← Home

Guide

Gemini 3.8 Flash on OpenClaw and Hermes

Google lists gemini-3.8-flash as a stable model and describes it as its most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows. That is a Flash-tier model aimed squarely at the kind of work an always-on agent does. Here is how to run it on OpenClaw or Hermes Agent, and what is actually known about it.

What Gemini 3.8 Flash Is

Flash has always been Google's throughput tier — the model you point at work that runs constantly and has to stay cheap. The 3.8 generation keeps that position but is explicitly pitched at long-horizon tasks rather than short ones, which is the part that matters for agents. An agent handling a multi-step job holds a growing context and makes many tool calls; a model tuned for that profile behaves very differently from one tuned for single-turn chat.

Naming note: there is no plain “Gemini 3.8” and no “Gemini 3.8 Pro”. The 3.8 generation currently ships the Flash tier only, so if a tutorial references a 3.8 Pro model, it is describing something Google does not list.

Where It Sits in the Flash Line

Model IDPosition
gemini-3.8-flashNewest. Positioned for long-horizon software engineering, autonomous agents and complex enterprise workflows.
gemini-3.7-flashPrevious Flash generation, still stable and selectable.
gemini-3.6-flashWidely deployed. Covered in its own guide.
gemini-3.5-flashOlder Flash tier, plus a flash-lite variant.

Google has not published a context window, knowledge cutoff, or per-token price for 3.8 Flash on its model list. Rather than guess at those here, check the Gemini API model page and Google's pricing page before you budget a heavy workload against it. Treat any blog post quoting exact 3.8 Flash pricing with suspicion until it cites Google directly.

How to Run It on OpenClaw Launch

Both routes work with a bring-your-own-key setup — a Google AI Studio key for the Gemini API directly, or an OpenRouter key if you would rather keep one provider account for everything.

  1. Deploy an agent from openclawlaunch.com — about 30 seconds. Bring-your-own-key model selection needs a paid plan; the free trial runs a fixed set of free models, so use it to check the product rather than this model.
  2. In your dashboard, add your Google AI Studio key (or an OpenRouter key) under BYOK settings.
  3. Open the model picker and type gemini 3.8. Searching reveals the live provider catalog rather than only the curated shortlist, so the model appears as soon as your provider lists it — no redeploy and no config file edit.
  4. Select it. The change applies to the running agent immediately.

The same flow covers Hermes Agent: deploy a Hermes instance instead, add the key, and pick the model. See Hermes + Gemini for the Hermes-specific notes.

Self-Hosted Configuration

The two frameworks take different config shapes, and the difference is not cosmetic — copying OpenClaw's string into Hermes does not work.

OpenClaw

OpenClaw takes a single provider/model string:

agents:
  defaults:
    model:
      primary: "google/gemini-3.8-flash"

Hermes Agent

Hermes splits the provider into its own key and takes the model name bare. The canonical provider id is gemini; google, google-gemini and google-ai-studio are declared aliases for the same provider, so an existing config using one of those is fine:

model:
  provider: gemini
  default: gemini-3.8-flash

Through an aggregator the provider becomes the aggregator and the model keeps that aggregator's slug — never OpenClaw's form:

model:
  provider: openrouter
  default: google/gemini-3.8-flash

A model change is picked up by new sessions automatically; run hermes gateway restart only if you want to force existing sessions onto it. For the credentials themselves, see OpenClaw + Gemini and Hermes + Gemini.

Because it is a current stable model rather than a preview, it does not need a preview-channel flag or an allowlist request on either framework. If your instance cannot see it, the usual cause is a provider account that has not been enabled for the newest models rather than anything in the agent config.

When to Pick It

  • Pick 3.8 Flash for agents that run all day on many small tool calls, and for multi-step coding or workflow jobs where the session grows long. That is the profile Google is explicitly targeting.
  • Stay on 3.6 Flash if you have a tuned, working setup and no complaints — there is no reason to chase a version number. See the 3.6 Flash guide.
  • Reach for a frontier model — Claude Fable 5.1, GPT-6 Astra — for hard one-off reasoning and code review, and keep Flash as the everyday driver. Switching per task takes one command.
Tip: you can switch models at any time from the dashboard or with the /model chat command, so the cheap way to evaluate 3.8 Flash is to run it as your driver for a few days and keep a frontier model for reviews. See multi-model switching.

Frequently Asked Questions

Does Gemini 3.8 Flash work on Hermes Agent?

Yes. On a managed instance the flow is identical — add the key, pick the model. Self-hosted, Hermes uses a different config shape from OpenClaw: set model.provider to gemini — google is a declared alias for the same provider — and model.default to the bare name gemini-3.8-flash. Through OpenRouter, use provider: openrouter with default: google/gemini-3.8-flash.

Is there a Gemini 3.8 Pro?

No. Google lists only the Flash tier for the 3.8 generation — there is no gemini-3.8-pro and no plain gemini-3.8.

How much does it cost?

Google has not published per-token pricing for 3.8 Flash on its model list. Check Google's official pricing page before budgeting a heavy workload, and be sceptical of posts quoting exact figures without citing Google.

Related Guides

Deploy with Gemini 3.8 Flash

Get an agent running on Google's newest Flash model in about 30 seconds. Bring your own Gemini or OpenRouter key, and switch models whenever you like.

Deploy Now