Cerebras vs Inference.net

Inference.net runs batch on spare GPU capacity with day-scale windows. Cerebras runs real-time generation at about 3,000 tokens per second.

By The Subconscious Team · Updated September 30, 2026

Cerebras vs Inference.net: key differences

Time is the dividing line. Inference.net started by buying idle GPU time and still reflects it: its Batch API takes up to 1M requests per file with completion windows from 24 hours to 7 days, priced off discounted spare capacity. Cerebras sells the opposite, serving GPT-OSS 120B near 3,000 tokens per second on a wafer-scale chip. Inference.net's own profile says fragmented spare capacity suits batch better than strict real-time SLAs, and real-time generation is exactly what Cerebras does best. The two rarely compete for the same request.

Inference.net also sells a loop from traffic to custom model: route requests through its gateway, capture them, turn them into training data, and deploy a distilled task-specific model on a dedicated GPU with a 99.99% uptime target. Cerebras' strengths are speed and an unusual link to closed models through OpenAI's Ultrafast preview. Each has limits on proof or breadth. Inference.net has few independent benchmarks, and the Cerebras shared catalog is only two models. Offline extraction and synthetic data belong on Inference.net. Voice and streaming belong on Cerebras.

What Cerebras and Inference.net do

Cerebras

Cerebras builds a single chip the size of a silicon wafer, and its inference cloud is the fastest public host on the models it serves. Its developer table lists GPT-OSS 120B near 3,000 tokens per second, about six times Groq on the same weights, at $0.35 in and $0.75 out per million. The public shared catalog is thin, just GPT-OSS 120B and Gemma 4 31B as of August 2026. More model families live on dedicated endpoints and through partners like OpenRouter, Hugging Face, Vercel and AWS Marketplace.

Example models: GPT-OSS 120B, Gemma 4 31B

Full Cerebras profile

Inference.net

Inference.net started as a buyer of last resort for idle GPU time. Its scheduler aggregates small unused chunks of capacity across data centers and runs models on them, and it passes the steep discounts it gets from those data centers on to customers. That origin still shows in its OpenAI-compatible Batch API, which takes up to 1M requests per file with completion windows from 24 hours to 7 days and far higher headroom than synchronous limits.

Example models: open catalog models plus customer fine-tunes served on dedicated GPUs

Full Inference.net profile

Should you choose Cerebras or Inference.net?

Cerebras

Choose Cerebras for

Real-time voice and streaming generation
Strict latency needs on GPT-OSS 120B
Long outputs a user watches arrive

Inference.net

Choose Inference.net for

Million-request offline jobs with 24-hour to 7-day windows
Distilling a narrow workload into a custom model
One gateway key over open, closed and custom models

Cerebras vs Inference.net at a glance

Attribute	Cerebras	Inference.net
Model access	Open weights	Open, closed and custom
Flagship models	GPT-OSS 120B, Gemma 4 31B	Customer fine-tunes
Speed	~3,000 tok/s on GPT-OSS 120B	Batch windows of 24h to 7 days
Price	$0.35 in, $0.75 out (GPT-OSS 120B)	Discounted spare GPU capacity
Customization	Unknown	Distill traces into custom models
Deployment	Shared API, dedicated, partners	Batch API, gateway, dedicated GPUs
Long context	Unknown	Varies by model

Frequently asked questions

What is the difference between Cerebras and Inference.net?

Inference.net runs batch on spare GPU capacity with day-scale windows. Cerebras runs real-time generation at about 3,000 tokens per second.

When should I choose Cerebras over Inference.net?

Real-time voice and streaming generation; Strict latency needs on GPT-OSS 120B; Long outputs a user watches arrive.

When should I choose Inference.net over Cerebras?

Million-request offline jobs with 24-hour to 7-day windows; Distilling a narrow workload into a custom model; One gateway key over open, closed and custom models.

Is Cerebras or Inference.net cheaper?

Cerebras: $0.35 in, $0.75 out (GPT-OSS 120B). Inference.net: Discounted spare GPU capacity. The cheaper choice depends on the model and workload.

Related comparisons

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If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.

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