Use ONE model only: Gemma4 31B

Discussion & Solutions
1

I have a NLP task for which Gemma4 31B is best suited. Using it with Cerebras Cloud works but hits daily limit very quickly and I dont have hardware to deploy locally. Google AI Studio also give up on limits. How can use this model only?

2

ollama. Its free

3

Gemma is open-weights — Cerebras and Google don’t own it, they’re just two hosts among many. That “daily limit” is one provider’s throttle, not the model’s. The same Gemma runs on a dozen clouds behind the standard chat API, so you hop hosts by changing one base_url — and stacked free tiers add up to one big daily quota. (Reply above said Ollama — that’s local, which you can’t do; this is all cloud, no GPU.)

:electric_plug: The one-line swap — same code, any host

from openai import OpenAI
c = OpenAI(base_url="https://openrouter.ai/api/v1", api_key="YOUR_KEY")
c.chat.completions.create(
    model="google/gemma-3-27b-it:free",
    messages=[{"role": "user", "content": "..."}])

↳ change base_url + api_key + model → you’re on a different host. Nothing else in your code moves.

:world_map: Where Gemma runs free (no card) — ranked by daily headroom

Host Free / day model base_url
Google AI Studio :warning: not in EU/UK ~14,400 req gemma-3-27b-it generativelanguage.googleapis.com/v1beta/openai/
Cerebras :warning: card required now $5 credit, then pay-per-token gemma-4-31b * api.cerebras.ai/v1
OpenRouter :shuffle_tracks_button: also the rotator 50 → ~1k req † google/gemma-3-27b-it:free openrouter.ai/api/v1
NVIDIA NIM ~40 RPM · no hard cap google/gemma-3-27b-it integrate.api.nvidia.com/v1

* preview slot — verify the live id first · † 50/day jumps to ~1,000/day after a one-time $10 credit (the :free calls don’t spend it)

You’re already on Cerebras + Google — so just add OpenRouter + NVIDIA, then fuse all four into one quota :backhand_index_pointing_down:

:shuffle_tracks_button: Make N free tiers act as ONE big quota

⚠️ Gotchas that bite a naive swap (read once)
  • Cerebras killed its no-card free tier on Aug 17, 2026 — existing accounts got a migration email; it’s now add-a-card-for-$5-credit, then pay per token. Google AI Studio, OpenRouter, and NVIDIA below are still genuinely free, no card.
  • Your “Gemma 4 31B”: Cerebras / NVIDIA / OpenRouter carry the newer v4, but preview/:free slots rotate — verify the exact id live (filter https://openrouter.ai/models by $0). Everywhere else, gemma-3-27b-it is the guaranteed drop-in — same request body.
  • IDs differ by host: google/ prefix on OpenRouter/NVIDIA (OpenRouter adds :free) vs bare id on Google/Cerebras. Only base_url + key + model change.
  • Dead ends — don’t waste time: Groq, Together, and GitHub Models have no Gemma in their catalogs anymore.
  • Google’s /openai/ path sometimes serves Gemini only — if a gemma-* id 404s, use Google’s native genai SDK, or just reach Google’s Gemma quota through OpenRouter.
  • Overflow tap: after the standing-free hosts 429, DeepInfra ($5) / Nebius (~$5–10) hand out one-time credit (no card), then pennies/1M tokens.

The model was never the wall — the meter was. Spread it across meters and the wall’s gone.

4

Hello Friend, You may also want to check out > https://omniroute.online/
Let me know if this works for you!

Cheers

5

Thank you all, solved :smiley:

6

9router also works fine: https://9router.com

7

what do you usually use agent on this kind of setup for Gemma4 31b?

hermes or openclaw?

8

Thanks to all in community for helping. Cerebras will move to paid tier on 14th Aug. I got the mail from them. Google AI Studio is working and probably the best with a very generous limit.
I saw @Thorgal tell about 9router. I have set it up. That helps as well.
Thanks again :slight_smile:

@niggaplsss I dont use agent (I don’t know how :frowning: to use). I have prose, dense text which I need converted to bullet points. So i copy-paste chunks in playgorund using Gemma4 31B in Google AI Studio and ask it. I have give it a system prompt so every time i give it text, gemma returns in bullet points.

9

@Vishal_Jain2 — checked independently, matches your email exactly: Cerebras killed the no-card free tier on Aug 17, 2026. Existing accounts move to add-a-card-for-$5-credit, then pay per token. Not a scam mail, just reality — corrected the table above :up_arrow:. Good that Google AI Studio’s holding a generous limit and 9router’s covering the gap.

On 9router specifically — worth a 2-minute check since you’ve already got it running. It shipped a critical bug, CVE-2026-49352: a hardcoded fallback JWT secret that lets anyone on the internet forge a login cookie and pull every API key sitting in its dashboard, if JWT_SECRET was never set. Fixed in v0.4.45+.

npm list -g 9router

Below 0.4.45 → npm update -g 9router. Or just set a real JWT_SECRET env var yourself — either one kills the bug. Two minutes, worth doing before more keys sit behind it.

@gman20’s omniroute.online is the same family — literally a fork of 9router, way more providers. Independent reviews flag it harder though: API keys stored unencrypted by default, guardrails that fail open on error, and TLS-fingerprint spoofing built in specifically to dodge provider anti-abuse detection. Fine for solo tinkering behind a throwaway key, not for anything you’d mind losing.

@niggaplsss — Hermes and OpenClaw aren’t competing for Gemma specifically. Both are self-hosted personal-agent frameworks that happen to accept any OpenAI-compatible endpoint, so either one just points straight at the setup above :up_arrow:.

  • Hermes Agent (Nous Research) — Python, CLI-first, self-improving skill library, 300+ models via its own Portal or a custom endpoint.
  • OpenClaw — Node/Docker, web dashboard, 30+ plugins, same custom-endpoint support.

Pick by workflow — CLI + skills-that-learn vs dashboard + plugins — not by Gemma support. Both run it fine through OpenRouter/NVIDIA.