Free AI platform comparison

Groq vs SambaNova: Battle of Free Inference Speed Kings

Groq 和 SambaNova 深度对比:自研芯片、推理速度、免费额度、模型规模,两大免费高速推理平台谁更强?

Quick decision

Groq vs SambaNova: Battle of Free Inference Speed Kings: pricing, free API, and limits

Quick answer: choose Groq if its free tier, model family, or ecosystem fits your app better; choose SambaNova 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) · SambaNova: 30 RPM (no total cap)
Free APIFree tier(永久免费) vs Free tier(永久免费)
Best checkCredits, rate limits, setup friction
DecisionTest both if rank, latency, or access matters
Groq

Groq

80pts
1 wins
VS
SambaNova

SambaNova

80pts
0 wins

🤝 It's a tie — both have their strengths

📊 Side-by-Side

Category
Groq
SambaNova
Free Tier
✅ 6000 tokens/min (Llama 3.3 70B)
✅ 30 RPM (no total cap)
Free API
✅ Free tier(永久免费)
✅ Free tier(永久免费)
Rate Limit
30 RPM / 6000 TPM
30 RPM
Open Source
❌ No
❌ No
Free Models
6
5
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
SambaNova5 models
Llama 3.1 405B
📐 128k⚡ 30 RPM
World's largest open-source model, completely free, RDU chip accelerated, ultra-fast
Llama 3.3 70B
📐 128k⚡ 30 RPM
Free to use, accelerated by custom RDU chip
DeepSeek R1
📐 128k⚡ 30 RPM
Reasoning model, free to use, 671B MoE
DeepSeek V3
📐 128k⚡ 30 RPM
DeepSeek V3 latest, free to use
Qwen 2.5 72B
📐 128k⚡ 30 RPM
Alibaba Qwen, free to use

🎯 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 SambaNova if…

you want 30 RPM (no total cap) on the free tier, plus Free tier(永久免费) for API tests.

FAQ

Which is better, Groq or SambaNova?

Groq and SambaNova are closely matched in this comparison. Test both if your workload depends on model quality, API latency, or regional access.

Does Groq have a free tier?

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

Does SambaNova have a free tier?

Yes. SambaNova lists 30 RPM (no total cap) for free users.

Which one is better for API experiments?

Groq offers Free tier(永久免费); SambaNova 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
groq-vs-sambanova
Groq source
https://groq.com
SambaNova source
https://sambanova.ai
Dataset freshness
Groq: 2026-06-15 · SambaNova: 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.

Need one fallback key after this comparison?

Use the provider guides for first-party testing, then route production traffic through one OpenAI-compatible key when multi-provider fallback, budget control, or China-access testing becomes painful.

Get an OpenLLMAPI key →

🎁 Free Resource Pack

Get the Free AI Startup Toolkit

Free API credits list, AI business case studies, payment stack, risk checklist, and a monetization roadmap.

Get it free →
🐑 AI Assistant