Free AI platform comparison

OpenRouter vs Groq: Free Tier and API

OpenRouter vs Groq is a practical comparison for developers choosing an AI platform with usable free access. OpenRouter offers Varies by model on the free tier, while Groq offers 6000 tokens/min (Llama 3.3 70B) on the free tier. For API usage, OpenRouter includes Free models with a 20 RPM limit, and Groq includes Free tier(永久免费) with a 30 RPM / 6000 TPM limit. This page compares the two tools across free tier, free API, rate limits, open-source availability, model coverage, and GitHub traction, then gives a quick recommendation so you can decide whether to test OpenRouter, Groq, or both.

Quick decision

OpenRouter vs Groq: pricing, free API, and limits

Quick answer: choose OpenRouter 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 tierOpenRouter: Varies by model · Groq: 6000 tokens/min (Llama 3.3 70B)
Free APIFree models vs Free tier(永久免费)
Best checkCredits, rate limits, setup friction
DecisionTest both if rank, latency, or access matters
OpenRouter

OpenRouter

60pts
0 wins
VS
👑Groq

Groq

80pts
1 wins

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

📊 Side-by-Side

Category
OpenRouter
Groq
Free Tier
✅ Varies by model
✅ 6000 tokens/min (Llama 3.3 70B)
Free API
✅ Free models
✅ Free tier(永久免费)
Rate Limit
20 RPM
30 RPM / 6000 TPM
Open Source
❌ No
❌ No
Free Models
1
6
GitHub Stars
-
-

🧠 Model Details

OpenRouter1 models
Free Models (多个)
📐 varies⚡ 20 RPM
Multiple free models available (Llama, Gemma, etc.)
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 OpenRouter if…

you want Varies by model on the free tier, plus Free models for API tests.

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, OpenRouter 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 OpenRouter have a free tier?

Yes. OpenRouter lists Varies by model 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?

OpenRouter offers Free models; 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
openrouter-vs-groq
OpenRouter source
https://openrouter.ai
Groq source
https://groq.com
Dataset freshness
OpenRouter: 2026-06-16 · Groq: 2026-06-16
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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