freellmpool › providers › Cerebras
Cerebras runs inference on its wafer-scale engine, giving some of the highest
tokens-per-second available. Its current pricing offers a finite $5 trial rather than recurring free daily
capacity, so freellmpool keeps the documented Cerebras routes out of automatic routing. Get a key at
cloud.cerebras.ai and call the OpenAI-compatible endpoint at
https://api.cerebras.ai/v1. Use freellmpool
to explicitly pin Cerebras and fall back to recurring tiers for normal traffic.
Pick Cerebras when you want to evaluate its throughput within a bounded trial budget. Its documented shared catalog is deliberately small. It is a useful explicit experiment, not a source of automatic or recurring-free pool capacity.
Cerebras' current shared model catalog lists:
gpt-oss-120b — strong open reasoning model, served fast.gemma-4-31b — Google's current Gemma route.zai-glm-4.7 is no longer on Cerebras' official shared model list
and is disabled in freellmpool.
curl https://api.cerebras.ai/v1/chat/completions \
-H "Authorization: Bearer $CEREBRAS_API_KEY" -H "Content-Type: application/json" \
-d '{"model":"gpt-oss-120b","messages":[{"role":"user","content":"Hi"}]}'
max_tokens so hidden reasoning doesn't eat
the whole budget and return empty content.Keep Cerebras outside automatic routing so the finite trial is intentional. freellmpool can explicitly pin a Cerebras model while recurring providers handle ordinary traffic:
pip install freellmpool
export CEREBRAS_API_KEY=... # plus other free keys
freellmpool ask -m cerebras/gpt-oss-120b "..." # explicitly spend trial credit
freellmpool benchmark # time each provider you've configured
See also Groq (a recurring fast tier), best free LLM API gateway, and using multiple free LLM APIs together.
Cerebras currently offers a finite $5 trial rather than recurring free capacity. Get a key at cloud.cerebras.ai, review current pricing, and explicitly pin a documented model.
Both are very fast and often trade the top spot depending on model and load. The practical answer is to
run freellmpool benchmark and let routing prefer whichever is fastest for you right now.
Automatic fan-out could consume finite trial credit unexpectedly. Explicit pins keep that spend intentional while still making the fast endpoint available.