# deepseek/deepseek-v3.2 > DeepSeek v3.2 is the latest production release in the DeepSeek V3 family: a large, reasoning-first open-weight language model family designed for long-context understanding, robust agent/tool use, advanced reasoning, coding and math. ## Overview - **Endpoint**: `https://api.shortapi.ai/v1/chat/completions` - **Model ID**: `deepseek/deepseek-v3.2` - **Category**: llm - **Kind**: text-generation ## Pricing 163,840 context · $0.028/M input (cache hit) · $0.28/M input (cache miss) · $0.42/M output For more details, please check our pricing page. ## API Information This model can be used via our HTTP API or more conveniently via our client libraries. See the input and output schema below, as well as the usage examples. ### Input Schema The API accepts the following input parameters (standard OpenAI format): - **`model`** (`string`, _required_): Model ID - **`messages`** (`array`, _required_): List of conversation messages - **`role`** (`string`, _required_): Message Role - Options: "system", "user", "assistant", "tool", "developer" - **`content`** (`string | array`, _required_): Message content - **`type`** (`string`, _optional_): - Options: "text", "image_url", "input_audio", "file", "video_url" - **`text`** (`string`, _optional_): - **`image_url`** (`object`, _optional_): - **`url`** (`string`, _required_): Image URL or base64 - **`detail`** (`string`, _optional_): - Options: "auto", "low", "high" - **`input_audio`** (`object`, _optional_): - **`data`** (`string`, _optional_): Base64 encoded audio data - **`format`** (`string`, _optional_): - Options: "wav", "mp3" - **`file`** (`object`, _optional_): - **`file_id`** (`string`, _required_): File ID - **`filename`** (`string`, _optional_): - **`file_data`** (`string`, _optional_): - **`video_url`** (`object`, _optional_): - **`url`** (`string`, _optional_): - **`name`** (`string`, _optional_): Sender's Name - **`tool_calls`** (`array`, _optional_): - **`id`** (`string`, _required_): - **`type`** (`string`, _required_): - **`function`** (`object`, _optional_): - **`name`** (`string`, _optional_): - **`arguments`** (`string`, _optional_): - **`tool_call_id`** (`string`, _optional_): Tool invocation ID (used for messages of the tool role) - **`reasoning_content`** (`string`, _optional_): Reasoning content - **`temperature`** (`number`, _optional_): Sampling temperature - Default: `1` - Range: `0` to `2` - **`top_p`** (`number`, _optional_): Nuclear sampling parameters - Default: `1` - Range: `0` to `1` - **`stream`** (`boolean`, _optional_): Is it a streaming response? - Default: `false` - **`stream_options`** (`object`, _optional_): - **`include_usage`** (`boolean`, _optional_): - **`stop`** (`string | array`, _optional_): Stop sequence - **`max_tokens`** (`integer`, _optional_): Maximum number of generated tokens - **`max_completion_tokens`** (`integer`, _optional_): Maximum number of completed tokens - **`presence_penalty`** (`number`, _optional_): - Default: `0` - Range: `-2` to `2` - **`frequency_penalty`** (`number`, _optional_): - Default: `0` - Range: `-2` to `2` - **`logit_bias`** (`object`, _optional_): - **`user`** (`string`, _optional_): - **`tools`** (`array`, _optional_): - **`type`** (`string`, _required_): - **`function`** (`object`, _required_): The function definition - **`name`** (`string`, _required_): - **`description`** (`string`, _optional_): - **`parameters`** (`object`, _optional_): Parameter definitions in JSON Schema format - **`tool_choice`** (`string | object`, _optional_): - **`type`** (`string`, _optional_): - **`function`** (`object`, _optional_): The function definition - **`name`** (`string`, _optional_): - **`response_format`** (`object`, _optional_): - **`type`** (`string`, _optional_): - Options: "text", "json_object", "json_schema" - **`schema`** (`object`, _optional_): JSON Schema definition - **`seed`** (`integer`, _optional_): - **`reasoning_effort`** (`string`, _optional_): Inference strength (the model used to support the inference) - Options: "low", "medium", "high" - **`modalities`** (`array`, _optional_): - **`audio`** (`object`, _optional_): - **`format`** (`string`, _optional_): - **`voice`** (`string`, _optional_): ### Output Schema The API returns a standard OpenAI JSON response. ```json { "id": "chatcmpl-abc123", "object": "chat.completion", "created": 1677858242, "model": "gpt-4", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Hello! How can I help you today?" }, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 10, "completion_tokens": 25, "total_tokens": 35, "prompt_tokens_details": { "cached_tokens": 0, "text_tokens": 10, "audio_tokens": 0, "image_tokens": 0 }, "completion_tokens_details": { "text_tokens": 25, "audio_tokens": 0, "reasoning_tokens": 0 } }, "system_fingerprint": "fp_44709d6fcb" } ``` ## Use Example ### Bash (cURL) ```bash curl --request POST \ --url https://api.shortapi.ai/v1/chat/completions \ --header "Authorization: Bearer $SHORTAPI_KEY" \ --header "Content-Type: application/json" \ --data '{ "model": "deepseek/deepseek-v3.2", "messages": [ { "role": "system", "content": "You are a helpful assistant." }, { "role": "user", "content": "Hello, how are you?" } ], "temperature": 0.7, "max_tokens": 8192 }' ``` ### JavaScript (Fetch API) ```javascript const response = await fetch(`https://api.shortapi.ai/v1/chat/completions`, { method: "POST", headers: { "Authorization": `Bearer ${SHORTAPI_KEY}`, "Content-Type": "application/json" }, body: JSON.stringify({ model: "deepseek/deepseek-v3.2", messages: [ { role: "system", content: "You are a helpful assistant." }, { role: "user", content: "Hello, how are you?" } ], temperature: 0.7, max_tokens: 8192 }) }); const data = await response.json(); ``` ### Python (Requests) ```python import requests url = "https://api.shortapi.ai/v1/chat/completions" payload = { "model": "deepseek/deepseek-v3.2", "messages": [ { "role": "system", "content": "You are a helpful assistant." }, { "role": "user", "content": "Hello, how are you?" } ], "temperature": 0.7, "max_tokens": 8192 } headers = { "Authorization": f"Bearer {SHORTAPI_KEY}", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) data = response.json() ```