Alibaba Cloud vs DeepSeek: Token Pricing, Speed & Intelligence

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

Alibaba Cloud

Qwen — frontier open-weight models with competitive pricing

Alibaba Cloud's Qwen model family spans from budget-tier Qwen-Turbo to the frontier Qwen3-235B MoE reasoning model. Qwen3 models are fully open-weight, making them popular for self-hosted deployments. The API is available via Alibaba's DashScope platform with competitive per-token pricing.

CodingReasoningMultilingualVisionCost-sensitive workloads

Proprietary modelsHosts open weights

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

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

Alibaba Cloud

Qwen3-235B rivals GPT-4o on reasoning benchmarks

Open-weight models available for self-hosting

Competitive pricing — Qwen-Turbo at $0.05/1M input

Strong multilingual support including Chinese

Vision-language models (Qwen2.5-VL) with strong OCR

API primarily optimised for Asian markets — latency may be higher in US/EU

Less third-party integration support than OpenAI

Documentation quality varies by model version

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

Key differentiators

Alibaba Cloud

Qwen3-235B is a 235B MoE open-weight model that matches frontier closed models on reasoning benchmarks at a fraction of the cost.

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.

Frequently asked questions

Alibaba Cloud FAQs

What is the Qwen model family?

Qwen is Alibaba's family of large language models ranging from Qwen-Turbo (budget) to Qwen3-235B (frontier MoE). Qwen3 models support hybrid thinking mode, toggling between fast responses and deep chain-of-thought reasoning.

Are Qwen models open-weight?

Yes. Qwen3 models (including the 235B MoE) are released under open licenses and available on Hugging Face. This makes them popular for self-hosted deployments where data privacy or cost control is a priority.

How does Qwen3-235B compare to GPT-4o?

Qwen3-235B-A22B is a 235B parameter MoE model that activates 22B parameters per token. It scores competitively with GPT-4o and Claude Sonnet on coding and reasoning benchmarks, at significantly lower API cost.

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.

Provider resources

Alibaba Cloud

Provider page Website Pricing Docs

DeepSeek

Provider page Website Pricing Docs

Alibaba Cloud — Qwen — frontier open-weight models with competitive pricing

Qwen3-235B is a 235B MoE open-weight model that matches frontier closed models on reasoning benchmarks at a fraction of the cost.

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.

Key strengths compared

Alibaba Cloud

▸Qwen3-235B rivals GPT-4o on reasoning benchmarks
▸Open-weight models available for self-hosting
▸Competitive pricing — Qwen-Turbo at $0.05/1M input

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

Provider category context

Alibaba Cloud is a frontier lab, founded in 2009 (AI division 2023). DeepSeek is a frontier lab, founded in 2023. 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 Alibaba Cloud and DeepSeek are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: Alibaba Cloud leads on qwen3-235b rivals gpt-4o on reasoning benchmarks, while DeepSeek leads on deepseek v3 matches gpt-4 class at $0.27/1m input — 10× cheaper. 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.