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Baseten vs DeepSeek: Token Pricing, Speed & Intelligence

Full comparison of Baseten and DeepSeek — 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.

Custom model deploymentFine-tuned modelsML infrastructureProduction servingOpen-weight models
Open-weight hostHosts open weights

DeepSeek

DeepSeek V4 Pro and V4.1-Flash — 1M context, open-weight, peak/off-peak pricing

DeepSeek's September 2026 API offers two models: DeepSeek V4 Pro (deepseek-v4-pro-0813, frontier) and DeepSeek V4.1-Flash (deepseek-flash, efficient). Peak hours (01:00–10:00 UTC weekdays) are 2× the off-peak rate. Both models support 1M token context, JSON output, tool calls, and the Anthropic API format.

Cost-efficiencyReasoningCodingOpen-sourceSelf-hostingLong-context
Proprietary models

Key metric comparison

Cheapest input ($/1M)

—

$0.03

Cheapest output ($/1M)

—

$0.03

Peak throughput

—

300 tok/s

Best latency (TTFT)

—

200ms

Intelligence score

—

88/100

Context window

—

1000K

Live token pricing

Basetenlive pricing

No live pricing data available.

DeepSeeklive pricing

← Swipe to see all columns

ModelInputOutput
deepseek-chat$0.27EST Jul 2026$1.10
deepseek-reasoner$0.55EST Jul 2026$2.19
deepseek-v3-0324$0.27EST Jul 2026$1.10
deepseek-r1-distill-llama-70b$0.23EST Jul 2026$0.69
deepseek-v3.1$0.27EST Jul 2026$1.00

Strengths and weaknesses

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
Autoscaling including scale-to-zero for cost efficiency
Truss open-source packaging format for reproducible model deployments
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

DeepSeek

V4 Pro off-peak: competitive per-1M pricing — frontier intelligence at a fraction of Western provider cost
V4.1-Flash off-peak: fast and cost-efficient — cheapest DeepSeek model tier
Both models open-weight — can be self-hosted
Peak/off-peak pricing: off-peak is 50% cheaper than peak
1M token context window on both models
Supports OpenAI and Anthropic API formats
Data residency in China — may not meet GDPR/compliance requirements
API reliability can lag Western providers during peak demand
V4.1-Flash does not support vision inputs

Key differentiators

Baseten

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.

DeepSeek

DeepSeek V4 Pro delivers frontier-class intelligence at competitive off-peak rates — open-weight, 1M context, and compatible with both OpenAI and Anthropic SDKs.

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.

DeepSeek FAQs

What are the latest DeepSeek models?

DeepSeek's September 2026 API offers DeepSeek V4 Pro (deepseek-v4-pro-0813) and DeepSeek V4.1-Flash (deepseek-flash). Both support 1M token context windows, JSON output, tool calls, and the Anthropic API format.

What is DeepSeek V4 Pro pricing?

DeepSeek V4 Pro uses peak/off-peak pricing — off-peak rates apply on weekends and Chinese public holidays; peak hours (01:00–10:00 UTC weekdays) are 2× the off-peak rate. Cache hits are billed at a reduced rate. Check api-docs.deepseek.com/quick_start/pricing for current rates.

What is DeepSeek V4.1-Flash pricing?

DeepSeek V4.1-Flash uses the same peak/off-peak structure as V4 Pro, with off-peak rates significantly cheaper than peak. It also supports vision inputs. Check api-docs.deepseek.com/quick_start/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)

DeepSeek

  • V4 Pro off-peak: competitive per-1M pricing — frontier intelligence at a fraction of Western provider cost
  • V4.1-Flash off-peak: fast and cost-efficient — cheapest DeepSeek model tier
  • Both models open-weight — can be self-hosted
  • Data residency in China — may not meet GDPR/compliance requirements
  • API reliability can lag Western providers during peak demand

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

DeepSeek

  • Data residency in China — may not meet GDPR/compliance requirements
  • API reliability can lag Western providers during peak demand
  • V4.1-Flash does not support vision inputs

Provider category context

Baseten is a inference api, founded in 2019. DeepSeek is a frontier lab, founded in 2023. Baseten as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. DeepSeek as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.

How to choose between them

Choose Baseten if you need full control over model serving: custom preprocessing, postprocessing, and business logic. Choose DeepSeek if you need v4 pro off-peak: competitive per-1m pricing — frontier intelligence at a fraction of western provider cost. 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.