

HeyGen
How a leading AI video platform unlocked new product capabilities by replacing expensive managed providers with a single, cost-effective inference API.
The same open models, billed per token at one price with no service tiers, plus image, video and audio on the same API.
The same open LLMs and FLUX image models, per token and per image.
DeepInfra prices from deepinfra.com/pricing (Standard tier), 11 Oct, 2026. Runware prices from runware.ai model pages, 22 Oct, 2026. Per 1M tokens (LLMs) or per 1024×1024 image (FLUX); ~ marks a DeepInfra formula price worked out at that size.
Add the models you run, set monthly tokens or images, and see the same month on Runware and on DeepInfra.
Add the ones you run, set a monthly volume, and see the two bills side by side.
Add models to build your estimate.
The tables here cover the models both platforms list. Every language model on Runware, with its per-token rate, is on the pricing page.
The same per-token API for open LLMs, at one price with no tiers, and 400K+ image, video, audio and 3D models behind the same key.
Three values change: the base URL, the API key and the model id. The OpenAI SDK, the request shape and the streaming format stay as they are.
DeepInfra's OpenAI-compatible endpoint and Runware's accept the same request. Keep the OpenAI SDK and change base_url.
Create a key in the Runware dashboard and put it where the DeepInfra key was.
Runware ids are AIR ids, listed on every model page: deepseek-ai/DeepSeek-V4-Pro becomes deepseek:v4@pro.
from openai import OpenAI
client = OpenAI(
api_key="your_runware_api_key",
base_url="https://api.runware.ai/v1",
)
response = client.chat.completions.create(
model="deepseek:v4@pro",
messages=[{"role": "user", "content": "Hi"}],
stream=True,
)Lower bill, one API for every modality. Here's what moving to Runware looked like for teams shipping at production scale.


How a leading AI video platform unlocked new product capabilities by replacing expensive managed providers with a single, cost-effective inference API.


How OpenArt achieved sub-second image generation at scale with Runware's Sonic Engine.

How a fast-growing video generation startup deployed a major model release in hours.


How NightCafe scaled their AI art community without hiring a single infrastructure engineer.
Yes. Runware serves the same open LLMs, DeepSeek, Kimi and Gemma among them, per token through an OpenAI-compatible endpoint, with Claude and Gemini on the same key. The same account also runs 400K+ image, video, audio and 3D models.
Per 1M tokens: DeepSeek-V4-Pro-0423 is 26% lower on input and output; Kimi K2.6 is 20% lower on input and 13% on output; Gemma 4 31B is 49% lower on input and 26% on output. DeepInfra prices are from deepinfra.com/pricing (Standard tier) on 11 Oct, 2026; Runware prices are read from our model pages.
Both list DeepSeek V4 Pro and V4 Flash, Kimi K2.6 and K3, Gemma 4 31B, and the Claude and Gemini families. DeepInfra also lists Qwen and Llama, embeddings and speech-to-text; Runware lists gpt-oss-120b, GLM, MiniMax, Grok and GPT, plus everything that is not text. Check the model directory for the model you run.
If you call DeepInfra through its OpenAI-compatible endpoint, yes. Runware's /v1/chat/completions speaks the same protocol, streaming included. Change the base URL, the API key and the model id; see the compatibility reference.
No tiers. Every request is scheduled the same way at the listed price; DeepInfra lists Standard at 1x, Priority at 1.5x and Flex at 0.8x. Runware's per-organisation rate limit sits far above typical traffic, and a request over it returns a 429 with Retry-After. Need more? Talk to us.
Yes. The same API key runs FLUX and 400K+ other image, video, audio and 3D models, billed per image or per second on the same account.
Everything above is our published rate. Running billions of tokens a month? Talk to us about volume pricing.