vs

Modal vs Novita AI

Novita AI sells 200+ hosted models cheaply plus a GPU cloud. Modal sells a polished Python serverless GPU platform with no catalog. Cheap breadth versus developer experience.

By The Subconscious Team · Updated

Modal vs Novita AI: key differences

Novita AI covers both halves of what Modal does only one of. Its serverless API serves 200+ open models from $0.02 per million tokens, batch runs at 50% off, and a GPU cloud offers instances from RTX 3090s to H200s, serverless GPU that scales to zero and spot pricing up to 50% off. It also runs an Agent Sandbox on Firecracker microVMs. Modal skips the catalog. It is serverless compute for Python with GPUs from T4 to B300, per-second billing and a free Starter plan with $30 of monthly credits.

If the goal is cheap tokens on popular open models, Novita is the direct route, since Modal has no per-token product. Modal wins on developer experience: one decorator ships a GPU service, and inference, fine-tuning, batch and agent sandboxes share one platform. Novita's gaps are enterprise ones: looser serverless SLAs, Discord-based support and no public SOC 2 or HIPAA. Modal's gap is price at production scale, with non-preemptible US capacity near $14.81 an hour for an H100.

What Modal and Novita AI do

Modal

Modal is serverless compute with GPUs attached. A developer decorates a Python function with the hardware it needs, such as gpu="H100", and Modal builds the container, schedules it, autoscales it and scales it back to zero. Billing runs per second with no minimum increment, from $0.59 an hour for a T4 to $3.95 for an H100 at list. Containers can hold up to 8 GPUs across T4 through B300.

Example models: none hosted by default; teams deploy their own, such as open LLMs on vLLM or Whisper

Full Modal profile

Novita AI

Novita AI is a San Francisco inference cloud founded in late 2023 by Frank Lewis and Junyu Huang, and it competes on price and breadth. Its serverless API covers 200+ open models across LLMs, image, video, speech, voice cloning and embeddings, with LLM prices starting at $0.02 per million tokens. The API speaks both OpenAI and Anthropic formats. It became an official Hugging Face Inference Partner in April 2026 and was the day-zero launch partner for Google's Gemma 4.

Example models: DeepSeek V4 Pro, Gemma 4

Full Novita AI profile

Should you choose Modal or Novita AI?

Modal

Choose Modal for

  • Python teams shipping custom GPU services fast.
  • Fine-tuning and batch jobs on one platform.
  • Workloads with no suitable hosted model.

Novita AI

Choose Novita AI for

  • Cheap per-token access to 200+ open models.
  • Multimodal catalogs with day-zero open-model support.
  • Spot GPUs up to 50% off.

Modal vs Novita AI at a glance

AttributeModalNovita AI
Model accessBring your own weightsOpen weights
Flagship modelsNone hostedDeepSeek V4 Pro, Gemma 4
Speed~1s container boot~36 tok/s on DeepSeek V4 Pro
PricePer second; H100 $3.95/hr listFrom $0.02 per 1M; batch 50% off
CustomizationRun any training codeHot-swappable LoRA adapters
DeploymentServerless GPU containersServerless, GPU cloud, dedicated
Long contextDepends on the model you deployFull 1M on DeepSeek V4 Pro

Frequently asked questions

What is the difference between Modal and Novita AI?

Novita AI sells 200+ hosted models cheaply plus a GPU cloud. Modal sells a polished Python serverless GPU platform with no catalog. Cheap breadth versus developer experience.

When should I choose Modal over Novita AI?

Python teams shipping custom GPU services fast; Fine-tuning and batch jobs on one platform; Workloads with no suitable hosted model.

When should I choose Novita AI over Modal?

Cheap per-token access to 200+ open models; Multimodal catalogs with day-zero open-model support; Spot GPUs up to 50% off.

Is Modal or Novita AI cheaper?

Modal: Per second; H100 $3.95/hr list. Novita AI: From $0.02 per 1M; batch 50% off. The cheaper choice depends on the model and workload.

Which has more context, Modal or Novita AI?

Modal: Depends on the model you deploy. Novita AI: Full 1M on DeepSeek V4 Pro.

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.