merchant underwriting

  • Long, multi-tool investigations
  • Reads websites and documents
  • Clear decision memos with cited evidence

Our picks

1Z.ai logo

GLM-5.3

Z.ai · GLM-5.3 License

The strongest open-weight model for long agentic runs that chain KYB, sanctions, and internal data.

Z.ai's strongest open-weight model, post-trained for complex coding and long-horizon agent work.

Context1M tokens
Parameters753B

Input: text

Harnesses in Runtime

Claude CodeOpenCodeCline
2Moonshot AI logo

Kimi K3

Moonshot AI · Kimi K3 License

Reads website screenshots and documents natively, useful for spotting fake storefronts.

The first open 3T-class model, natively multimodal with a 1M-token context.

Context1M tokens
Parameters2.8T

Input: text, image, video

Harnesses in Runtime

Claude CodeOpenCodeCline
3DeepSeek logo

DeepSeek V4 Pro

DeepSeek · MIT

Careful reasoning for borderline cases, under an MIT license.

The official DeepSeek V4 Pro release, with stronger agentic skills and an MIT license.

Context1M tokens
Parameters1.6T

Input: text

Harnesses in Runtime

Claude CodeOpenCodeCline

Put a merchant underwriting agent to work

01

Write the SOP as a skill

Turn the steps your team already follows into a skill the agent reads before every run.

02

Pick and test the model

Run two or three of these models against past cases. Evals show which one passes at the lowest cost.

03

Run it in your cloud

The agent works on its own computer in your VPC, with role-based access and an approval before sensitive actions.

Questions about models for merchant underwriting

What is the best open source model for merchant underwriting?

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For merchant underwriting, our top pick is GLM-5.3 from Z.ai. The strongest open-weight model for long agentic runs that chain KYB, sanctions, and internal data. Kimi K3 is a close second, and DeepSeek V4 Pro rounds out the list.

What matters when choosing a model for merchant underwriting?

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Long, multi-tool investigations. Reads websites and documents. Clear decision memos with cited evidence. Test two or three candidates against your own past cases before you commit, and keep a human approval on any step that moves money or changes a customer's status.

Can I run an open source model for merchant underwriting without sending data to a third party?

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Yes. Download the weights and serve them with vLLM or SGLang in your own cloud, or use Amazon Bedrock or Google Vertex AI in your account. With Runtime, the agent's computer also runs in your VPC, so card data and PII stay in your environment.

Which of these models can I use commercially?

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DeepSeek V4 Pro (MIT) is permissive and fine for commercial use. GLM-5.3 (GLM-5.3 License), Kimi K3 (Kimi K3 License) use custom licenses, so read the terms first.