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DeepSeekReleased on Dec 1, 2025

DeepSeek-V3.2-Speciale: API Pricing, Context Window & Benchmarks

DeepSeek-V3.2-Speciale is a language model from DeepSeek, released in December 2025.

DeepSeek-V3.2-Speciale is a specialized variant of DeepSeek-V3.2, optimized for enhanced performance on specific tasks.

Input
Text
Output
Text

DeepSeek-V3.2-Speciale benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for DeepSeek-V3.2-Speciale across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How DeepSeek-V3.2-Speciale holds up as conversations get longer.

Quality Tracker

DeepSeek-V3.2-Speciale Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Sun Sep 06 2026
Notice missing or incorrect data?

DeepSeek-V3.2-Speciale pricing

Providers

DeepSeek-V3.2-Speciale starts at $0.280 per million input tokens and $0.420 per million output tokens via DeepSeek.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
DeepSeek logoDeepSeek
$0.280$0.420131.1K/131.1K
1.00
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

DeepSeek-V3.2-Speciale model size

DeepSeek-V3.2-Speciale has 685 billion parameters. See how it compares to other models in the same parameter range.

Parameters
685BMoE
Frontier (200B+)
685B
1B7B70B405B

DeepSeek-V3.2-Speciale context window

Input and output token limits for DeepSeek-V3.2-Speciale, plus how it ranks on long-context understanding.

InputOutput
131Ktokens
131Ktokens
197 pages of text
131K
8K128K1M

DeepSeek-V3.2-Speciale API

Available from the model provider

DeepSeek-V3.2-Speciale has an official provider API. It is not currently routed through the LLM Stats gateway.

Read the official API documentation

DeepSeek-V3.2-Speciale latency

DeepSeek-V3.2-Speciale time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

DeepSeek-V3.2-Speciale examples

Recent arena outputs from DeepSeek-V3.2-Speciale, picked from the highest-ranked matchups.

DeepSeek-V3.2-Speciale license

DeepSeek-V3.2-Speciale is released under the MIT license, which permits commercial use, has 685.0B parameters.

License
MIT
Commercial use allowed
Parameters
685.0B

MIT License - allows commercial use

DeepSeek-V3.2-Speciale resources

Official sources for DeepSeek-V3.2-Speciale: api documentation, official playground.

DeepSeek-V3.2-Speciale vs other models

The most-compared alternatives to DeepSeek-V3.2-Speciale are Gemini 3 Flash, GPT-5 High, Qwen3.5-397B-A17B. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like DeepSeek-V3.2-Speciale

Models ranked just above and below DeepSeek-V3.2-Speciale by LLM Stats score.

 

Gemini 3 Flash

Score pending
 

GPT-5 High

Score pending
 

Qwen3.5-397B-A17B

Score pending
 

Sarvam-105B

Score pending
 

Qwen3.6 Plus

Score pending
 

Claude Sonnet 4

Score pending

FAQ

Common questions about DeepSeek-V3.2-Speciale.

When was DeepSeek-V3.2-Speciale released?

DeepSeek-V3.2-Speciale was released on December 1, 2025 by DeepSeek. This is the official DeepSeek-V3.2-Speciale release date tracked on LLM Stats.

How much does DeepSeek-V3.2-Speciale cost?

DeepSeek-V3.2-Speciale pricing starts at $0.28 per million input tokens and $0.42 per million output tokens via DeepSeek, the lowest price among tracked providers.

Is DeepSeek-V3.2-Speciale available via API?

Yes, DeepSeek-V3.2-Speciale is available via API. See the official documentation for authentication and endpoint details. It is served by 1 provider tracked on LLM Stats.

How big is DeepSeek-V3.2-Speciale?

DeepSeek-V3.2-Speciale has 685 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created DeepSeek-V3.2-Speciale?

DeepSeek-V3.2-Speciale was created by DeepSeek.

What is the license for DeepSeek-V3.2-Speciale?

DeepSeek-V3.2-Speciale is released under the MIT license. This is an open-source / open-weight license that permits self-hosting.

What is DeepSeek-V3.2-Speciale latency?

DeepSeek-V3.2-Speciale p95 time to first token is 1.00 seconds via DeepSeek over the trailing 7 days. Lower time to first token means the model begins responding sooner for chat, agents and API workloads.

Where can I use DeepSeek-V3.2-Speciale?

DeepSeek-V3.2-Speciale is available through 1 provider including DeepSeek.

What models should I compare DeepSeek-V3.2-Speciale against?

Common DeepSeek-V3.2-Speciale comparisons include DeepSeek-V3.2-Speciale vs Gemini 3 Flash, DeepSeek-V3.2-Speciale vs GPT-5 High, DeepSeek-V3.2-Speciale vs Qwen3.5-397B-A17B. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.