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Baseten vs OpenRouter: Token Pricing, Speed & Intelligence

Full comparison of Baseten and OpenRouter — 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

OpenRouter

One API for every major LLM — 300+ models, route to the cheapest or fastest provider automatically

OpenRouter is a unified LLM API that routes requests to the cheapest or fastest available provider for any given model. With a single API key you can access GPT-5.6 Sol, Claude 5, Llama 4, Gemini 3.x, DeepSeek V4 Pro, and 300+ other models, with automatic fallback and cost optimisation. The catalog has grown significantly in 2026 with the addition of Chinese frontier models.

Multi-model applicationsCost optimisationProvider fallbackPrototypingModel comparison
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

—

$0.03

Cheapest output ($/1M)

—

$0.13

Peak throughput

—

270 tok/s

Best latency (TTFT)

—

290ms

Intelligence score

—

90/100

Context window

—

1050K

Live token pricing

Basetenlive pricing

No live pricing data available.

OpenRouterlive pricing

← Swipe to see all columns

ModelInputOutput
openai/gpt-4o$2.50EST Jul 2026$10.00
anthropic/claude-3.5-sonnet$3.00EST Jul 2026$15.00
meta-llama/llama-3.3-70b-instruct$0.12EST Jul 2026$0.30
deepseek/deepseek-r1$0.55EST Jul 2026$2.19
google/gemini-2.5-pro$1.25EST Jul 2026$10.00

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

OpenRouter

Single API for 300+ models across all major providers
Automatic routing to cheapest or fastest provider
Fallback and load balancing built in
OpenAI-compatible API
Free tier with rate-limited access to many models
Access to Chinese frontier models (Kimi, GLM, MiniMax, Qwen)
Adds a small latency overhead vs direct provider APIs
Pricing is slightly above direct provider rates (routing fee)
Less control over which specific provider handles your request

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.

OpenRouter

A unified API for accessing major LLMs — including Chinese frontier models — with a single key and automatic routing to the cheapest or fastest available provider.

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.

OpenRouter FAQs

How does OpenRouter pricing work?

OpenRouter charges the underlying provider rate plus a small routing fee (typically a few percent). For many models, the effective price is very close to or equal to the direct provider rate. Some models are available for free with rate limits.

What models are available on OpenRouter?

OpenRouter provides access to 300+ models including GPT-5.6 Sol, Claude 5 Sonnet, Llama 4, Gemini 3.x, DeepSeek V4 Pro, Kimi K3, GLM-5.3, MiniMax M3, Qwen3, Mistral Large 3, and many others.

Can I use OpenRouter with the OpenAI SDK?

Yes. OpenRouter is fully OpenAI-compatible. Point the OpenAI SDK at the OpenRouter endpoint and use your OpenRouter API key — no other code changes needed.

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)

OpenRouter

  • Single API for 300+ models across all major providers
  • Automatic routing to cheapest or fastest provider
  • Fallback and load balancing built in
  • Adds a small latency overhead vs direct provider APIs
  • Pricing is slightly above direct provider rates (routing fee)

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

OpenRouter

  • Adds a small latency overhead vs direct provider APIs
  • Pricing is slightly above direct provider rates (routing fee)
  • Less control over which specific provider handles your request

Provider category context

Baseten is a inference api, founded in 2019. OpenRouter is a inference api, founded in 2023. 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 OpenRouter 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.