Calculate the cost of using deepseek-v3.2-speciale from Azure for your AI applications
Pricing data last updated:
Mode: Chat
Max: 163,840 tokens
Max: 163,840 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
deepseek-v3.2-speciale is a chat model from Azure, one of 223 chat models they offer. It is priced at $0.58 per 1M input tokens and $1.68 per 1M output tokens, ranking 1662 out of 3254 chat models by cost and cheaper than 49% of models in this category. deepseek-v3.2-speciale supports function calling, reasoning, prompt caching. It accepts up to 164K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 163,840 input tokens. The maximum output length is 163,840 tokens.
At $0.58 per 1M input tokens and $1.68 per 1M output tokens, deepseek-v3.2-speciale ranks 1662 out of 3254 chat models by input cost. It is more expensive compared to the median of $0.52 for chat models, and is cheaper than 49% of models in this category.
deepseek-v3.2-speciale is one of 223 Azure chat models, with support for function calling, reasoning, prompt caching.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs deepseek-v3.2-speciale |
|---|---|---|---|---|
| databricks-gemini-3-flash | Databricks | $0.63 | $3.75 | +8% |
| deepseek-r1 | DeepSeek | $0.55 | $2.19 | -5% |
| gemini-3-flash-preview | Vertex AI | $0.50 | $3.00 | -14% |
Similar chat models from other providers
Yes. deepseek-v3.2-speciale costs $0.58 per 1M input tokens compared to databricks-gemini-3-flash's $0.63 per 1M input tokens, making it 8% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching.
deepseek-v3.2-speciale input pricing is $0.58 per 1M tokens, which is 12% above the median of $0.52 for chat models. It ranks 1662 out of 3254 chat models by input cost, making it cheaper than 49% of models in this category. For output, it costs $1.68 per 1M tokens compared to the median of $1.50.
Among Azure's 223 chat models, deepseek-v3.2-speciale ranks 69 by input cost.
The most comparable chat models to deepseek-v3.2-speciale are: databricks-gemini-3-flash from Databricks ($0.63/1M input tokens); deepseek-r1 from DeepSeek ($0.55/1M input tokens); gemini-3-flash-preview from Vertex AI ($0.50/1M input tokens); gemini-3-flash-preview from Google Gemini ($0.50/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
You can monitor Azure AI service health in real time on the Bifrost Azure AI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
deepseek-v3.2-speciale is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.58 and generating 1M output tokens costs $1.68.