I have a two part task. Part 1, I use Groq hosted llama70b. The task is big, uses the free tier complete. For part 2, I want to use GPT-OSS 20b. I can make another API key with a different email id. But does sending requests from the same ip risks a chance of ban? If yes, how do I overcome this? Can someone guide pls?
Two-part task on Groq, Part 1 hammering Llama 70B, Part 2 wanting GPT-OSS 20B, and you’re worried a second account from the same IP trips a ban.
Reading between the lines — sounds like you’re being responsible (asking before doing), a little wary of tripping a rule you can’t see. Smart instinct.
Let me translate what you’re actually asking, because the real answer is way better than the question:
You don’t need a second account at all.
That’s the whole reply in one line. Everything below is just receipts and the cleanest setup.
At a glance
| What’s bugging you | What to actually do | Time |
|---|---|---|
| Same-IP ban risk for 2 accounts | Skip — a second account gives you nothing | 0 min |
| Both models on one free tier | Same key, just change model= per call |
30 sec |
| Part 1 alone exhausts a model’s daily quota | Add Cerebras, route via OpenRouter | ~10 min |
| Zero rate-limit headaches | $2 on Dev tier, move on | 2 min |
One key handles both models — separate daily quotas, per model. Llama 70B and GPT-OSS 20B don’t share a bucket.
Skip the 2nd-account plan entirely — Groq’s ToS lists multi-accounting as suspendable, AND it gives you nothing extra anyway.
If Part 1 alone is too big — stack providers, don’t stack accounts. Cerebras gives 1M tokens/day free.
Or spend two dollars — Dev tier removes daily caps + 25% token discount + Batch API at another 50% off. Typical “big task” lands $1.50–$5.
Here’s the part nobody tells you
Groq doesn’t really ban casual multi-accounters — basically zero public evidence of free-tier bans for individual devs.
But during US business hours, free-tier traffic gets silently deprioritized. Slower responses, sometimes much slower, while Dev-tier traffic gets priority routing.
“Staying on free” has a quiet ongoing cost in latency that doesn’t appear on any docs page.
🛠️ I personally run this stack — and what bit me once
Free Groq key + free Cerebras key behind OpenRouter’s BYOK setup (Bring Your Own Key — you give OpenRouter your existing key and it routes through it; first 1M requests/month are free with zero routing fee) for a Tuesday-night batch summarization job.
Once it bit me when Cerebras silently truncated a long input — turns out their free tier caps the context window at 8,192 tokens (roughly 6,000 words combined input + output), regardless of the model’s native window. Output came back coherent but missing half my data.
So if you go the Cerebras route → 8K is the hard ceiling. Anything bigger stays on Groq.
🔍 Why one key already does both models — the receipts
Groq’s rate limits live at the organization level — your Groq account is one org, you can spin up multiple API keys inside it, but they all share the same daily bucket. Creating a second key inside the same account gives you nothing extra.
Groq’s own rate-limits doc spells this out.
But within a single key, each model has its own independent per-model bucket:
llama-3.3-70b-versatile→ ~1,000 requests/day on the free tieropenai/gpt-oss-20b→ another ~1,000 requests/day, separate counter- Same key for both. Each runs against its own quota.
That’s the part nobody explains clearly anywhere. The 2nd-account question dissolves the moment you realize one key already does what you wanted two for.
🚀 Do Exactly This, In This Order
Quick re-ground if you scrolled here first: one key, every Groq-hosted model, rate limits tracked separately per model. No second account needed.
Step 1 — Use OAuth signup, not raw email
Open console.groq.com → click Sign in with Google or GitHub (skip the email-and-password form). Chinese dev forums noted that email-based signups tend to get tighter starting limits, while OAuth-verified accounts get the standard generous tier.
How you’ll know it worked: dashboard loads, top-left shows your default org with a green status dot.
Step 2 — Create one API key
Left sidebar → API Keys → Create API Key → name it main-task or whatever sticks.
