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Google Gemini API vs Replicate: pricing, quotas & features (2025)

Gemini 2.5 Pro, Flash, Flash-Lite — multimodal + 2M context
vs. Run and fine-tune AI models in the cloud — pay-per-second GPU

Data sourced from vendor documentation · Last updated May 2026

Google AI Studio ↗Replicate website ↗

Summary

Google Gemini API and Replicate are both ai-api platforms, addressing the same core use case with different implementation philosophies and trade-offs. Both offer a free tier, making it easy to prototype without a credit card. Both have 11 documented features in Staxly's catalog. The right choice depends on your existing stack, team experience, and feature requirements. All pricing and quota data below is sourced from Google Gemini API and Replicate's official documentation — not generated by AI or estimated.

Google Gemini API vs Replicate: Comparativa de precios, cuotas y características (2025)

En esta comparativa analizamos Google Gemini API y Replicate lado a lado — incluyendo precios mensuales, límites del tier gratuito, características técnicas, cuotas de uso (almacenamiento, transferencia, usuarios activos mensuales) y los interfaces de desarrollo disponibles. Todos los datos proceden de la documentación oficial de cada proveedor, no de respuestas generadas por IA.

Google Gemini API es una plataforma de la categoría ai-api — Gemini 2.5 Pro, Flash, Flash-Lite — multimodal + 2M context. Ofrece 4 tiers de precio: Free Tier (AI Studio) gratuito, Paid API (Gemini API) gratuito, Vertex AI (GCP) gratuito, Gemini Enterprise (personalizado). Su catálogo en Staxly documenta 11 características y 6 interfazes para desarrolladores.

Replicate pertenece a la categoría ai-api — Run and fine-tune AI models in the cloud — pay-per-second GPU. Ofrece 2 tiers de precio: Pay-as-you-go gratuito, Enterprise (personalizado). Su catálogo documenta 11 características y 7 interfazes para desarrolladores.

A continuación encontrarás los tiers de precio completos de ambas plataformas, una matriz de cuotas del tier gratuito (transferencia, almacenamiento, MAU, llamadas a la API y otros límites), el listado completo de características y los interfaces (CLI, SDKs, REST, GraphQL, MCP) disponibles para integrar cada servicio.

¿Necesitas estos datos en tu agente de IA (Claude Code, Cursor, Zed)? Instala gratis el servidor MCP de Staxly y tendrás acceso estructurado a Google Gemini API, Replicate y más de 130 plataformas para desarrolladores.

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
Google AI Studio ↗

Replicate

Pay-as-you-go
Per-second GPU billing. No minimum. Public models billed by processing time or tokens.
$0 base (usage-based)
Enterprise
Custom. Dedicated capacity, private deployments, SOC2, HIPAA on request.
Custom
Replicate website ↗

Free-tier quotas head-to-head

Comparing free-tier on Google Gemini API vs payg on Replicate.

MetricGoogle Gemini APIReplicate
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.
  • 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.
  • generateContent API — Core generation endpoint.
  • streamGenerateContent — Streaming variant with SSE.

Replicate · 11 features

  • 10k+ Models — Public catalog of image, video, audio, LLM, embedding, speech models.
  • Batch Predictions — Parallel batch execution.
  • Cog — OSS tool to containerize ML models. Standard for Replicate.
  • Deployments — Private model endpoints with dedicated GPUs.
  • File Storage — Temporary output file hosting.
  • Fine-Tuning — Fine-tune FLUX, SDXL, Llama 2/3 with your data.
  • Per-Second Billing — Pay only while model runs. No idle cost for public models.
  • Playground — Interactive UI for every public model.
  • Predictions API — Async + sync + streaming predictions.
  • Streaming Outputs — SSE streaming for LLMs + audio.
  • Webhooks — Notify when predictions complete.

Developer interfaces

KindGoogle Gemini APIReplicate
CLI—Cog (package models)
SDK@google/genai, google-genai (Python), google-genai-goreplicate (Node), replicate-go, replicate-python
RESTGemini REST API, Vertex AI EndpointReplicate REST API
MCPGemini MCPReplicate MCP
OTHER—Webhooks

Key takeaways

  • Both Google Gemini API and Replicate offer a free tier — Google Gemini API ("Free Tier (AI Studio)") and Replicate ("Pay-as-you-go") — with no credit card required to start.
  • Both platforms have 11 documented features in Staxly's catalog.
  • Developer integrations differ: only Replicate offers CLI/OTHER.
Staxly is an independent catalog of developer platforms. Some links to Google Gemini API and Replicate may be affiliate links — Staxly may earn a commission if you sign up through them, at no extra cost to you. Pricing is verified against vendor pages at publication time — reconfirm before buying.

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