DeepSeek V3.2

Name: DeepSeek V3.2
Author: DeepSeek

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fin

by DeepSeek(0) 0 installs

Free

Free account. Installing gives you the manifest plus copy-paste snippets.

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About

Reference model card from the OpenRouter listing - model deepseek/deepseek-v3.2. Prices are per million tokens as listed; ratings and installs below are from this marketplace.

DeepSeek V3.2

Facts


Vendor	DeepSeek
Context window	163,840 tokens
Max output	65,536 tokens
Input price	$0.27 / 1M tokens
Output price	$0.40 / 1M tokens
Input	text
Output	text
Tool calling	yes
Structured outputs	yes
Reasoning	yes
Open weights	deepseek-ai/DeepSeek-V3.2

Endpoint: https://openrouter.ai/api/v1 (OpenAI-compatible), model deepseek/deepseek-v3.2

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

# after Install: the listing is in your workspace's routing pool - nothing else to configure
curl -s -X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'
# or pin it on the OpenAI-compatible endpoint: {"model": "model-deepseek-deepseek-v3-2", ...}

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

model-deepseek-deepseek-v3-2.ocm.jsonjson

{
  "ocm": "1",
  "id": "model-deepseek-deepseek-v3-2",
  "kind": "llm",
  "name": "DeepSeek V3.2",
  "description": "DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...",
  "publisher": "DeepSeek",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "llm",
      "deepseek",
      "openrouter",
      "open-weights",
      "reasoning",
      "tool-calling",
      "models"
    ],
    "languages": [
      "en"
    ],
    "modalities": [
      "text"
    ],
    "supports_tools": true,
    "supports_streaming": true,
    "context_window": 163840
  },
  "quality_prior": 0.6,
  "examples": [
    "DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism..."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "models",
      "ref": "1764594642",
      "url": "https://openrouter.ai/deepseek/deepseek-v3.2",
      "key": "deepseek/deepseek-v3.2",
      "catalogue": "https://openrouter.ai/api/v1"
    },
    "model": "deepseek/deepseek-v3.2",
    "pricing": {
      "input_usd_per_1m": 0.269,
      "output_usd_per_1m": 0.4,
      "cache_read_usd_per_1m": 0.1345
    },
    "max_output_tokens": 65536,
    "output_modalities": [
      "text"
    ],
    "hugging_face_id": "deepseek-ai/DeepSeek-V3.2",
    "reasoning": true,
    "created": 1764594642,
    "benchmarks": {
      "coding_index": 44.2,
      "hub_downloads": 2318007,
      "hub_downloads_total": 24245435,
      "hub_trending": 2,
      "hub_likes": 1488
    }
  },
  "cost": {
    "usd_per_1k_tokens": 0.000334
  },
  "endpoints": [
    {
      "protocol": "openai",
      "url": "https://openrouter.ai/api/v1"
    }
  ]
}

Fetch it by URL: GET /api/v1/registry/model-deepseek-deepseek-v3-2/manifest?version=1.0.0

About

DeepSeek V3.2

Facts

Use it

Manifest

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