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Fireworks AI vs Runware
Runware is a low-cost media generation API; Fireworks is a fast host for open language models. They split an app's workload rather than compete for it.
By The Subconscious Team · Updated
Fireworks AI vs Runware: key differences
Runware's core business is media. One request schema covers image, video, audio and 3D, and its rate sheet lists 300+ priced models, 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 Engine hardware, which Runware says cuts capital cost 90% against a traditional data center. Fireworks' core business is language. It hosts 400+ models, mostly open LLMs plus vision, audio and embeddings, and posts 167 to 174 tokens per second on DeepSeek V4 Pro.
Runware does offer text, but its own profile calls LLM hosting a side line and says text workloads fit better elsewhere. Fireworks does not list image or video generation. Custom models split the same way: Runware runs fine-tuned diffusion checkpoints and community models at scale, while Fireworks fine-tunes language models with SFT, DPO and RL. Raw GPUs cost $2.76 an hour for an H100 on Runware against $8 dedicated on Fireworks. A consumer app that chats and generates images would likely route text to Fireworks and media to Runware, storing Runware outputs itself since URLs expire after seven days.
What Fireworks AI and Runware do
Fireworks AI
Fireworks AI was founded in 2022 by former Meta PyTorch engineers led by CEO Lin Qiao, and it sells speed on open models. Its custom serving stack has posted 167 to 174 tokens per second on DeepSeek V4 Pro in third-party measurements, several times what most GPU peers hit on the same model. The catalog holds 400+ models across text, vision, audio and embeddings, served through an OpenAI-compatible API. In July 2026 it raised a $1.505B Series D at a $17.5B valuation, with a reported $1B+ run rate and 40T+ tokens a day.
Example models: DeepSeek V4 Pro, Kimi K3
Full Fireworks AI profileRunware
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 profileShould you choose Fireworks AI or Runware?
Fireworks AI
Choose Fireworks AI for
- Chat, agents and tool calling on open LLMs
- Fine-tuning a language model with RL
- Text workloads needing SOC 2 or HIPAA
Runware
Choose Runware for
- High-volume image or short video generation at low cost
- Serving fine-tuned diffusion or community checkpoints
- Per-second raw GPUs for media jobs
Fireworks AI vs Runware at a glance
| Attribute | Fireworks AI | Runware |
|---|---|---|
| Model access | Open weights | Hosted media models |
| Flagship models | DeepSeek V4 Pro, Kimi K3 | Seedance 2.5, Qwen-Image-3.0 |
| Speed | 167–174 tok/s on DeepSeek V4 Pro | Unknown |
| Price | Fine-tunes served at base price | Images from fractions of a cent |
| Customization | SFT, DPO, RFT; Training API | Fine-tuned diffusion checkpoints |
| Deployment | Serverless, dedicated GPUs | Unified API, raw GPUs |
| Long context | Full 1M on DeepSeek V4 Pro | Not applicable |
Frequently asked questions
What is the difference between Fireworks AI and Runware?
Runware is a low-cost media generation API; Fireworks is a fast host for open language models. They split an app's workload rather than compete for it.
When should I choose Fireworks AI over Runware?
Chat, agents and tool calling on open LLMs; Fine-tuning a language model with RL; Text workloads needing SOC 2 or HIPAA.
When should I choose Runware over Fireworks AI?
High-volume image or short video generation at low cost; Serving fine-tuned diffusion or community checkpoints; Per-second raw GPUs for media jobs.
Is Fireworks AI or Runware cheaper?
Fireworks AI: Fine-tunes served at base price. Runware: Images from fractions of a cent. The cheaper choice depends on the model and workload.
Which has more context, Fireworks AI or Runware?
Fireworks AI: Full 1M on DeepSeek V4 Pro. Runware: Not applicable.
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