Free AI platform comparison

ChatGPT (OpenAI) vs Groq: Complete Comparison

ChatGPT (OpenAI) 和 Groq 深度对比：免费额度、API 价格、模型能力、中国大陆可用性，帮你选最合适的 AI 工具

Quick decision

ChatGPT (OpenAI) vs Groq: Complete Comparison: pricing, free API, and limits

Quick answer: choose ChatGPT (OpenAI) if its free tier, model family, or ecosystem fits your app better; choose Groq if it gives better free API credits, pricing, or access for your workflow. This comparison focuses on free tier, API pricing, limits, setup, and practical alternatives.

Free tierChatGPT (OpenAI): Limited requests/day · Groq: 6000 tokens/min (Llama 3.3 70B)

Free APINo vs Free tier（永久免费）

Best checkCredits, rate limits, setup friction

DecisionTest both if rank, latency, or access matters

ChatGPT (OpenAI) detailsFree tier, API credits, limits and setup Groq detailsFree tier, API credits, limits and setup Free AI API directoryCompare all free credits and limits

ChatGPT (OpenAI)

55pts

0 wins

👑

Groq

80pts

1 wins

🏆 Overall, Groq offers more free value (1/6 categories)

📊 Side-by-Side

🧠 Model Details

ChatGPT (OpenAI)6 models

GPT-5.5

📐 1000k⚡ Plus/Pro only

Released April 2026, smartest model, major upgrade for coding/research/analysis. API $5/M input, $30/M output

GPT-5.5-Cyber

📐 1000k⚡ Trusted Access / enterprise-limited

GPT-5.5 variant for trusted-access cybersecurity use cases, including security evaluation, vulnerability analysis, and defensive workflows; availability is gated through OpenAI trusted access.

GPT-5.5 Pro

📐 1050k⚡ Pro only

Deep reasoning variant for complex high-stakes tasks. API $30/M input, $180/M output

GPT-5.4

📐 128k⚡ Plus/Pro

Previous flagship, still powerful

GPT-4o mini

📐 128k⚡ Rate limited

Available to free users, fast

GPT-4o

📐 128k⚡ Very limited

Very limited for free users

Groq6 models

Llama 3.3 70B Versatile

📐 128k⚡ 30 RPM / 6000 TPM

World's fastest inference, 6000 tokens/min free, LPU chip accelerated

Llama 4 Scout 17B

📐 128k⚡ 30 RPM / 6000 TPM

Meta Llama 4 Scout, MoE architecture, free to use

Llama 4 Maverick 17B

📐 128k⚡ 30 RPM / 6000 TPM

Meta Llama 4 Maverick, MoE architecture, free to use

Mixtral 8x7B

📐 32k⚡ 30 RPM / 5000 TPM

MoE architecture, cost-effective

Gemma 2 9B

📐 8k⚡ 30 RPM / 15000 TPM

Google Gemma 2, ultra-fast small model

DeepSeek R1 Distill Llama 70B

📐 128k⚡ 30 RPM / 6000 TPM

DeepSeek R1 distilled, strong reasoning

🎯 Which should you choose?

Choose ChatGPT (OpenAI) if…

you want Limited requests/day on the free tier.

Choose Groq if…

you want 6000 tokens/min (Llama 3.3 70B) on the free tier, plus Free tier（永久免费） for API tests.

FAQ

Which is better, ChatGPT (OpenAI) or Groq?

Groq scores higher in this free-tier comparison because it wins more of the measured categories. Still, the best choice depends on your exact needs: free chat access, API credits, open-source models, or rate limits.

Does ChatGPT (OpenAI) have a free tier?

Yes. ChatGPT (OpenAI) lists Limited requests/day for free users.

Does Groq have a free tier?

Yes. Groq lists 6000 tokens/min (Llama 3.3 70B) for free users.

Which one is better for API experiments?

ChatGPT (OpenAI) has no clearly listed free API credits; Groq offers Free tier（永久免费）. Choose the option with enough credits and rate limits for your prototype.

Source snapshot

Data source: yangmao.ai provider YAML tracker plus curated comparison notes. Official dashboards can change credits, limits, model availability, and pricing without notice; verify in the provider console before production.

yangmao.ai comparison slug: chatgpt-vs-groq
ChatGPT (OpenAI) source: https://chat.openai.com
Groq source: https://groq.com
Dataset freshness: ChatGPT (OpenAI): 2026-06-15 · Groq: 2026-06-15
Decision data: Free tier, API credits, rate limits, model list, China access notes, and curated comparison dimensions from the yangmao.ai provider tracker.

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ChatGPT (OpenAI) vs Groq: Complete Comparison: pricing, free API, and limits

ChatGPT (OpenAI)

Groq

📊 Side-by-Side

🧠 Model Details

🎯 Which should you choose?

Choose ChatGPT (OpenAI) if…

Choose Groq if…

FAQ

Source snapshot

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