GoogleMediumUltra

Gemini 3 Flash

Google's most advanced reasoning model with state-of-the-art multimodal understanding, PhD-level reasoning, and leading coding performance.

500 credits

per request

PhD-level reasoning ability

1,048,576 token context window

65,536 max output tokens

Multimodal input: text, image, video, audio, PDF

Thinking, structured outputs, function calling

Search grounding, code execution, caching, Batch API

Breakthrough mathematics capabilities

Run it right now

Test this model instantly in the Console Playground — no code required

Use with AI Assistant

Copy usage instructions for Claude, ChatGPT, or other AI

llms.txt

Model Specifications

Context Window

1.0M

tokens

Max Output

66K

tokens

Training Cutoff

January 2025

Compatible SDK

OpenAI, Google AI

Capabilities

Vision

Function Calling

Streaming

JSON Mode

System Prompt

Token Pricing (per 1M tokens)

Token Type	Credits	USD Equivalent
Input Tokens	3.6	$0.00
Output Tokens	21.6	$0.02

* 1 credit ≈ $0.001 (actual charges may vary based on usage)

Quick Start

curl -X POST "https://api.core.today/llm/gemini/v1beta/openai/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "model": "gemini-3-flash",
  "messages": [
    {
      "role": "user",
      "content": "A researcher has 5 compounds. Compound A reacts with B to form C. C reacts with D only in the presence of a catalyst E. If only 3g of E is available and each reaction consumes 1g of catalyst, what is the maximum yield of the final product if we start with 10g each of A, B, and D?"
    }
  ],
  "max_tokens": 4096,
  "temperature": 0.5
}'

Parameters

Parameter	Type	Required	Default	Description
`messages`	array	Yes	-	Array of message objects (OpenAI format)
`temperature`	float	No	1	Sampling temperature (0-2)
`top_p`	float	No	0.95	Nucleus sampling parameter
`max_tokens`	integer	No	-	Maximum output tokens. Max: 65,536. Context window (input + output): 1,048,576 tokens.

Examples

Advanced Reasoning

Solve a complex multi-step reasoning problem

curl -X POST "https://api.core.today/llm/gemini/v1beta/openai/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "model": "gemini-3-flash",
  "messages": [
    {
      "role": "user",
      "content": "A researcher has 5 compounds. Compound A reacts with B to form C. C reacts with D only in the presence of a catalyst E. If only 3g of E is available and each reaction consumes 1g of catalyst, what is the maximum yield of the final product if we start with 10g each of A, B, and D?"
    }
  ],
  "max_tokens": 4096,
  "temperature": 0.5
}'

Code Review

Review and improve code with expert-level analysis

curl -X POST "https://api.core.today/llm/gemini/v1beta/openai/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "model": "gemini-3-flash",
  "messages": [
    {
      "role": "system",
      "content": "You are a senior software engineer. Provide detailed code review with severity levels and concrete fixes."
    },
    {
      "role": "user",
      "content": "Review this Python function for performance issues and security vulnerabilities, and suggest improvements."
    }
  ],
  "max_tokens": 2000,
  "temperature": 0.3
}'