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Baseten vs Crusoe Managed Inference: Token Pricing, Speed & Intelligence

Full comparison of Baseten and Crusoe Managed Inference — 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

Crusoe Managed Inference

Managed inference on Crusoe Cloud — DeepSeek V4, Gemma 4, GLM 5.1, Llama 3.3, Qwen3

Crusoe Managed Inference is the serverless LLM inference service from Crusoe Cloud, offering a curated catalog of open-weight models including DeepSeek V4 Pro/Flash, Gemma 4 31B, GLM 5.1, gpt-oss-120b, Llama 3.3 70B, and Qwen3 235B A22B. Crusoe Cloud is known for its clean-energy GPU infrastructure. Pricing is published at crusoe.ai/cloud/managed-inference.

Open-sourceCost-efficiencyClean energyReasoningChat
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

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$0.05

Cheapest output ($/1M)

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$0.20

Peak throughput

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—

Best latency (TTFT)

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—

Intelligence score

—

—

Context window

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128K

Live token pricing

Basetenlive pricing

No live pricing data available.

← Swipe to see all columns

ModelInputOutput
deepseek-v3-0324$0.50EST Oct 2026$1.50
deepseek-v4-flash$0.14EST Oct 2026$0.28
deepseek-v4-pro$1.74EST Oct 2026$3.48
gemma-4-31b$0.14EST Oct 2026$0.40
glm-5-1$1.20EST Oct 2026$4.40

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

Crusoe Managed Inference

Clean-energy GPU infrastructure — stranded and flared gas power
Curated open-weight model catalog: DeepSeek V4, Gemma 4, GLM 5.1, Llama 3.3, Qwen3
Competitive pricing on flagship open-weight models
OpenAI-compatible API
Backed by Crusoe Cloud's GPU compute infrastructure
Smaller model catalog than Together AI or Fireworks
No proprietary frontier models
Less mature inference platform than dedicated inference providers

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.

Crusoe Managed Inference

Managed inference on Crusoe Cloud's clean-energy GPU infrastructure — competitive pricing on DeepSeek V4, Gemma 4, GLM 5.1, and Qwen3 without managing GPU clusters.

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.

Crusoe Managed Inference FAQs

What is Crusoe Managed Inference?

Crusoe Managed Inference is the serverless LLM API from Crusoe Cloud, offering open-weight models including DeepSeek V4 Pro/Flash, Gemma 4 31B, GLM 5.1, gpt-oss-120b, Llama 3.3 70B, and Qwen3 235B A22B. See crusoe.ai/cloud/managed-inference for current rates.

How much does Crusoe Managed Inference cost?

As of October 2026: DeepSeek V3 0324 $0.50/$1.50, DeepSeek V4 Flash $0.14/$0.28, DeepSeek V4 Pro $1.74/$3.48, Gemma 4 31B $0.14/$0.40, GLM 5.1 $1.20/$4.40, gpt-oss-120b $0.05/$0.20, Llama 3.3 70B $0.25/$0.75, Qwen3 235B A22B 2507 $0.22/$0.80. See crusoe.ai/cloud/managed-inference for current rates.

Is Crusoe Cloud clean energy?

Yes. Crusoe Cloud is known for using stranded and flared gas to power its GPU infrastructure, reducing the carbon footprint of AI compute compared to conventional data centers.

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)

Crusoe Managed Inference

  • Clean-energy GPU infrastructure — stranded and flared gas power
  • Curated open-weight model catalog: DeepSeek V4, Gemma 4, GLM 5.1, Llama 3.3, Qwen3
  • Competitive pricing on flagship open-weight models
  • Smaller model catalog than Together AI or Fireworks
  • No proprietary 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

Crusoe Managed Inference

  • Smaller model catalog than Together AI or Fireworks
  • No proprietary frontier models
  • Less mature inference platform than dedicated inference providers

Provider category context

Baseten is a inference api, founded in 2019. Crusoe Managed Inference is a cloud, founded in 2020. 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 Crusoe Managed Inference if you need clean-energy gpu infrastructure — stranded and flared gas power. 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.