Runware vs General Compute

Runware is a low-cost API for image, video and audio generation. General Compute is a fast text inference cloud on ASIC decode.

By The Subconscious Team · Updated October 27, 2026

Runware vs General Compute: key differences

Runware puts 300+ priced media models behind one request schema, with images from fractions of a cent and video like Seedance 2.5 at about $0.10 a second at 480p. It runs on its own Sonic Inference Pods and sells serverless GPUs from $1.60 a GPU-hour and bare-metal clusters from 72 GPUs. General Compute serves open LLMs such as MiniMax M2.7 at $0.28 in and $1.20 out per million tokens, with GPUs on prefill and Cerebras, SambaNova and other ASICs on decode. In its own benchmark it measured over 1,000 tokens per second on GPT-OSS 120B.

The overlap is small. Runware is the pick for generating images, video, audio or 3D at volume, and LLM hosting is a side line for it. General Compute is the pick for fast text generation in agent loops, voice agents or real-time chat, or for reserved ASIC capacity under contract.

What Runware and General Compute 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 profile

General Compute

General Compute is a San Francisco inference cloud built on alternative chips. It splits each request across hardware, with NVIDIA GPUs handling prefill and ASICs from Cerebras, SambaNova, Positron AI and d-Matrix handling decode. In its own open benchmark on GPT-OSS 120B it measured 1,025 to 1,234 output tokens per second against 100 to 121 on an unnamed GPU cloud, and up to 16.2x faster end to end. Founders Finn Puklowski and Jason Goodison raised a $15M seed led by FUSE, an up to $400M debt facility from Upper90 and, on October 27, 2026, a $100M Series A co-led by Blackbird and Abstract.

Example models: MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B

Full General Compute profile

Should you choose Runware or General Compute?

Runware

Choose Runware for

High-volume image and video generation
One schema across media models
Per-second serverless GPUs

General Compute

Choose General Compute for

Fast LLM text generation
Voice agents and real-time chat
Reserved ASIC capacity

Runware vs General Compute at a glance

Attribute	Runware	General Compute
Model access	Hosted media models	Open weights
Flagship models	Seedance 2.5, Qwen-Image-3.0	MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B
Speed	Unknown	1,000+ tok/s on GPT-OSS 120B (vendor)
Price	Images from fractions of a cent	$0.21–$0.28 in, $0.38–$1.20 out per 1M
Customization	Fine-tuned diffusion checkpoints	Custom LoRA and fine-tuned checkpoints
Deployment	Unified API, serverless GPUs, bare metal	Serverless API, dedicated racks, bare metal
Long context	Not applicable	192K (MiniMax M2.7)

Frequently asked questions

What is the difference between Runware and General Compute?

Runware is a low-cost API for image, video and audio generation. General Compute is a fast text inference cloud on ASIC decode.

When should I choose Runware over General Compute?

High-volume image and video generation; One schema across media models; Per-second serverless GPUs.

When should I choose General Compute over Runware?

Fast LLM text generation; Voice agents and real-time chat; Reserved ASIC capacity.

Is Runware or General Compute cheaper?

Runware: Images from fractions of a cent. General Compute: $0.21–$0.28 in, $0.38–$1.20 out per 1M. The cheaper choice depends on the model and workload.

Which has more context, Runware or General Compute?

Runware: Not applicable. General Compute: 192K (MiniMax M2.7).

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.

Subconscious vs Runware Subconscious vs General Compute