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Runware vs Wafer
Runware is a low-cost media generation platform. Wafer sells agent-tuned inference for large open text models. They cover different workloads.
By The Subconscious Team · Updated
Runware vs Wafer: key differences
Runware and Wafer each claim a cost or speed edge from how they build infrastructure, but for different model types. Runware's Sonic Inference Engine pairs custom hardware and software, with pods of about 1 MW per container that Runware says cut capital cost 90% against a traditional data center, and a Model Lake that keeps 400K+ models resident. That supports media generation at low prices across image, video, audio and 3D. Wafer's agents tune serving stacks for large open text models, and it reports Qwen 3.5 397B running 2.8x faster than stock SGLang.
Pick by modality. Consumer apps generating images or short video, and teams serving fine-tuned diffusion checkpoints, fit Runware, which treats LLM hosting as a side line. Coding agents wanting big open models at interactive speed, through Wafer Pass from $10 a week or a dedicated deployment tuned to an SLO, fit Wafer. Both rely on self-reported numbers for their headline gains. Wafer is a very young company with a small catalog, and Runware's outputs expire after seven days unless stored elsewhere.
What Runware and Wafer do
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 profileWafer
Wafer builds AI agents that act as GPU performance engineers, then sells inference on the stacks those agents tune. The company came out of Y Combinator's Summer 2025 batch as a "Cursor for CUDA" that turned slow PyTorch into custom kernels. Founders Emilio Andere and Steven Arellano are based in San Francisco. Its agents profile a workload, generate candidate configs across batching, decoding, quantization, engines, kernels and hardware, measure each one and deploy the winner.
Example models: Qwen 3.5 397B Turbo, GLM 5.1 Turbo
Full Wafer profileShould you choose Runware or Wafer?
Runware
Choose Runware for
- Image, video, audio and 3D generation at low cost
- Batching many media tasks in one call
- Community and fine-tuned diffusion checkpoints
Wafer
Choose Wafer for
- Large open text models at interactive speed
- Flat-rate access inside coding harnesses
- Dedicated LLM endpoints tuned to a latency SLO
Runware vs Wafer at a glance
| Attribute | Runware | Wafer |
|---|---|---|
| Model access | Hosted media models | Open weights |
| Flagship models | Seedance 2.5, Qwen-Image-3.0 | Qwen 3.5 397B Turbo, GLM 5.1 Turbo |
| Speed | Unknown | 2–2.8x vs stock vLLM or SGLang |
| Price | Images from fractions of a cent | Wafer Pass from $10 a week |
| Customization | Fine-tuned diffusion checkpoints | Agent-tuned dedicated deployments |
| Deployment | Unified API, raw GPUs | Serverless pass, dedicated |
| Long context | Not applicable | Varies by model |
Frequently asked questions
What is the difference between Runware and Wafer?
Runware is a low-cost media generation platform. Wafer sells agent-tuned inference for large open text models. They cover different workloads.
When should I choose Runware over Wafer?
Image, video, audio and 3D generation at low cost; Batching many media tasks in one call; Community and fine-tuned diffusion checkpoints.
When should I choose Wafer over Runware?
Large open text models at interactive speed; Flat-rate access inside coding harnesses; Dedicated LLM endpoints tuned to a latency SLO.
Is Runware or Wafer cheaper?
Runware: Images from fractions of a cent. Wafer: Wafer Pass from $10 a week. The cheaper choice depends on the model and workload.
Which has more context, Runware or Wafer?
Runware: Not applicable. Wafer: Varies by model.
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.