Lepton AI vs Novita AI: Token Pricing, Speed & Intelligence
Full comparison of Lepton AI and Novita AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
Lepton AI
Serverless LLM inference with a developer-first API
Lepton AI offers serverless inference for popular open-weight models with a clean developer experience. Their platform supports Llama 3.3 and other leading open-source models with competitive per-token pricing and low-latency endpoints. A good choice for developers who want simple, scalable inference without infrastructure management.
Novita AI
Budget-friendly open-source inference with broad model selection
Novita AI offers some of the lowest per-token prices for open-weight model inference, making it attractive for high-volume or cost-sensitive workloads. They host Llama 3.3 and other popular models with a straightforward API compatible with the OpenAI SDK.
Key metrics
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Live token pricing
Strengths & weaknesses
Lepton AI
Novita AI
Key differentiators
Frequently asked questions
Lepton AI FAQs
What models does Lepton AI support?
Lepton AI hosts Llama 3.3 70B and other popular open-weight models. Their catalog is focused on the most widely-used models rather than breadth.
How does Lepton AI pricing compare to competitors?
Lepton AI offers competitive pricing on Llama 3.3 70B, comparable to Together AI and Fireworks AI. Check their pricing page for current rates.
Is Lepton AI good for production workloads?
Lepton AI is suitable for production workloads with auto-scaling and serverless infrastructure. For very high-volume or latency-critical production use cases, Groq or Cerebras may offer better performance.
Novita AI FAQs
How cheap is Novita AI?
Novita AI is among the most affordable inference providers for open-weight models, often offering lower prices than Together AI or Fireworks AI. Exact pricing varies by model — check their pricing page for current rates.
What models does Novita AI support?
Novita AI hosts Llama 3.3 70B and a broad selection of other open-weight models. Their catalog focuses on popular, widely-used models.
Is Novita AI good for production use?
Novita AI is well-suited for cost-sensitive production workloads where price is the primary concern. For latency-critical or high-reliability production use, providers like Fireworks AI or Together AI may be more appropriate.
Provider resources
Lepton AI — Serverless LLM inference with a developer-first API
Lepton AI offers serverless inference for popular open-weight models with a clean developer experience. Their platform supports Llama 3.3 and other leading open-source models with competitive per-token pricing and low-latency endpoints. A good choice for developers who want simple, scalable inference without infrastructure management.
The simplest serverless inference API for open-weight models — minimal setup, auto-scaling, and a clean developer experience.
Novita AI — Budget-friendly open-source inference with broad model selection
Novita AI offers some of the lowest per-token prices for open-weight model inference, making it attractive for high-volume or cost-sensitive workloads. They host Llama 3.3 and other popular models with a straightforward API compatible with the OpenAI SDK.
Consistently among the lowest per-token prices for open-weight model inference — the go-to choice for cost-sensitive, high-volume workloads.
Key strengths compared
Lepton AI
- ▸Clean developer experience with minimal setup
- ▸Serverless — no infrastructure management
- ▸Competitive pricing on Llama 3.3 models
Novita AI
- ▸Among the lowest per-token prices for open-weight models
- ▸Broad model selection including Llama 3.3 and others
- ▸OpenAI-compatible API
Provider category context
Lepton AI is a inference api, founded in 2023. Novita AI is a inference api, founded in 2023. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.
How to choose between them
Both Lepton AI and Novita AI host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.