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Runware vs OpenScale
Runware generates images, video, audio and 3D at low cost behind one schema. OpenScale sells cheap DeepSeek V4.1 Flash text inference.
By The Subconscious Team · Updated
Runware vs OpenScale: key differences
Runware's API covers 300+ priced media models, from Seedance 2.5 video to Qwen-Image-3.0, with one task schema for every modality and batching of many tasks in one call. It runs on its own Sonic Inference Engine hardware, and LLM hosting is a side line. OpenScale, a Y Combinator-backed API out of Singapore, serves DeepSeek V4.1 Flash at $0.06 in, $0.003 cached and $0.24 out per million tokens under a 50% promotion, at 200+ tokens per second, with a fast tier at about twice the speed.
These serve different jobs. Runware fits consumer apps generating images or short video at volume. OpenScale fits text workloads like coding agents and high-volume, cache-heavy calls.
What Runware and OpenScale 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 profileOpenScale
OpenScale is a Y Combinator-backed inference API built by LatentSpace and run out of Singapore. It sells open models behind one endpoint that speaks Chat Completions, the OpenAI Responses API and Anthropic Messages, so Claude Code, Codex, OpenCode, Cline, GitHub Copilot, Zed and other coding agents can point at it with a base URL and key. Its public catalog today is DeepSeek V4.1 Flash in two versions, standard and fast, both with a 1M token context window and up to 384K output tokens.
Example models: DeepSeek V4.1 Flash
Full OpenScale profileShould you choose Runware or OpenScale?
Runware vs OpenScale at a glance
| Attribute | Runware | OpenScale |
|---|---|---|
| Model access | Hosted media models | Open weights |
| Flagship models | Seedance 2.5, Qwen-Image-3.0 | DeepSeek V4.1 Flash |
| Speed | Unknown | 200+ tok/s; fast tier ~2x |
| Price | Images from fractions of a cent | $0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash) |
| Customization | Fine-tuned diffusion checkpoints | N/A |
| Deployment | Unified API, serverless GPUs, bare metal | Serverless API |
| Long context | Not applicable | 1M context |
Frequently asked questions
What is the difference between Runware and OpenScale?
Runware generates images, video, audio and 3D at low cost behind one schema. OpenScale sells cheap DeepSeek V4.1 Flash text inference.
When should I choose Runware over OpenScale?
Image and video generation at volume; Fine-tuned diffusion checkpoints; One schema across media types.
When should I choose OpenScale over Runware?
Cheap LLM text generation; Coding agent backends; Cache-heavy agent traffic.
Is Runware or OpenScale cheaper?
Runware: Images from fractions of a cent. OpenScale: $0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash). The cheaper choice depends on the model and workload.
Which has more context, Runware or OpenScale?
Runware: Not applicable. OpenScale: 1M context.
Related comparisons
Running long-horizon agents?
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.