Heads up: Groq shows the full key exactly once. Copy it then. Lose it and you’re making a new one — which doesn’t reset your limits, since limits are org-scoped.
Step 3 — Same key, both parts, just change the model field
import os
from groq import Groq
client = Groq(api_key=os.environ["GROQ_API_KEY"])
# Part 1 — Llama 70B
part1 = client.chat.completions.create(
model="llama-3.3-70b-versatile",
messages=[{"role": "user", "content": "..."}],
)
# Part 2 — same client, same key, different model
part2 = client.chat.completions.create(
model="openai/gpt-oss-20b",
messages=[{"role": "user", "content": "..."}],
)
How you’ll know it’s working: both calls return without a
429error, and the response headerx-ratelimit-remaining-requestsshows you how many you have left for the model you just called.
Step 4 — Stretch the free tier with prompt caching (free, automatic)
Structure every request with static content first (system prompt → tool defs → few-shot examples), dynamic content last (per-request user input).
Groq caches the matching prefix automatically → gives 50% off cached tokens AND those cached tokens don’t count toward your rate limits. Cache TTL ~2 hours of inactivity.
For a stable-system-prompt batch task, this can effectively 1.5–2× the daily ceiling. No code changes, no API flag, no cost.
How you’ll know it kicked in: subsequent identical-prefix requests come back noticeably faster.
🌐 If you genuinely need more capacity — stack 3 free providers
Stack providers. Don’t stack accounts. The cleanest unified setup:
- Drop your free Groq key into OpenRouter’s BYOK page
- Add a free Cerebras key alongside (1M tokens/day, no card)
- Route everything through OpenRouter
You get:
1M free BYOK requests/month, zero routing fee- Automatic
429fallback to Cerebras when Groq’s daily limit hits - One unified usage dashboard
Don’t want to configure OpenRouter directly?
Python lib nolimit-ai ships this exact pattern as a 5-line client. Working multi-provider failover repo for reference.
Caveat: OpenRouter’s auto-fallback can land your request on a paid provider if your free key fails — silent OR-credits charge. Lock the route with
"provider": {"only": ["groq"]}in the request body to fail loud instead.
💥 Bob Ross moments — when something looks wrong but isn't
429 Too Many Requests?
You burned a per-minute window. The retry-after response header tells you exactly how many seconds to wait. Most SDKs handle it automatically with max_retries= on the client.
Cerebras response feels chopped off?
8K context cap kicking in. Reroute that one request through Groq, or skip Cerebras for long inputs entirely.
OpenRouter charged you when you thought you were on BYOK?
Auto-fallback fired when your free key 429’d. Add "provider": {"only": ["groq"]} to lock the route.
Slow Groq responses around US business hours?
Free-tier deprioritization, not a bug. Either accept the latency, or upgrade to Dev tier for priority routing.
Dashboard shows “billing email” or fake-looking charges on a free signup?
Display quirk in Groq’s billing UI. Open a community ticket — you don’t actually owe money on free tier.
🪜 Already know API basics? Here's the only piece you're missing
Rate limits are scoped at the organization level, not per key. Multiple keys in one org share the same bucket → that’s why creating a second key gets you nothing.
But within a single key, each model has its own independent per-model bucket. So llama-3.3-70b-versatile and openai/gpt-oss-20b each get separate daily allowances on the same key. You’re already 90% of the way there.
Same trick scales: bring that same free key to OpenRouter as BYOK, add a free Cerebras key for fallback → three-provider chain on zero spend.
Your turn
You said the task is “big” — what’s big in your head?
1M tokens total? 10M? 50M?
That single number flips the whole answer:
Under ~5M total → free tier covers it cleanly with caching
5–50M → $2 Dev tier is the sweet spot
Beyond that → different setup entirely
Copy this reply with your ballpark, ChatGPT will help you trim this down to your exact stack.
This will solve. if same api key calling diff models works, im happy. before your answer, i made cerebras api. now part1 calles groq and part 2 calls cerebras. thank you
!