By Murtaza Ali
Last Updated: 19th February 2026
Google’s Gemini API has evolved rapidly, introducing Gemini 3, improved Flash models, and more efficient image and embedding capabilities.
This guide provides a clear, practical overview of all the latest Gemini models, their pricing, free-tier limits, and which model to choose for real-world use cases.
🚀 What Is Gemini?
Gemini is Google’s multimodal large language model family that supports:
- Text
- Code
- Images
- Multimodal reasoning
- Large context windows (up to 1 million tokens)
Gemini models are accessible via:
- Google AI Studio
- Gemini API
- Vertex AI (Enterprise)
🆓 Gemini API Free Tier Explained
Google offers a free tier for Gemini API, making experimentation possible without a credit card.
Free Tier Includes
- Limited Requests Per Minute (RPM)
- Limited Tokens Per Minute (TPM)
- Daily usage caps
- Shared quota across models
Typical Free Tier Limits (Approximate)
| Limit Type | Free Tier |
|---|---|
| Requests per minute | 5–15 RPM |
| Tokens per minute | ~250,000 TPM |
| Daily requests | Limited |
| Production SLA | ❌ No |
⚠️ Limits vary by model and may change. Always check Google AI Studio → Quotas for live values.
When to Enable Billing
Enable billing when you need:
- Stable production traffic
- Higher throughput
- Consistent latency
- Enterprise-grade reliability
🧠 Latest Gemini Models (2026)
Below is the complete and up-to-date Gemini API model list including Gemini 3, 2.5, image models, and embeddings.
📊 Gemini API Models – Full Reference Table
| Model ID | Display Name | Description | Best For | Free Tier | Pricing (per 1M tokens) |
|---|---|---|---|---|---|
gemini-3-pro |
Gemini 3 Pro | Most powerful multimodal reasoning model | Deep reasoning, coding, planning | Limited | Input ~$2–$4 / Output ~$12–$18 |
gemini-3-flash |
Gemini 3 Flash | Fast, low-latency high-performance model | Real-time chat, agents | Yes | Lower than Pro |
gemini-3-deepthink |
Gemini 3 DeepThink | Enhanced reasoning variant | Multi-step logical reasoning | Limited | Similar to Pro |
gemini-3-pro-image |
Gemini 3 Pro Image | High-quality image generation | Premium image creation | Limited | Image-based pricing |
gemini-2.5-pro |
Gemini 2.5 Pro | Mature reasoning & coding model (1M context) | Code assistants, analysis | Yes | Input $1.25–$2.50 / Output $10–$15 |
gemini-2.5-flash |
Gemini 2.5 Flash | Balanced cost/performance | Production chatbots | Yes | Input ~$0.30 / Output ~$2.50 |
gemini-2.5-flash-lite |
Gemini 2.5 Flash-Lite | Ultra low-cost, high throughput | Large-scale bots | Yes | Input $0.10 / Output $0.40 |
gemini-2.5-flash-image |
Gemini 2.5 Flash Image | Text-to-image generation | Image apps | Limited | Flash pricing + image tokens |
gemini-embedding-001 |
Gemini Embedding | Vector embeddings model | RAG, semantic search | Yes | ~$0.15 |
gemini-2.0-flash |
Gemini 2.0 Flash | Legacy general model | Simple workloads | Yes | Low |
gemini-2.0-flash-lite |
Gemini 2.0 Flash-Lite | Legacy ultra-cheap model | Massive scale | Yes | Lowest |
🏁 Final Thoughts
Google Gemini is one of the most flexible and cost-effective AI platforms thanks to:
- Large context windows
- Strong multimodal support
- Generous free tier
- Clear upgrade path to production
Recommended default choice:
Start with gemini-2.5-flash, then upgrade to gemini-3-pro only if you need deeper reasoning.
📚 References
If you build healthcare, RAG, or integration-heavy systems, Gemini Flash + Embeddings offers an excellent balance of performance and cost.