Head to head
Google Gemini API vs Groq
As a llm API, Google Gemini API rates higher on the APIbenchmarks Index, 87.9 to 77.8, a 10.1-point gap. Here is how they compare on each criterion.
Criterion by criterion
| Criterion | Google Gemini API | Groq |
|---|---|---|
| Documentation & DX | ||
| Reliability | ||
| Ecosystem & SDKs | ||
| Accessibility | ||
| APIbenchmarks Index | 87.9 | 77.8 |
Specifications
| Google Gemini API | Groq | |
|---|---|---|
| Best for | Multimodal, long-context, GCP-backed | Ultra-low-latency open-model inference |
| Free tier | Free tier on Flash models: ~1,500 req/day, 250k TPM (Pro models paid-only since Apr 2026) | Free dev tier, no card: 30 RPM / 6K TPM / 14,400 req/day |
| Pricing | Per token | Per token |
| Official SDKs | 6 languages | 8 languages |
Is Google Gemini API better than Groq?
On the APIbenchmarks Index, Google Gemini API rates higher (87.9 vs 77.8). It leads on the four weighted criteria, but price is reported separately, so the best choice still depends on your budget.