Gemini 3 Pro
GoogleLarge Language ModelProprietaryGoogle's reasoning-focused model with internal chain-of-thought. Breaks problems into steps, checks its own logic, and refines output. Supports text, vision, and native image generation.
Abilities
Use Cases
Available in Tools
Availability
How to Use
Pros
- 1M token context window — handles extremely large documents and codebases
- Internal reasoning before answering — breaks problems into steps and checks logic
- Native image generation built into the LLM — text and images in one model
- Strong math, code, and logical analysis capabilities
- Competitive pricing at $2/$12 per 1M tokens
Cons
- Closed source — no model weights or self-hosting option
- Higher pricing for contexts over 200K tokens ($4/$18 per 1M)
- Image generation quality may not match dedicated image models
- Strict content policies may limit some creative use cases
What to Use It For
Perfect For
Internal chain-of-thought reasoning breaks problems into steps and self-corrects before answering
1M token context window handles entire book-length documents or large codebases in a single call
Single model handles both text reasoning and image generation — no need to switch between models
Good For
Deep reasoning mode gives major boost in accuracy for challenging math and code tasks
Not Recommended
Pricing doubles for contexts over 200K tokens — can get expensive with long inputs
Try instead: Gemini 2.5 Flash
Closed source with no available weights
Try instead: Llama 4 Maverick, Qwen 3
Do Not Use For
Not a video model — use dedicated video generation models
Try instead: Veo, Sora
Not an audio model — cannot generate speech or audio
Try instead: ElevenLabs, OpenAI TTS