# Qwen3.8 27B - Core.Today AI API

> Qwen3.8 27B served through the OpenRouter aggregator - an open-weight dense vision-language model for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking mode and a 256K-token context. Billed at OpenRouter's actual usage cost.

- **Provider**: Alibaba Qwen
- **Model ID**: qwen/qwen3.8-27b
- **Category**: LLM
- **Credits**: 3 per 1K tokens (avg, estimate)
- **Speed**: Fast
- **Quality**: High

## Model Specifications
- **Context Window**: 262K tokens
- **Max Output**: 131K tokens
- **Training Cutoff**: Not published
- **Supported Formats**: text, json, markdown
- **Compatible SDK**: OpenAI

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

### Token Pricing (per 1M tokens)
- **Input Tokens**: 836.1 credits ($0.56)
- **Output Tokens**: 5,945.6 credits ($3.96)

## Features
- Open-weight 27B dense vision-language model
- 256K-token context window with up to 131K output tokens
- Multimodal input (text, image, video) with flexible thinking mode
- OpenAI-compatible API (chat completions) via /llm/openrouter/v1
- Billed at OpenRouter's actual usage.cost - listed rates are estimates

## Use Cases
- Coding assistants and professional document workflows
- Multimodal chat over images and video
- Long-running agent tasks with tool use

## API Endpoint

Base URL: https://api.core.today
Endpoint: POST /llm/openrouter/v1/chat/completions

## Authentication
Header: Authorization: Bearer YOUR_API_KEY

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

## Input Parameters

### Required
- **model**: string - Model ID in vendor/model form, e.g. "qwen/qwen3.8-27b".
- **messages**: array - Chat messages in OpenAI format (system/user/assistant roles).

### Optional
- **temperature**: number (default: 0.7) - Sampling temperature (0-2).
- **max_tokens**: integer (default: 2048) - Maximum completion tokens.
- **stream**: boolean (default: false) - Stream the response as server-sent events.

## Examples

### Chat completion
OpenAI-compatible chat completion request via OpenRouter
```json
{
  "model": "qwen/qwen3.8-27b",
  "messages": [
    {
      "role": "user",
      "content": "Summarize the attached report in 5 bullets."
    }
  ],
  "max_tokens": 1024
}
```

## 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
- Works with the OpenAI SDK - set base_url to https://ai.api.core.today/llm/openrouter/v1
- Charged at OpenRouter's usage.cost x 1,858 credits/USD - the listed rates are estimates and may lag OpenRouter price changes
- Output tokens cost several times more than input - keep max_tokens tight for short answers, and use the reasoning parameter only when the task benefits from thinking mode

## Documentation
https://openrouter.ai/qwen/qwen3.8-27b