Helicone vs Google Gemini API
Open-source LLM observability — 1-line integration via proxy
vs. Gemini 2.5 Pro, Flash, Flash-Lite — multimodal + 2M context
Pricing tiers
Helicone
Hobby (Free)
10,000 requests/month. 7-day retention. 1 seat. Basic monitoring.
Free
Startup Discount
<2 years, <$5M funding: 50% off first year.
$0 base (usage-based)
Self-Hosted (OSS)
MIT-licensed. Run Helicone yourself for free.
$0 base (usage-based)
Pro
$79/month. 10k free + usage-based. Unlimited seats. Alerts, reports, HQL query language. 1-month retention.
$79/mo
Team
$799/month. 5 orgs, SOC-2 + HIPAA compliance, dedicated Slack, 3-month retention.
$799/mo
Enterprise
Custom MSA, SAML SSO, on-prem deploy, bulk discounts, forever retention.
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 hobby on Helicone vs free-tier on Google Gemini API.
| Metric | Helicone | Google Gemini API |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Helicone · 16 features
- Alerts — Thresholds on error rate, latency, cost, usage. Pro+.
- Async Logging — Log AFTER the LLM call via SDK — zero added latency.
- Cost Tracking — Automatic cost calculation per call by provider/model.
- Dashboard — Request tables, aggregate metrics, cost breakdowns.
- Evaluators — LLM-as-judge + custom evaluators on runs.
- Experiments — A/B test different models/prompts.
- HQL (SQL over traces) — Query your logged data with SQL. Pro+.
- PII Redaction — Automatically scrub emails, credit cards, etc. from logs.
- Prompt Caching — Cache identical requests → save money.
- Prompts & Versions — Store + version + A/B test prompts.
- Proxy Mode — 1-line integration via base URL swap. Captures all requests.
- Rate Limiting — Per-user + per-key rate limit policies.
- Reports — Scheduled email reports with KPIs.
- Self-Hosting — Docker + k8s deployment.
- Sessions — Group related calls (chat sessions, agent runs).
- User Metrics — Per-user cost + usage segmentation.
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 | Helicone | Google Gemini API |
|---|---|---|
| CLI | Helicone CLI | — |
| SDK | helicone (npm), helicone-python | @google/genai, google-genai-go, google-genai (Python) |
| REST | Async Logging API, Helicone Proxy, Query API (HQL) | Gemini REST API, Vertex AI Endpoint |
| MCP | — | Gemini MCP |
| OTHER | Helicone Dashboard, Webhooks | — |
Staxly is an independent catalog of developer platforms. Outbound links to Helicone and Google Gemini API are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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