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Baseten vs Upstage: Token Pricing, Speed & Intelligence

Full comparison of Baseten and Upstage — 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

Upstage

Solar Pro 4, Solar Pro 3, Solar Pro 2 — Korean frontier models with strong multilingual performance

Upstage is a Korean AI company offering the Solar model family via API. Solar Pro 4 is the current flagship, with Solar Pro 3 and Solar Pro 2 available at lower price points. The Solar models are known for strong multilingual performance, particularly in Korean and English, and competitive pricing relative to their capability tier. Pricing is published at upstage.ai/pricing.

ChatMultilingualKorean NLPCost-efficiencyEnterprise
Proprietary models

Key metric comparison

Cheapest input ($/1M)

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$0.15

Cheapest output ($/1M)

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$0.60

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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33K

Live token pricing

Basetenlive pricing

No live pricing data available.

Upstagelive pricing

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ModelInputOutput
solar-pro-4$0.30EST Oct 2026$1.20
solar-pro-3$0.15EST Oct 2026$0.60
solar-pro-2$0.15EST Oct 2026$0.60

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

Upstage

Solar Pro 4: competitive frontier-tier pricing at $0.30/$1.20 per 1M tokens
Strong multilingual performance — Korean and English
Three-tier model family: Solar Pro 4, 3, and 2 for different cost/quality trade-offs
OpenAI-compatible API
Smaller global ecosystem than OpenAI or Anthropic
Limited model variety beyond the Solar family
Less documentation in English than major US 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.

Upstage

Korean-built Solar models with strong multilingual performance and competitive frontier-tier pricing — Solar Pro 4 at $0.30/$1.20 per 1M tokens.

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.

Upstage FAQs

What is Upstage Solar?

Upstage Solar is a family of LLMs from Korean AI company Upstage. Solar Pro 4 is the current flagship, with Solar Pro 3 and Solar Pro 2 at lower price points. See upstage.ai/pricing for current rates.

How much does Upstage Solar cost?

As of October 2026: Solar Pro 4 $0.30/$1.20 per 1M tokens, Solar Pro 3 $0.15/$0.60, Solar Pro 2 $0.15/$0.60. See upstage.ai/pricing for current rates.

Is Upstage good for Korean language tasks?

Yes. The Solar model family is developed by a Korean AI company and shows strong performance on Korean-language benchmarks, making it a top choice for Korean NLP workloads.

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)

Upstage

  • Solar Pro 4: competitive frontier-tier pricing at $0.30/$1.20 per 1M tokens
  • Strong multilingual performance — Korean and English
  • Three-tier model family: Solar Pro 4, 3, and 2 for different cost/quality trade-offs
  • Smaller global ecosystem than OpenAI or Anthropic
  • Limited model variety beyond the Solar family

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

Upstage

  • Smaller global ecosystem than OpenAI or Anthropic
  • Limited model variety beyond the Solar family
  • Less documentation in English than major US providers

Provider category context

Baseten is a inference api, founded in 2019. Upstage is a frontier lab, founded in 2020. Baseten as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Upstage 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 Upstage if you need solar pro 4: competitive frontier-tier pricing at $0.30/$1.20 per 1m tokens. 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.