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Cerebras Free Inference API: Web-Scale Chip Speed, Zero-Cost to Start

Cerebras Free Inference API: Web-Scale Chip Speed, Zero-Cost to Start

Cerebras Systems is known for its Web-Scale Engine (WSE) โ€” a wafer-scale processor built specifically to accelerate LLM inference. Its Inference API offers a free tier so you can experience some of the fastest open-model inference available today, at zero cost.

1. What the Free Tier Includes

Item Details
Free models Llama 3.3 70B Instruct (main), Llama 3.1 8B
Output speed Measured 1200โ€“2000 tokens/s (70B), far faster than typical GPU clusters
Context 128K tokens
Rate limits ~1 req/s, 60 req/min on the free tier (see console for live values)
Cost $0, no credit card required

Note: the Cerebras free tier is positioned for developer experience and evaluation โ€” great for prototyping and light production traffic, not for high-concurrency production workloads.

2. Sign Up & Get an API Key (~1 minute)

  1. Open the Cerebras console (console.cerebras.ai) and sign up with email or Google;
  2. Go to API Keys and create a key โ€” copy and store it safely;
  3. Try the built-in Playground on the console home page, no code needed.

No credit card, no enterprise verification.

3. API Call Examples

The Cerebras API is fully OpenAI-compatible โ€” just swap the base_url:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.cerebras.ai/v1",
    api_key="YOUR_CEREBRAS_API_KEY",
)

resp = client.chat.completions.create(
    model="llama-3.3-70b",
    messages=[{"role": "user", "content": "Explain wafer-scale chips in one sentence"}],
    max_tokens=256,
)
print(resp.choices[0].message.content)

cURL version:

curl https://api.cerebras.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "llama-3.3-70b", "messages": [{"role": "user", "content": "Hello"}], "max_tokens": 128}'

4. Rate Limits & Mitigation

  • Rate-limited requests return 429 with a Retry-After header;
  • Implement exponential backoff (see our Unified API category for retry & fallback strategies);
  • For high concurrency, route across Groq / Mistral free tiers โ€” APIShare's unified API has this built in.

5. Best Use Cases

  • Rapid prototyping: 70B-class quality with second-level response times;
  • Long-context streaming: 128K context + high throughput for real-time summarization and chat;
  • Cost-sensitive light production: tool-style apps with modest daily request volume.

6. Comparison with Other Free Channels

Channel Representative model Output speed (measured) Context
Cerebras Llama 3.3 70B 1200โ€“2000 t/s 128K
Groq Llama 3.3 70B 500โ€“1000 t/s 128K
Mistral Mistral Small 300โ€“600 t/s 32K
Cloudflare Workers AI Llama 3.1 8B 80โ€“150 t/s 8K

See our "2026 Free AI API Speed Ranking" for the full benchmark.

7. FAQ

Q: Can the free tier suddenly start charging me? A: Cerebras keeps free and paid keys strictly separated โ€” no silent billing.

Q: Does it support function calling? A: Yes, the OpenAI-compatible tools parameter works as-is.

Q: Is commercial use allowed? A: Free-tier outputs are fine for development and evaluation; for production commercial use, upgrade to the paid tier for SLA guarantees.


๐Ÿš€ Get Started: One-Click Free API Access

Want to call all the free models above with a single API key, no need to sign up for each provider? Apishare.cc provides a unified API Key โ€” one key, 100+ models, free models at zero cost.

๐Ÿ‘‰ Register on Apishare.cc โ†’ Get your unified API Key

๐Ÿ“Š Want to see more free model rankings? Check out the Sep 2026 Free LLM API Rankings โ†’


About the Free API Aggregator

The models covered in this guide are all served through the APIShare free API aggregator, which gives you one key for the whole catalog.

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