Google Gemini API vs Groq
Gemini 2.5 Pro, Flash, Flash-Lite — multimodal + 2M context
vs. Fastest LLM inference — LPU-powered (300-1000+ tokens/sec)
Pricing tiers
Google Gemini API
Free Tier (AI Studio)
Generous free tier with rate limits. Good for dev + prototyping. Data may be used to improve Google products.
Free
Paid API (Gemini API)
Pay-as-you-go per-token. Data NOT used for training.
$0 base (usage-based)
Vertex AI (GCP)
Enterprise deployment via Google Cloud. Same pricing structure + GCP features (IAM, VPC-SC, CMEK).
$0 base (usage-based)
Gemini Enterprise
Custom. Gemini 2.5 Deep Think model access + Google Workspace + Agentspace.
Custom
Groq
Free Tier
Generous free RPM / TPM by model. Great for dev + small apps.
Free
On-Demand (paid)
Pay-as-you-go per token. OpenAI-compatible API, no infrastructure to manage.
$0 base (usage-based)
Developer Tier
Higher rate limits for production apps.
$0 base (usage-based)
Enterprise
Custom. Dedicated capacity, SLA, on-prem option.
Custom
Free-tier quotas head-to-head
Comparing free-tier on Google Gemini API vs free-tier on Groq.
| Metric | Google Gemini API | Groq |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Google Gemini API · 11 features
- Batch API — 50% discount for async processing.
- Code Execution — Python code interpreter tool (sandboxed).
- Context Caching — Cache system instructions + tools for up to 90% savings.
- File API — Upload large files (up to 2 GB) for multimodal prompts.
- Function Calling — JSON schema-based tool calling. Parallel supported.
- generateContent API — Core generation endpoint.
- Grounding with Search — Augment answers with Google Search results. Fact-checked citations returned.
- Model Tuning — Supervised fine-tuning via AI Studio.
- Multimodal Live API — Bidirectional streaming voice + video (WebSocket).
- Safety Settings — Configurable thresholds for harm categories.
- streamGenerateContent — Streaming variant with SSE.
Groq · 7 features
- Audio Transcription — Whisper endpoint.
- Batch API — 50% discount.
- Chat Completions (OpenAI-compat) — Standard /v1/chat/completions endpoint.
- Function Calling
- JSON Mode — Enforce JSON output format.
- Prompt Caching — 50% discount on cached input.
- Streaming — SSE streaming for chat.
Developer interfaces
| Kind | Google Gemini API | Groq |
|---|---|---|
| SDK | @google/genai, google-genai-go, google-genai (Python) | groq-python, groq-sdk (Node) |
| REST | Gemini REST API, Vertex AI Endpoint | Groq API (OpenAI-compat) |
| MCP | Gemini MCP | — |
Staxly is an independent catalog of developer platforms. Outbound links to Google Gemini API and Groq are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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