Baseten vs Novita AI: Token Pricing, Speed & Intelligence
Full comparison of Baseten and Novita AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Baseten
Production ML infrastructure — deploy any model with custom serving, autoscaling, and GPU selection
Baseten is a production ML infrastructure platform for deploying custom and open-weight models with full control over serving configuration, GPU selection, autoscaling, and cold-start behavior. Unlike managed inference APIs, Baseten lets you bring your own model weights, custom preprocessing, and serving logic. It supports Truss (Baseten's open-source model packaging format), vLLM, TensorRT-LLM, and custom Python serving code. Ideal for teams that need more control than a managed API but less overhead than raw Kubernetes.
Novita AI
200+ models — DeepSeek V4.1 Flash, Kimi K3, Kling v3.0 video, agent sandbox
Novita AI offers 200+ models across text, image, video, and audio. Text models include DeepSeek V4.1 Flash, DeepSeek V4 Pro, Kimi K3, Qwen3.8 Flash, MiniMax M3, and GLM 5.3. Video: Kling v3.0 Pro and Wan 2.7. Audio: Fish Audio TTS. Agent sandbox for multi-step agentic workflows. 50% batch discount on supported models. Check novita.ai/pricing for current rates.
Key metric comparison
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$0.20
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$0.60
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210 tok/s
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320ms
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85/100
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164K
Live token pricing
Strengths and weaknesses
Baseten
Novita AI
Key differentiators
The production ML platform that gives you managed-API convenience with custom-serving flexibility — deploy any model with your own preprocessing logic, GPU selection, and autoscaling without managing Kubernetes.
The most complete budget multimodal platform — 200+ models spanning text, image, video (Kling v3.0, Wan 2.7), and audio, with an agent sandbox and 50% batch discounts.
Frequently asked questions
Baseten FAQs
What is Baseten?
Baseten is a production ML infrastructure platform for deploying AI models with custom serving logic, GPU selection, and autoscaling. It supports any open-weight model or custom fine-tune via the Truss packaging format.
How does Baseten differ from Together AI or Replicate?
Baseten gives you full control over the serving stack — custom preprocessing, postprocessing, GPU selection, and autoscaling behavior. Together AI and Replicate are managed APIs with fixed serving; Baseten is for teams that need custom model serving logic.
What GPUs does Baseten support?
Baseten supports H100 SXM, H100 PCIe, A100 80GB, A10G, and T4 GPUs with per-second billing. You select the GPU type per deployment based on your model's memory and throughput requirements.
Novita AI FAQs
What models does Novita AI support in 2026?
Novita AI hosts 200+ models including DeepSeek V4.1 Flash, DeepSeek V4 Pro, Kimi K3, Qwen3.8 Flash, GLM 5.3, MiniMax M3, and many others across text, image, video, and audio. Check novita.ai/pricing for current rates.
What video generation models does Novita AI offer?
Novita AI offers Kling v3.0 Pro, Kling v3.0 Standard, Wan 2.7, Minimax Hailuo 2.3, and more. Check novita.ai/pricing for current rates.
Does Novita AI offer batch inference discounts?
Yes. Novita AI offers a 50% introductory discount on input and output tokens for batch inference on supported models.
Provider resources
Key strengths compared
Baseten
- Full control over model serving: custom preprocessing, postprocessing, and business logic
- Bring your own weights — deploy any HuggingFace model or custom fine-tune
- GPU selection: H100, A100, A10G, T4 with per-second billing
- More setup required than managed APIs — not a drop-in OpenAI replacement
- Cold starts on scale-to-zero deployments (configurable warm pool available)
Novita AI
- 200+ models: text, image, video (Kling v3.0, Wan 2.7), audio (Fish Audio TTS)
- DeepSeek V4.1 Flash — competitive pricing
- Kling v3.0 Pro video generation
- Less established than larger inference providers
- Throughput and latency not optimised for real-time use
Key weaknesses compared
Baseten
- More setup required than managed APIs — not a drop-in OpenAI replacement
- Cold starts on scale-to-zero deployments (configurable warm pool available)
- Pricing is higher than shared inference APIs for low-volume workloads
Novita AI
- Less established than larger inference providers
- Throughput and latency not optimised for real-time use
- No fine-tuning support
Provider category context
Baseten is a inference api, founded in 2019. 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 Baseten 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.