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Baseten vs FastInfra: Token Pricing, Speed & Intelligence

Full comparison of Baseten and FastInfra — 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.

ProductionOpen-sourceReasoningChinese NLPCost-efficiency
Open-weight hostHosts open weights

FastInfra

Inference platform + GPU pods — 785+ models, Amazon Nova, H200 capacity

FastInfra is a hybrid inference platform combining a model router (785+ models) with its own H200 GPU capacity. It offers Amazon Nova Lite and Nova Micro at very competitive rates, with prepaid credits from $5. Part inference router, part dedicated GPU cloud.

Cost-sensitive workloadsBroad model accessAmazon Nova inference
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

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
Custom deployment options — bring your own model or use the catalog
Production-grade SLAs and monitoring
Smaller catalog than Together AI or Fireworks
Less documentation for new users than major providers
Dedicated deployments require more setup than pure serverless

FastInfra

785+ models via router — broad catalog coverage
Own H200 GPU capacity for low-latency inference
Very competitive Amazon Nova Lite ($0.06/$0.25) and Nova Micro ($0.04/$0.15) rates
Prepaid from $5 — low barrier to entry
Newer provider — limited ecosystem integrations and third-party reviews
Hybrid router/own-capacity model means latency may vary by model
Limited benchmark transparency

Key differentiators

Baseten

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.

FastInfra

Hybrid inference platform with 785+ models via router and own H200 capacity, offering Amazon Nova at very competitive rates.

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.

FastInfra FAQs

What is FastInfra?

FastInfra is a hybrid inference platform combining a 785+ model router with its own H200 GPU capacity. It offers Amazon Nova Lite ($0.06/$0.25 per 1M tokens) and Nova Micro ($0.04/$0.15), with prepaid credits from $5. See fastinfra.ai/pricing for current rates.

Does FastInfra have its own GPU capacity?

Yes. FastInfra operates its own H200 GPU infrastructure alongside a model router, so some models run on dedicated capacity rather than being routed to third-party providers.

Provider resources

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.

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.

FastInfra — Inference platform + GPU pods — 785+ models, Amazon Nova, H200 capacity

FastInfra is a hybrid inference platform combining a model router (785+ models) with its own H200 GPU capacity. It offers Amazon Nova Lite and Nova Micro at very competitive rates, with prepaid credits from $5. Part inference router, part dedicated GPU cloud.

Hybrid inference platform with 785+ models via router and own H200 capacity, offering Amazon Nova at very competitive rates.

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

FastInfra

  • 785+ models via router — broad catalog coverage
  • Own H200 GPU capacity for low-latency inference
  • Very competitive Amazon Nova Lite ($0.06/$0.25) and Nova Micro ($0.04/$0.15) rates
  • Newer provider — limited ecosystem integrations and third-party reviews
  • Hybrid router/own-capacity model means latency may vary by model

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

FastInfra

  • Newer provider — limited ecosystem integrations and third-party reviews
  • Hybrid router/own-capacity model means latency may vary by model
  • Limited benchmark transparency

Provider category context

Baseten is a inference api, founded in 2019. FastInfra is a inference api, founded in 2024. 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 FastInfra 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.