Alibaba Cloud vs Groq: Token Pricing, Speed & Intelligence

Full comparison of Alibaba Cloud and Groq — 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

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

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

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

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.

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

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.

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

Alibaba Cloud

Provider page Website Pricing Docs

Groq

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.

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

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

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

Alibaba Cloud is a frontier lab, founded in 2009 (AI division 2023). Groq is a inference api, founded in 2016. Alibaba Cloud 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 Alibaba Cloud if you need qwen3-235b rivals gpt-4o on reasoning benchmarks. 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.