Introducing ASpec
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Cerebras vs Runware

Runware generates images and video cheaply across 300+ priced models. Cerebras generates text at top speed. Different modalities, different buyers.

By The Subconscious Team · Updated

Cerebras vs Runware: key differences

Runware is a media generation API. One request schema covers image, video, audio and 3D, and the rate sheet lists 300+ priced models, with images from fractions of a cent and Seedance 2.5 video at about $0.10 a second at 480p. Its Sonic Inference Engine hardware keeps costs low by Runware's account. Cerebras is a text host on a wafer-scale chip, serving GPT-OSS 120B near 3,000 tokens per second at $0.35 in and $0.75 out. Each builds its own hardware, and each points it at a different output.

Runware does handle text, but its own profile calls LLM hosting a side line and says text fits better elsewhere. Cerebras does not list media generation. That makes them natural partners in a consumer app: Cerebras for real-time chat or captions, Runware for images and short video. Runware also rents raw H100s by the second at $3.95 an hour. Apps using Runware need their own storage, since output URLs expire after seven days by default.

What Cerebras and Runware 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 Qwen 3.8 27B since Gemma 4 31B moved to dedicated-only in September 2026. More model families live on dedicated endpoints and through partners like OpenRouter, Hugging Face, Vercel and AWS Marketplace.

Example models: GPT-OSS 120B, Qwen 3.8 27B

Full Cerebras profile

Runware

Runware sells what it calls the lowest-cost API for media generation, and it claims more than 1M developers. One endpoint covers image, video, audio, 3D and text. Every request is a task with the same shape, so switching from a Kling video to a Seedream image mostly means changing the model ID. The published rate sheet lists 300+ priced models, with images from fractions of a cent to a few cents each and video billed per second, like Seedance 2.5 at about $0.10 a second at 480p.

Example models: Seedance 2.5, Qwen-Image-3.0

Full Runware profile

Should you choose Cerebras or Runware?

Cerebras

Choose Cerebras for

  • Real-time text for chat and voice
  • Fast long text outputs
  • Open-weight GPT-OSS 120B at low per-token cost

Runware

Choose Runware for

  • High-volume image and short video generation
  • Fine-tuned diffusion and community checkpoints at scale
  • One schema across image, video, audio and 3D

Cerebras vs Runware at a glance

AttributeCerebrasRunware
Model accessOpen weightsHosted media models
Flagship modelsGPT-OSS 120B, Qwen 3.8 27BSeedance 2.5, Qwen-Image-3.0
Speed~3,000 tok/s on GPT-OSS 120BUnknown
Price$0.35 in, $0.75 out (GPT-OSS 120B)Images from fractions of a cent
CustomizationUnknownFine-tuned diffusion checkpoints
DeploymentShared API, dedicated, partnersUnified API, serverless GPUs, bare metal
Long context131K on GPT-OSS 120B, 128K on Qwen 3.8 27BNot applicable

Frequently asked questions

What is the difference between Cerebras and Runware?

Runware generates images and video cheaply across 300+ priced models. Cerebras generates text at top speed. Different modalities, different buyers.

When should I choose Cerebras over Runware?

Real-time text for chat and voice; Fast long text outputs; Open-weight GPT-OSS 120B at low per-token cost.

When should I choose Runware over Cerebras?

High-volume image and short video generation; Fine-tuned diffusion and community checkpoints at scale; One schema across image, video, audio and 3D.

Is Cerebras or Runware cheaper?

Cerebras: $0.35 in, $0.75 out (GPT-OSS 120B). Runware: Images from fractions of a cent. The cheaper choice depends on the model and workload.

Which has more context, Cerebras or Runware?

Cerebras: 131K on GPT-OSS 120B, 128K on Qwen 3.8 27B. Runware: Not applicable.

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