DeepSeek vs Groq: Token Pricing, Speed & Intelligence

Full comparison of DeepSeek and Groq — 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

Groq

LPU-powered inference — the fastest tokens per second available

Groq runs custom Language Processing Units (LPUs) that deliver dramatically higher throughput than GPU-based inference — Llama 3.3 70B reaches 750+ tokens/second on Groq, versus 100–200 on typical GPU providers. Ideal for latency-sensitive applications, real-time chat, and high-volume batch workloads.

SpeedReal-time chatVoice AICost-efficiencyBatch processing

Open-weight hostHosts open weights

Key metrics

Cheapest input ($/1M)

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Cheapest output ($/1M)

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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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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

Groq

750+ tokens/sec on Llama 3.3 70B — fastest GPU-class inference

Sub-100ms time-to-first-token for real-time applications

Very competitive pricing on open-weight models

OpenAI-compatible API

Free tier available

Limited model selection vs. Together AI or Fireworks

No vision model support on most models

No fine-tuning capability

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.

Groq

Groq's custom LPU chips deliver 750+ tokens/sec on Llama 3.3 70B — 4–5× faster than any GPU-based 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.

Groq FAQs

How fast is Groq inference?

Groq delivers 750+ tokens/second on Llama 3.3 70B and 1,200+ tokens/second on Llama 3.1 8B. This is 4–5× faster than typical GPU-based providers, making it ideal for real-time applications.

How much does Groq cost?

Llama 3.3 70B costs $0.59/1M input and $0.79/1M output tokens. Llama 3.1 8B is just $0.05/$0.08 per 1M tokens — among the cheapest options for a capable open-weight model.

What is a Groq LPU?

A Language Processing Unit (LPU) is Groq's custom silicon designed specifically for sequential token generation. Unlike GPUs which are optimised for parallel matrix operations, LPUs excel at the autoregressive decoding step that dominates LLM inference latency.

Provider resources

DeepSeek

Provider page Website Pricing Docs

Groq

Provider page Website Pricing Docs

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

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

Groq — LPU-powered inference — the fastest tokens per second available

Groq's custom LPU chips deliver 750+ tokens/sec on Llama 3.3 70B — 4–5× faster than any GPU-based 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

Groq

▸750+ tokens/sec on Llama 3.3 70B — fastest GPU-class inference
▸Sub-100ms time-to-first-token for real-time applications
▸Very competitive pricing on open-weight models

Provider category context

DeepSeek is a frontier lab, founded in 2023. Groq is a inference api, founded in 2016. DeepSeek as a frontier lab trains and serves its own proprietary models. Groq 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 Groq if you need 750+ tokens/sec on llama 3.3 70b — fastest gpu-class inference. 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.