Baseten vs Baseten: Token Pricing, Speed & Intelligence
Full comparison of Baseten and Baseten — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Baseten
Inference infrastructure for production ML — GLM, DeepSeek V4, Kimi K3, Nemotron, Muse
Baseten is a production ML inference platform offering dedicated and serverless GPU deployments for open-weight models. The catalog includes GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash, DeepSeek V4 Pro 0813, Kimi K3, Nemotron 3.5 Super VL, NVIDIA Nemotron 3 Ultra, GPT OSS 120B, and Muse Spark Open. Baseten is designed for teams that need reliable, low-latency inference with custom deployment options. Pricing is published at baseten.co/pricing.
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.
Key metric comparison
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Live token pricing
← Swipe to see all columns
| Model | Input | Output |
|---|---|---|
| GLM-5.3 | $1.40EST Oct 2026 | $4.40 |
| GLM-5.3 Fast | $2.10EST Oct 2026 | $6.60 |
| GLM-5.3-Flash | $0.15EST Oct 2026 | $0.50 |
| GLM-5.2 | $1.40EST Oct 2026 | $4.40 |
| GLM-5.2 Fast | $2.10EST Oct 2026 | $6.60 |
← Swipe to see all columns
| Model | Input | Output |
|---|---|---|
| GLM-5.3 | $1.40EST Oct 2026 | $4.40 |
| GLM-5.3 Fast | $2.10EST Oct 2026 | $6.60 |
| GLM-5.3-Flash | $0.15EST Oct 2026 | $0.50 |
| GLM-5.2 | $1.40EST Oct 2026 | $4.40 |
| GLM-5.2 Fast | $2.10EST Oct 2026 | $6.60 |
Strengths and weaknesses
Baseten
Baseten
Key differentiators
Production ML inference infrastructure with dedicated GPU deployments — GLM-5.3, DeepSeek V4.1, Kimi K3, and Nemotron with Fast variants for throughput-optimised workloads.
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.
Frequently asked questions
Baseten FAQs
What is Baseten?
Baseten is a production ML inference platform offering dedicated and serverless GPU deployments for open-weight models including GLM-5.3, DeepSeek V4.1 Flash, Kimi K3, Nemotron, and Muse Spark Open. See baseten.co/pricing for current rates.
What models does Baseten offer?
Baseten's catalog includes GLM-5.3, GLM-5.3 Fast, GLM-5.3-Flash, GLM-5.2, GLM-5.2 Fast, DeepSeek V4.1 Flash, DeepSeek V4.1 Flash Fast, DeepSeek V4 Pro 0813, Kimi K3, Nemotron 3.5 Super VL, NVIDIA Nemotron 3 Ultra, GPT OSS 120B, and Muse Spark Open. See baseten.co/pricing for current rates.
How much does Baseten cost?
As of October 2026: GLM-5.3 $1.40/$4.40, GLM-5.3 Fast $2.10/$6.60, GLM-5.3-Flash $0.15/$0.50, DeepSeek V4.1 Flash $0.30/$1.20, DeepSeek V4 Pro 0813 $1.32/$3.96, Kimi K3 $3.00/$15.00, Nemotron 3.5 Super VL $0.20/$0.50, GPT OSS 120B $0.10/$0.50. See baseten.co/pricing for current rates.
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.
Provider resources
Key strengths compared
Baseten
- Dedicated GPU deployments for production reliability and consistent latency
- GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash/Pro, Kimi K3, Nemotron, Muse Spark Open
- Fast and Fast variants for throughput-optimised inference
- Smaller catalog than Together AI or Fireworks
- Less documentation for new users than major providers
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)
Key weaknesses compared
Baseten
- Smaller catalog than Together AI or Fireworks
- Less documentation for new users than major providers
- Dedicated deployments require more setup than pure serverless
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
Provider category context
Baseten is a inference api, founded in 2019. Baseten is a inference api, founded in 2019. 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 Baseten 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.