Baseten vs DigitalOcean Gradient AI: Token Pricing, Speed & Intelligence
Full comparison of Baseten and DigitalOcean Gradient 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.
DigitalOcean Gradient AI
Serverless inference on Gradient AI — Claude, GPT-5, DeepSeek V4, Kimi K2.6, Qwen 3.5, Llama 4
DigitalOcean Gradient AI is the serverless LLM inference platform from DigitalOcean, offering access to frontier and open-weight models including Claude Sonnet 4.6, Claude Haiku 4.5, Claude Opus 4.7, GPT-5.4, GPT-5.4 mini, GPT-5, GPT-4.1, GPT-4o, gpt-oss-120b, gpt-oss-20b, DeepSeek V4 Pro/Flash, Kimi K2.6, GLM-5.1, Qwen 3.5 397B A17B, Llama 4 Maverick, and MiMo V2.5 Pro. Pricing is published at docs.digitalocean.com/products/gradient-ai-platform/details/pricing.
Key metric comparison
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Live token pricing
No live pricing data available.
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| Model | Input | Output |
|---|---|---|
| claude-sonnet-4-6 | $3.00EST Oct 2026 | $15.00 |
| claude-haiku-4-5 | $1.00EST Oct 2026 | $5.00 |
| claude-opus-4-7 | $5.00EST Oct 2026 | $25.00 |
| gpt-5-4 | $2.50EST Oct 2026 | $15.00 |
| gpt-5-4-mini | $0.75EST Oct 2026 | $4.50 |
Strengths and weaknesses
Baseten
DigitalOcean Gradient 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.
DigitalOcean's developer-friendly platform extended to LLM inference — frontier models (Claude, GPT-5) alongside open-weight models (DeepSeek V4, Kimi K2.6, Llama 4) under one billing account.
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.
DigitalOcean Gradient AI FAQs
What is DigitalOcean Gradient AI?
DigitalOcean Gradient AI is DigitalOcean's serverless LLM inference platform, offering frontier and open-weight models including Claude, GPT-5, DeepSeek V4, Kimi K2.6, and Llama 4 Maverick. See docs.digitalocean.com/products/gradient-ai-platform/details/pricing for current rates.
What models does DigitalOcean Gradient AI offer?
The catalog includes Claude Sonnet 4.6, Claude Haiku 4.5, Claude Opus 4.7, GPT-5.4, GPT-5.4 mini, GPT-5, GPT-4.1, GPT-4o, gpt-oss-120b, gpt-oss-20b, DeepSeek V4 Pro/Flash, Kimi K2.6, GLM-5.1, Qwen 3.5 397B A17B, Llama 4 Maverick, and MiMo V2.5 Pro.
How much does DigitalOcean Gradient AI cost?
As of October 2026: Claude Sonnet 4.6 $3/$15, Claude Haiku 4.5 $1/$5, Claude Opus 4.7 $5/$25, GPT-5.4 $2.50/$15, GPT-5.4 mini $0.75/$4.50, GPT-5 $1.25/$10, GPT-4.1 $2/$8, GPT-4o $2.50/$10. See docs.digitalocean.com/products/gradient-ai-platform/details/pricing for current rates.
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)
DigitalOcean Gradient AI
- Frontier model access: Claude Opus 4.7, GPT-5.4, GPT-5 via serverless inference
- Broad catalog: Claude, GPT, DeepSeek V4, Kimi K2.6, Qwen 3.5, Llama 4 Maverick
- DigitalOcean's developer-friendly platform and billing
- Resells frontier models — no proprietary models
- Pricing may be higher than direct provider APIs for frontier models
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
DigitalOcean Gradient AI
- Resells frontier models — no proprietary models
- Pricing may be higher than direct provider APIs for frontier models
- Newer inference platform — less mature than dedicated inference providers
Provider category context
Baseten is a inference api, founded in 2019. DigitalOcean Gradient AI is a cloud, founded in 2012. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.
How to choose between them
Choose Baseten if you need full control over model serving: custom preprocessing, postprocessing, and business logic. Choose DigitalOcean Gradient AI if you need frontier model access: claude opus 4.7, gpt-5.4, gpt-5 via serverless inference. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.