Compute Comparison
vs
All providers →

DeepSeek vs OpenRouter: Token Pricing, Speed & Intelligence

Full comparison of DeepSeek and OpenRouter — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.

DeepSeek

Chinese frontier lab — DeepSeek V3 and R1 at remarkably low prices

DeepSeek is a Chinese AI lab that has released highly capable open-weight models at prices far below Western competitors. DeepSeek V3 matches GPT-4 class performance at $0.27/1M input tokens, while DeepSeek R1 is a reasoning model competitive with o1 at a fraction of the cost. Both models are open-weight.

Cost-efficiencyReasoningCodingOpen-sourceSelf-hosting
Proprietary models

OpenRouter

One API for every major LLM — 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-4o, Claude, Llama, Gemini, and hundreds of other models, with automatic fallback and cost optimisation.

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

Key metrics

Cheapest input ($/1M)

Cheapest output ($/1M)

Peak throughput

Best latency (TTFT)

Intelligence score

Context window

Live token pricing

Strengths & weaknesses

DeepSeek

DeepSeek V3 matches GPT-4 class at $0.27/1M input — 10× cheaper
R1 reasoning model competitive with o1 at a fraction of the cost
Both V3 and R1 are open-weight — can be self-hosted
Mixture-of-Experts architecture for efficient inference
Strong coding and math benchmarks
Data residency in China — may not meet compliance requirements
API reliability can lag Western providers during peak demand
Limited multimodal capability vs. Gemini or GPT-4o

OpenRouter

Single API for 200+ 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
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

DeepSeek

DeepSeek V3 delivers GPT-4 class intelligence at $0.27/1M input tokens — the most disruptive price-to-performance ratio in the LLM market.

OpenRouter

The only API that lets you access every major LLM with a single key and automatically routes to the cheapest or fastest available provider.

Frequently asked questions

DeepSeek FAQs

How much does DeepSeek cost?

DeepSeek V3 costs $0.27/1M input and $1.10/1M output tokens — roughly 10× cheaper than GPT-4o for comparable capability. DeepSeek R1 is $0.55/1M input and $2.19/1M output.

Is DeepSeek open-weight?

Yes. Both DeepSeek V3 and DeepSeek R1 are open-weight models available on Hugging Face. You can self-host them on your own GPU infrastructure, though they require significant compute (671B parameters for R1).

How does DeepSeek R1 compare to OpenAI o1?

DeepSeek R1 scores comparably to OpenAI o1 on math and coding benchmarks at a fraction of the cost. R1 is open-weight and can be self-hosted, while o1 is proprietary. R1 is available via multiple inference providers including Fireworks AI and Together AI.

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 200+ models including GPT-4o, Claude 3.5 Sonnet, Llama 3.3 70B, Gemini 1.5 Pro, DeepSeek R1, Mistral, and many others. The catalog is updated as new models are released.

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

DeepSeekChinese frontier lab — DeepSeek V3 and R1 at remarkably low prices

DeepSeek is a Chinese AI lab that has released highly capable open-weight models at prices far below Western competitors. DeepSeek V3 matches GPT-4 class performance at $0.27/1M input tokens, while DeepSeek R1 is a reasoning model competitive with o1 at a fraction of the cost. Both models are open-weight.

DeepSeek V3 delivers GPT-4 class intelligence at $0.27/1M input tokens — the most disruptive price-to-performance ratio in the LLM market.

OpenRouterOne API for every major LLM — 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-4o, Claude, Llama, Gemini, and hundreds of other models, with automatic fallback and cost optimisation.

The only API that lets you access every major LLM with a single key and automatically routes to the cheapest or fastest available provider.

Key strengths compared

DeepSeek

  • DeepSeek V3 matches GPT-4 class at $0.27/1M input — 10× cheaper
  • R1 reasoning model competitive with o1 at a fraction of the cost
  • Both V3 and R1 are open-weight — can be self-hosted

OpenRouter

  • Single API for 200+ models across all major providers
  • Automatic routing to cheapest or fastest provider
  • Fallback and load balancing built in

Provider category context

DeepSeek is a frontier lab, founded in 2023. OpenRouter is a inference api, founded in 2023. DeepSeek as a frontier lab trains and serves its own proprietary models. OpenRouter as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.

How to choose between them

Choose DeepSeek if you need deepseek v3 matches gpt-4 class at $0.27/1m input — 10× cheaper. Choose OpenRouter if you need single api for 200+ models across all major providers. 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.