Free AI platform comparison

Groq vs SiliconFlow: Complete Comparison

Groq 和 硅基流动 (SiliconFlow) 深度对比:免费额度、API 价格、模型能力、国内可用性,帮你选最合适的 AI 工具

Quick decision

Groq vs SiliconFlow: Complete Comparison: pricing, free API, and limits

Quick answer: choose Groq if its free tier, model family, or ecosystem fits your app better; choose SiliconFlow 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 tierGroq: 6000 tokens/min (Llama 3.3 70B) · SiliconFlow: Free model access varies by model; RPM/TPM and context limits should be checked in the console
Free APIFree tier(永久免费) vs ¥14
Best checkCredits, rate limits, setup friction
DecisionTest both if rank, latency, or access matters
👑Groq

Groq

80pts
1 wins
VS
SiliconFlow

SiliconFlow

65pts
0 wins

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

📊 Side-by-Side

Category
Groq
SiliconFlow
Free Tier
✅ 6000 tokens/min (Llama 3.3 70B)
✅ Free model access varies by model; RPM/TPM and context limits should be checked in the console
Free API
✅ Free tier(永久免费)
✅ ¥14
Rate Limit
30 RPM / 6000 TPM
Varies by model/account (RPM, TPM, context, and queue limits)
Open Source
❌ No
❌ No
Free Models
6
2
GitHub Stars
-
-

🧠 Model Details

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
SiliconFlow2 models
DeepSeek-V3 (hosted)
📐 64k⚡ Free-tier RPM/TPM varies
Hosted open model; verify free/zero-price availability, RPM, TPM, context, and queue limits in the console
Qwen2.5-72B (hosted)
📐 32k⚡ Free-tier RPM/TPM varies
Qwen-family hosted model; availability, free quota, context, and rate limits can change by model version

🎯 Which should you choose?

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.

Choose SiliconFlow if…

you want Free model access varies by model; RPM/TPM and context limits should be checked in the console on the free tier, plus ¥14 for API tests.

FAQ

Which is better, Groq or SiliconFlow?

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 Groq have a free tier?

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

Does SiliconFlow have a free tier?

Yes. SiliconFlow lists Free model access varies by model; RPM/TPM and context limits should be checked in the console for free users.

Which one is better for API experiments?

Groq offers Free tier(永久免费); SiliconFlow offers ¥14. 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
groq-vs-siliconflow
Groq source
https://groq.com
SiliconFlow source
https://siliconflow.cn
Dataset freshness
Groq: 2026-06-03 · SiliconFlow: 2026-06-03
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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