Portkey vs Google Gemini API
Enterprise AI gateway + observability + guardrails + prompt mgmt
vs. Gemini 2.5 Pro, Flash, Flash-Lite — multimodal + 2M context
Pricing tiers
Portkey
Developer (Free)
Free forever. 10k logs/month. Universal API + key management. 3 prompt templates. Basic observability.
Free
Gateway (OSS)
MIT-licensed gateway only (no observability UI). Self-host for routing/fallbacks.
$0 base (usage-based)
Production
$49/month. 100k logs ($9 per additional 100k). Fallbacks, load balancing, retries, semantic caching. Unlimited prompts. RBAC.
$49/mo
Enterprise
Custom. 10M+ logs/month. Custom guardrails, advanced evals, SSO, budget controls, VPC + on-prem, SOC2, HIPAA, GDPR.
Custom
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
Free-tier quotas head-to-head
Comparing free on Portkey vs free-tier on Google Gemini API.
| Metric | Portkey | Google Gemini API |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Portkey · 18 features
- AI Gateway — Unified OpenAI-compatible API to 250+ LLMs.
- Alerts — Thresholds on latency, error rate, cost, usage.
- Budget Controls — Per-key + per-team spending limits.
- Evaluations — Built-in evaluator templates + custom.
- Fallbacks — Config-driven provider fallback chains.
- Guardrails — Pre/post processors for safety + compliance.
- Load Balancing — Round-robin, weighted, least-latency across providers.
- MCP Support — Use MCP servers as tools through gateway.
- Observability — Logs, traces, feedback, alerts, cost tracking.
- OSS Gateway — Open-source gateway (portkey-ai/gateway).
- Prompt Library — Shared prompt library + public marketplace.
- Prompt Templates — Version + test + collaborate on prompts.
- Retries — Configurable retry policies per route.
- Role-Based Access Control — Team permissions on prompts + keys.
- Semantic Caching — Vector-based cache on query meaning.
- Simple Caching — Exact-match cache.
- Virtual Keys — Per-app keys with budget + rate limits + permissions.
- VPC Deployment (Ent) — Deploy in your own VPC for compliance.
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.
Developer interfaces
| Kind | Portkey | Google Gemini API |
|---|---|---|
| CLI | Portkey CLI | — |
| SDK | portkey-ai (Node), portkey-ai (Python) | @google/genai, google-genai-go, google-genai (Python) |
| REST | Portkey API (OpenAI-compat) | Gemini REST API, Vertex AI Endpoint |
| MCP | Portkey MCP | Gemini MCP |
| OTHER | Portkey Dashboard | — |
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