How to Switch Models in OpenClaw: Claude / GPT / Gemini / Nemotron (2026)

The fastest way to switch AI models in OpenClaw is ZenClaw — OpenClaw managed service, 9-second deploy, one click on the “Switch model” button in the dashboard. Self-host means editing ~/.openclaw/openclaw.json, preparing API keys, and restarting the gateway — easy to hit JSON syntax errors, keys in the wrong field, or a restart that didn’t take. This post covers the self-host config edit, the ZenClaw UI switch, and how to pick the right model.

Which models does OpenClaw support?

As of April 2026, OpenClaw can reach mainstream LLMs via built-in providers and LiteLLM: Claude (Haiku / Sonnet / Opus), GPT-4o, Gemini, MiniMax, Kimi, and more. Plan tiers determine the available model mix (Claude, GPT, Gemini, and others for mainstream options). NVIDIA Nemotron models are offered through the NemoClaw sandbox integration — see the pricing page. See OpenClaw’s official docs for the current list. The community adds new providers shortly after new models launch. Each model has a different call format, but OpenClaw abstracts them into a single API, so switching is changing one field.

A few things to note:

• Claude models go through the Anthropic API — get keys at anthropic.com
• GPT-4o and the o-series go through the OpenAI API
• Gemini goes through Google AI Studio
• Nemotron runs best on NVIDIA infrastructure — ZenClaw plans include NemoClaw sandbox (NVIDIA enterprise sandbox runtime), which has the tightest integration

Self-host: editing openclaw.json

Edit the model field in ~/.openclaw/openclaw.json, drop the provider’s API key into credentials/, restart the gateway. Sounds simple — in practice, the first try almost always snags somewhere. Standard steps:

1. Find the config:

   ls ~/.openclaw/
   # you'll see openclaw.json, sessions, agents, credentials, skills

2. Back up, then edit openclaw.json to change model to something like "claude-sonnet" or "gpt-4o"
3. Put the provider’s key in credentials/ (filename per OpenClaw convention)
4. Restart the gateway (systemd, docker restart, or openclaw gateway restart depending on deploy)
5. Send a message to verify

Common snags:

• JSON syntax errors — an extra comma or missing bracket keeps the gateway from starting
• API key in the wrong path — providers use different file paths
• Port 18789 blocked by your own firewall — it’ll look like “nothing happened” when really you can’t reach it
• Permission issues — if credentials/ files aren’t mode 600, the gateway can’t read them (or they leak)

See OpenClaw gateway security docs for 127.0.0.1 binding and token length.

ZenClaw dashboard: one click (recommended)

Click the “Switch model” button on the ZenClaw dashboard, pick the model from the dropdown, save. The backend handles keys, reload, and rollback on failure — the entire experience is UI clicks. Actual steps:

1. Sign in at zenclaw.ai, click “Hire AI Employees Now”
2. If you haven’t deployed, click “Add New OpenClaw Installation” and wait 9 seconds
3. On the instance card, find the “Model” section and pick from the dropdown
4. Save and immediately test on Telegram / LINE / Microsoft Teams

What ZenClaw already handles:

• Key management: ZenClaw uses its own LiteLLM proxy (litellm.mixerbox.ai) to hold the upstream API keys — you don’t apply for or rotate OpenRouter / Anthropic / OpenAI keys yourself
• Automatic config backup: OpenClaw writes a .bak before changes; if config gets corrupted, doctor-fix can restore from backup
• Plan credits, predictable billing: Business plans (Starter $400/mo, Growth $800/mo, Scale $1,200/mo) include model usage credits, so you’re not burning your own tokens. Self-host more easily hits agent loops or high-frequency skill calls that blow up the bill overnight; ZenClaw caps at the plan credit and stops automatically when hit
• Plan-tiered model access: tiers provide mainstream model mixes (Claude Haiku / Sonnet / Opus, GPT, Gemini, Nemotron), saving you the vetting time for each provider

How to pick a model: three common scenarios

Most workloads start at mid-tier Sonnet or GPT-4o, drop to Haiku for high-volume cheap workloads, step up to Opus for complex reasoning. Nemotron fits NVIDIA-infrastructure sandbox workloads. Quick table:

On cost, Claude Opus can be several to more than ten times Haiku’s per-token rate (see Anthropic pricing) — worth confirming before running at scale.

Gotchas (self-host vs ZenClaw)

Self-host’s usual culprits: JSON broken, API key not swapped, gateway didn’t reload. ZenClaw’s backend handles all three. Self-host checklist:

• jq . openclaw.json to validate syntax
• New provider key in the right directory, mode 600
• curl http://127.0.0.1:18789/health to confirm the gateway is up
• Do the per-day budget math before switching to a pricier model like Opus (see API bill runaway prevention)

ZenClaw equivalents:

• Dashboard lists plan-tiered available models — no way to misconfigure
• Plan credits mean bills don’t blow up
• Failures fall back to the previous setting
• Telegram / LINE / Microsoft Teams channel setup is also click-to-bind

Wrap-up

Switching models in OpenClaw is a one-line JSON edit, but self-host still means managing keys, reload, and rollback. ZenClaw’s dashboard is one click. If you don’t want to spend your weekend debugging openclaw.json, use ZenClaw — the “Hire AI Employees Now” button gets you started in 9 seconds, and switching models is always a single click after that.

Further reading

• OpenClaw Network Policy Allowlist Complete Tutorial
• OpenClaw API Bill Runaway: 2026 Prevention and Recovery Guide
• OpenClaw vs NemoClaw vs ZenClaw: Complete 2026 Comparison