DeepSeek vs Together AI

What DeepSeek is

DeepSeek provides hosted chat and API services and publishes model weights for selected releases. API prices are model- and version-specific, while self-hosting requirements depend heavily on model size and inference format. Published weights make self-hosting a genuine option, which changes the cost question entirely.

What Together AI is

Together AI offers shared serverless inference and dedicated endpoints through the same API surface. Serverless models are billed by token or output unit and use dynamic rate limits; dedicated endpoints reserve hardware and bill by running time. Model availability, license, modality and price must be checked in the current catalog.

What DeepSeek is built to do

Hosted model API

Provides documented chat-model endpoints with model-specific token pricing.

Open-weight releases

Publishes downloadable weights and inference instructions for selected models.

Prompt caching rates

Separates cache-hit and cache-miss input pricing in the current API table.

Commercial-use model terms

DeepSeek-V3 permits commercial use subject to its model license.

What Together AI is built to do

Serverless inference

Shared, per-usage access to supported models without provisioning replicas.

Dedicated endpoints

Reserved hardware with per-endpoint configuration and per-minute billing while running.

Shared API surface

Serverless and dedicated endpoints use the same inference APIs for compatible models.

Multimodal catalog

Current offerings span chat, image, video, audio, embeddings and moderation.

Choose DeepSeek if

• Teams that have validated the current API model, rate and feature table
• Organizations able to review DeepSeek's platform terms and privacy policy
• Advanced infrastructure teams prepared for the hardware demands of large open-weight models

Skip DeepSeek if

• Your data policy cannot accept the hosted service terms or processing path
• You need lightweight local inference from the full DeepSeek-V3 release
• Your application cannot tolerate model, feature or price changes without revalidation

Choose Together AI if

• Prototyping or variable traffic on a supported serverless model
• Steady workloads that justify reserved dedicated hardware
• Teams that want one API surface across serverless and dedicated deployment

Skip Together AI if

• You require a free trial before purchasing platform credits
• A required model is unavailable in the chosen serverless or dedicated catalog
• You cannot monitor dynamic rate limits or dedicated endpoint runtime cost

DeepSeek: pros & cons

• Published API rates: Current input, cached-input and output prices are listed per model.
• Downloadable weights: Selected model releases provide weights and local-inference guidance.
• Commercial use: The DeepSeek-V3 repository states that its Base and Chat models support commercial use.
• Policy review required: Hosted use is governed by separate platform terms and privacy policy.
• Large self-hosting footprint: The V3 release documents 671B total parameters and FP8 weights.
• Version-sensitive costs: Model identifiers, capabilities and API rates can change.
• Implementation limits: Official V3 demo requirements do not support macOS or Windows.

Together AI: pros & cons

• Two deployment modes: Prototype on serverless and move compatible workloads to dedicated endpoints.
• Multiple modalities: The catalog includes text, image, video, audio, embedding and moderation options.
• No serverless minimum: Supported serverless models bill by actual usage without provisioning.
• Dedicated control: Reserved hardware provides endpoint-specific configuration and avoids shared-fleet limits.
• Catalog changes: Available models, prices and supported deployment modes can change.
• Dynamic limits: Serverless quotas vary by model, capacity and recent successful usage.
• Dedicated idle cost: Reserved endpoints bill while running regardless of request volume.
• Access cost: Together currently documents a minimum credit purchase and no free trial.