DeepSeek V4 Pro on OpenRouter

DeepSeek V4 · DeepSeek

Serverless
Open Source

Last refreshed 2026-10-19. Next refresh: weekly.

Why use DeepSeek V4 Pro on OpenRouter?

OpenRouter offers DeepSeek V4 Pro with pay-as-you-go pricing at $0.36/1M input tokens. OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.

Compare DeepSeek V4 Pro across 6 providers to find the best fit for your use case
Input / 1M
$0.3633
Output / 1M
$0.7266
Cache
read $0.0303
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: deepseek/deepseek-v4-pro
Model ID
deepseek/deepseek-v4-pro

Request example

Curated snippets for this provider are not sourced yet. Use OpenRouter documentation with model ID deepseek/deepseek-v4-pro.

Gotchas

  • Use provider model ID "deepseek/deepseek-v4-pro", not the LLMReference slug "deepseek-v4-pro".

Compare DeepSeek V4 Pro Across Providers

ProviderInput (per 1M)Output (per 1M)
DeepSeek Platform$1.32$3.96
Fireworks AI$1.74$3.48
OpenRouter$0.36$0.73
Vercel AI Gateway$0.43$0.87
Novita AI$1.60$3.20
View all 6 providers →

Pricing

TypePrice (per 1M)
Input tokens$0.36
Output tokens$0.73

Capabilities

ReasoningJSON / Tool useStructured OutputsPrompt Caching

About DeepSeek V4 Pro

DeepSeek V4 Pro is DeepSeek's flagship open-weights model, released April 24 2026 under the MIT license. Architecture: 1.6T total / 49B active parameters, MoE with Compressed Sparse Attention (CSA) + Heavily Compressed Attention (HCA) hybrid — requiring only 27% of inference FLOPs vs standard 1M-context transformers — plus Manifold-Constrained Hyper-Connections (mHC) and Muon Optimizer. Context window: 1,000,000 tokens; max output: 384,000 tokens (Think Max mode requires >=384K context). Text-only (no vision/image input). Supports three reasoning modes: Non-Think, Think High, Think Max. Function calling, tool use, and structured outputs supported.

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