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Novita AI Review: Pricing & Comparison

200+ open-source models, dedicated image generation, low-cost global inference

Last verified: 2026-07-04 · Visit official site →

Novita AI: a low-cost arsenal for creative-tool developers

If you’re building AI image-generation applications — Stable Diffusion workflows, LoRA character consistency, FLUX stylization — Novita AI (novita.ai) is very likely a platform worth getting to know.

Novita AI positions itself as a low-cost aggregated inference platform for open-source models, covering 200+ text models and image-generation models, with a particular emphasis on depth of image-generation coverage: not just basic SDXL, but community-trained LoRAs, ControlNet, and IP-Adapter can all be called directly through the Novita API, at prices below cloud providers like AWS.

The image-generation API: more than just SDXL

Novita AI’s image-generation coverage includes:

The FLUX series: FLUX.1-dev, FLUX.1-schnell — currently the highest-quality open-source image-generation model family

Stable Diffusion: SDXL Base, Turbo, plus a large number of stylized checkpoints

LoRA support: load community LoRAs for character consistency and style transfer without needing to stand up your own inference service

ControlNet: fine-grained controls like pose control and line-art colorization

import requests

response = requests.post(
    "https://api.novita.ai/v3/async/txt2img",
    headers={
        "Authorization": "Bearer your Novita API key",
        "Content-Type": "application/json"
    },
    json={
        "model_name": "flux1-dev",
        "prompt": "a futuristic city at sunset, cinematic lighting",
        "width": 1024,
        "height": 1024,
        "steps": 20,
        "guidance_scale": 3.5
    }
)
task_id = response.json()["task_id"]

Text models

Beyond image generation, Novita AI also offers API inference for 200+ open-source text models:

from openai import OpenAI

client = OpenAI(
    api_key="your Novita API key",
    base_url="https://api.novita.ai/v3/openai"
)

response = client.chat.completions.create(
    model="meta-llama/llama-4-scout",
    messages=[{"role": "user", "content": "Write the opening of a sci-fi short story"}]
)

Price comparison

Novita AI’s text-inference pricing sits in the low-price bracket among comparable open-source model platforms, roughly on par with DeepInfra and Together AI, while its image-generation pricing undercuts Replicate.

If you only need text generation and care most about the lowest price, DeepInfra is worth comparing. If you also need to deploy custom models, Replicate has a more mature ecosystem.

Information verified 2026-07-04. Check novita.ai’s official site for the current model list and pricing — image-generation models get updated fairly often.

  • SBGPT: exchange rate of ¥0.4-0.6/USD, Azure-grouped, a top pick for rock-bottom pricing
  • DeepSeek: DeepSeek’s official API, with V4-series pricing that upended the market and strong reasoning ability
  • Fal AI: the Flux family for ultra-fast image generation, LoRA fine-tuning, a top pick for creative AI workflows
  • Martian: a pioneer in commercial LLM routing, dynamically balancing cost against quality, the top choice for production-environment optimization

Quick facts

Pricing modelBilled by token/image, no monthly fee; open-source models billed by usage; image generation billed per image
Model coverage200+ text models including Llama/Qwen/Mistral, plus Stable Diffusion/FLUX/LoRA image generation
Latency / SLAGlobal CDN, multi-region nodes, automatic load balancing
Mainland direct connectProxy required
Best forDevelopers
Referral programNo public affiliate/referral program found

Pros

  • Comprehensive image-generation model coverage: FLUX.1, Stable Diffusion XL, and a wide range of LoRAs, all in one place, at very low prices
  • 200+ text and image models under one unified API, cutting the cost of juggling multiple platforms
  • Auto-scaling with no cold-start issues, well suited to creative tools with bursty traffic

Cons

  • Focused on open-source models — no Claude/GPT or other closed-source flagship models
  • Requires a proxy from mainland China, adding latency
  • Some less-common models respond slower than platforms dedicated to a single model

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