DeepSeek vs Stability AI: Token Pricing, Speed & Intelligence

Full comparison of DeepSeek and Stability AI — 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

Stability AI

Open-weight image generation with Stable Diffusion

Stability AI is the creator of Stable Diffusion, the most widely used open-weight image generation model. Its API offers Stable Diffusion 3.5 Large and Stable Image Ultra for high-quality image generation.

Image generationImage editingInpaintingSelf-hosted AI art

Proprietary modelsHosts 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

Stability AI

Open-weight models available for self-hosting

Wide community and ecosystem

Competitive API pricing

Image quality trails DALL-E 3 and Midjourney on some benchmarks

Company has faced financial challenges

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.

Stability AI

Stable Diffusion models are open-weight and can be self-hosted, making them the most flexible option for teams that need full control over their image generation pipeline.

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.

Stability AI FAQs

What is Stable Diffusion?

Stable Diffusion is an open-weight text-to-image model developed by Stability AI. It can be run locally or accessed via the Stability AI API, and has spawned a large ecosystem of fine-tuned variants.

How does Stability AI compare to DALL-E 3?

DALL-E 3 generally produces more photorealistic and instruction-following images out of the box. Stable Diffusion offers more flexibility through open weights, fine-tuning, and self-hosting.

Provider resources

DeepSeek

Provider page Website Pricing Docs

Stability AI

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.

Stability AI — Open-weight image generation with Stable Diffusion

Stable Diffusion models are open-weight and can be self-hosted, making them the most flexible option for teams that need full control over their image generation pipeline.

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

Stability AI

▸Open-weight models available for self-hosting
▸Wide community and ecosystem
▸Competitive API pricing

Provider category context

DeepSeek is a frontier lab, founded in 2023. Stability AI is a frontier lab, founded in 2020. Both are frontier lab providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both DeepSeek and Stability AI are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: DeepSeek leads on deepseek v3 matches gpt-4 class at $0.27/1m input — 10× cheaper, while Stability AI leads on open-weight models available for self-hosting. For cost-sensitive workloads, compare the cheapest model tier from each provider in the pricing table above — the gap between efficient-tier models is often larger than between flagship models.