# Gemini 3.7 Flash - Core.Today AI API

> Google's Gemini 3.7 Flash (released 2026-08-13), an earlier release in the Gemini 3.x Flash line - newer Flash generations (3.8) are available. A 1M-token context window with 65,536 max output tokens, multimodal input, thinking and tool use, priced at $1.50 input / $7.50 output per million tokens with cached inputs at $0.15/M.

- **Provider**: Google
- **Model ID**: gemini-3.7-flash
- **Category**: LLM
- **Credits**: 1 per request
- **Speed**: Fast
- **Quality**: High

## Model Specifications
- **Context Window**: 1.0M tokens
- **Max Output**: 66K tokens
- **Training Cutoff**: 2025-01
- **Supported Formats**: text, json, markdown
- **Compatible SDK**: OpenAI, Google AI

### Capabilities
- Vision (image input)
- Function Calling
- Streaming
- JSON Mode
- System Prompt

### Token Pricing (per 1M tokens)
- **Input Tokens**: 2,787 credits ($1.86)
- **Output Tokens**: 13,935 credits ($9.29)
- **Cached Tokens**: 278.7 credits ($0.19)

## Features
- Gemini 3.7 Flash generation (released 2026-08-13)
- 1,048,576 token context window
- 65,536 max output tokens
- Multimodal input: text, image, audio, video, PDF
- Cached input pricing (90% discount)
- Function calling, structured outputs, thinking, search grounding, code execution

## Use Cases
- High-volume production chat workloads
- Multimodal understanding (image, video, audio, PDF)
- Long document and codebase analysis
- Data extraction and summarization at scale
- Repeated context with cached inputs (RAG)

## API Endpoint

Base URL: https://api.core.today
Endpoint: POST /llm/gemini/v1beta/openai/chat/completions

## Authentication
Header: Authorization: Bearer YOUR_API_KEY

Note: LLM endpoints use OpenAI-compatible format with Authorization Bearer token.

## Input Parameters

### Required
- **messages**: array - Array of message objects (OpenAI format). Supports text, image, audio, video, and PDF inputs.

### Optional
- **temperature**: float (default: 1) - Sampling temperature (0-2). Lower values produce more deterministic outputs.
- **max_tokens**: integer - Maximum output tokens. Max: 65,536. Context window (input + output): 1,048,576 tokens.
- **response_format**: object - Output format constraint. Use `{ type: 'json_object' }` for structured JSON output.
- **stream**: boolean (default: false) - Enable Server-Sent Events streaming.

## Examples

### Production Chat
High-throughput assistant responses with streaming
```json
{
  "model": "gemini-3.7-flash",
  "messages": [
    {
      "role": "user",
      "content": "Explain the difference between ECS and EKS briefly."
    }
  ],
  "stream": true,
  "max_tokens": 800
}
```

### Document Extraction
Pull structured fields out of a long document
```json
{
  "model": "gemini-3.7-flash",
  "messages": [
    {
      "role": "user",
      "content": "Summarize the attached contract PDF and list every deadline it mentions."
    }
  ],
  "response_format": {
    "type": "json_object"
  },
  "max_tokens": 2000
}
```

## Response Format
```json
{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Response text here"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 100,
    "completion_tokens": 50,
    "total_tokens": 150
  }
}
```

## Tips
- Same price as Gemini 3.8 Flash ($1.50/$7.50) - for new projects prefer the newest generation, gemini-3.8-flash; pin gemini-3.7-flash only if you need this version's behavior
- Use cached inputs ($0.15/M, 90% off) for repeated context
- Max output is 65,536 tokens - chunk very long generations
- Step down to Gemini 3.5 Flash Lite ($0.30/$2.50) for simple high-volume tasks
- Priority inference (serviceTier: priority) bills token charges at 1.8x; flex and batch discounts are not passed through and settle at the standard rate

## Documentation
https://ai.google.dev/gemini-api/docs