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Gemma 4 31B: free via FreeLLMAPI

Gemma 4 31B: served free by 5 providers, up to 262K context, tool calling, vision. Provider limits, quotas and setup examples on FreeLLMAPI.

NVIDIA NIM

google/gemma-4-31b-it
Context window262K tokens
Free budgetfree · 40 RPM tokens/mo
Requests / min40 RPM
Recurring free, 40 RPM, eval-only ToS info
NVIDIA NIM replaced its depleting trial credits with a recurring per-account rate limit (40 RPM default, varies by model), verified June 2026. The trial ToS still scopes usage to evaluation/prototyping, not production.

OpenRouter

google/gemma-4-31b-it:free
Context window262K tokens
Free budgetfree · 50 req/day account-wide (1,000 after a $10 purchase) tokens/mo
Requests / min20 RPM
Requests / day50 RPD
Daily :free cap is account-wide info
OpenRouter’s :free daily cap (50/day, or 1000/day once you have ever bought $10 of credits) is shared across ALL :free models on the account, not per model. Per-row rpd values here are therefore optimistic; the router’s cooldown handling absorbs the shared 429s.

Ollama Cloud

gemma4:31b
Context window131K tokens
Free budget~20-30M tokens/mo
Rate limitsnot published

Requesty

google/gemma-4-31b-it
Context window262K tokens
Free budgetfree · 200 rpd tokens/mo
Requests / day200 RPD

HuggingFace Router

google/gemma-4-31B-it
Context window131K tokens
Free budget$0.10/mo credit tokens/mo
Rate limitsnot published
Small $0.10/month routed credit warning
HuggingFace Inference Providers grants only ~$0.10/month of routed credit on the free tier (PRO is $2/month). Enough for light experimentation; exhausts quickly. Credits apply only to HF-routed requests.
Monthly included credits run out info
HuggingFace meters Inference Providers in dollars, not tokens: free accounts get $0.10 credited every month. When it is spent every route answers 402 "You have depleted your monthly included credits", as happened during the September 18, 2026 audit. This is a spent-wallet state, not a dead route, and it clears when the monthly grant renews. Rows are kept enabled and the router should treat 402 here as a provider-level cooldown to the start of next month rather than a per-model failure.

Get this model the moment it changes

Limits move, models get replaced, better ones launch. Premium routers see this page's data live. Free routers see last month's.

Kích hoạt trực tiếp · $19/yr →

Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free NVIDIA NIM key, and google/gemma-4-31b-it answers on an OpenAI-compatible endpoint at http://localhost:3001/v1. No credit card, no hosted middleman: your prompts and your provider keys never leave your machine.

Install the router (macOS, Linux, WSL)
curl -fsSL https://freellmapi.co/install.sh | bash
Install the router (Windows PowerShell)
iwr -useb https://freellmapi.co/install.ps1 | iex
Call google/gemma-4-31b-it with curl
curl http://localhost:3001/v1/chat/completions \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemma-4-31b-it",
    "messages": [{"role": "user", "content": "Say hi in five words."}]
  }'
The same request in Python (openai)
from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:3001/v1",
    api_key="freellmapi-your-unified-key",
)

resp = client.chat.completions.create(
    model="google/gemma-4-31b-it",
    messages=[{"role": "user", "content": "Say hi in five words."}],
)
print(resp.choices[0].message.content)

The router answers on /v1/chat/completions and every other OpenAI surface, plus the Anthropic Messages API, so existing clients need only a new base_url. Swap the model id for auto and the router picks the best free model that is still under its limits. Full reference: docs/api.md.