DeepSeek, open weights

# DeepSeek-V3.2-Speciale

> DeepSeek-V3.2-Speciale by DeepSeek, released December 2025. Ranked #162 of 354 with a Noometry Index of 39.7. API: $0.58 in / $1.68 out per M tokens. 128K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/deepseek-v3-2-speciale
- Last updated: 2026-10-10
- Title: DeepSeek-V3.2-Speciale Benchmarks, Price & Rank (October 2026)

DeepSeek-V3.2-Speciale by DeepSeek ranks 162nd of 354 ranked models on the Noometry Index as of October 2026, with a score of 39.7. Its strongest category is reasoning, where it ranks 73rd. API pricing starts at $0.58 per million input tokens and $1.68 per million output tokens, with a 128K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #162 of 354
- **Index score:** 39.7
- **Evidence:** Reported 3 results
- **Provider:** [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek)
- **Released:** December 1, 2025
- **Weights:** Open weights
- **Reasoning:** Yes
- **Context window:** 128K
- **Max output:** 128K
- **Input price:** $0.58 / M
- **Output price:** $1.68 / M
- **Blended price:** $0.85 / M
- **Output speed:** Not measured
- **Value:** #102 of 219
- **Knowledge cutoff:** July 2024
- **Input:** text

## Category scores

Each category score combines every public result we have in that category.

DeepSeek-V3.2-Speciale category scores

1.  Coding 40.4
2.  Reasoning 32.9
3.  Writing & Preference 46.0
4.  253035404550

DeepSeek-V3.2-Speciale category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 40.4 | #140 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 32.9 | #73 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 46.0 | #222 | 1 |

## Strengths and weaknesses

Categories where DeepSeek-V3.2-Speciale places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

DeepSeek-V3.2-Speciale: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 32.9 | +9.3 | #73 of 350, top 21% |

### Weakest categories

DeepSeek-V3.2-Speciale: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Writing & Preference](https://noometry.com/best/writing) | 46.0 | −7.8 | #222 of 312, top 72% |

## Closest competitors

The models ranked just above and below DeepSeek-V3.2-Speciale. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to DeepSeek-V3.2-Speciale
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [GLM-4.5V](https://noometry.com/models/glm-4-5v) | #158 | 39.8 | $0.90 | 34 | [Compare](https://noometry.com/compare/deepseek-v3-2-speciale-vs-glm-4-5v) |
| [QwQ-32B](https://noometry.com/models/qwq-32b) | #159 | 39.8 | — | — | [Compare](https://noometry.com/compare/deepseek-v3-2-speciale-vs-qwq-32b) |
| [Step 1o Turbo 202506](https://noometry.com/models/step-1o-turbo-202506) | #160 | 39.7 | — | — | [Compare](https://noometry.com/compare/deepseek-v3-2-speciale-vs-step-1o-turbo-202506) |
| [Nova 2 Lite](https://noometry.com/models/nova-2-lite) | #161 | 39.7 | $0.85 | — | [Compare](https://noometry.com/compare/deepseek-v3-2-speciale-vs-nova-2-lite) |
| [Hunyuan Turbo 0110](https://noometry.com/models/hunyuan-turbo) | #163 | 39.6 | — | — | [Compare](https://noometry.com/compare/deepseek-v3-2-speciale-vs-hunyuan-turbo) |
| [Claude 3.7 Sonnet](https://noometry.com/models/claude-3-7-sonnet) | #164 | 39.5 | — | — | [Compare](https://noometry.com/compare/claude-3-7-sonnet-vs-deepseek-v3-2-speciale) |
| [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | #165 | 39.5 | $2 | — | [Compare](https://noometry.com/compare/claude-haiku-4-5-vs-deepseek-v3-2-speciale) |
| [DeepSeek-V3](https://noometry.com/models/deepseek-v3) | #166 | 39.5 | $0.41 | 73 | [Compare](https://noometry.com/compare/deepseek-v3-vs-deepseek-v3-2-speciale) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

DeepSeek-V3.2-Speciale Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [WeirdML](https://noometry.com/benchmarks/weirdml) | 46.7% | #55 of 119, top 47% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

DeepSeek-V3.2-Speciale Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SimpleBench](https://noometry.com/benchmarks/simplebench) | 52.6% | #39 of 77, top 51% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Writing & Preference

DeepSeek-V3.2-Speciale Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1276 | #80 of 115, top 70% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |

## API pricing by provider

DeepSeek-V3.2-Speciale API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [azure](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models) | $0.58 | $1.68 | — | 2026-10-10 |

[All DeepSeek API prices →](https://noometry.com/llm-pricing/deepseek) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare DeepSeek-V3.2-Speciale

-   [DeepSeek-V3.2-Speciale vs Nova 2 Lite](https://noometry.com/compare/deepseek-v3-2-speciale-vs-nova-2-lite)
-   [DeepSeek-V3.2-Speciale vs Hunyuan Turbo 0110](https://noometry.com/compare/deepseek-v3-2-speciale-vs-hunyuan-turbo)
-   [DeepSeek-V3.2-Speciale vs Step 1o Turbo 202506](https://noometry.com/compare/deepseek-v3-2-speciale-vs-step-1o-turbo-202506)
-   [DeepSeek-V3.2-Speciale vs Claude 3.7 Sonnet](https://noometry.com/compare/claude-3-7-sonnet-vs-deepseek-v3-2-speciale)
-   [DeepSeek-V3.2-Speciale vs QwQ-32B](https://noometry.com/compare/deepseek-v3-2-speciale-vs-qwq-32b)
-   [DeepSeek-V3.2-Speciale vs Claude Haiku 4.5](https://noometry.com/compare/claude-haiku-4-5-vs-deepseek-v3-2-speciale)
-   [DeepSeek-V3.2-Speciale vs GPT-6 Astra](https://noometry.com/compare/deepseek-v3-2-speciale-vs-gpt-6-astra)
-   [DeepSeek-V3.2-Speciale vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-deepseek-v3-2-speciale)
-   [DeepSeek-V3.2-Speciale vs Gemini 3.8 Flash](https://noometry.com/compare/deepseek-v3-2-speciale-vs-gemini-3-8-flash)
-   [DeepSeek-V3.2-Speciale vs Kimi K3](https://noometry.com/compare/deepseek-v3-2-speciale-vs-kimi-k3)
-   [DeepSeek-V3.2-Speciale vs Grok 4.6](https://noometry.com/compare/deepseek-v3-2-speciale-vs-grok-4-6)
-   [DeepSeek-V3.2-Speciale vs Qwen3.8 Max](https://noometry.com/compare/deepseek-v3-2-speciale-vs-qwen3-8-max)
-   [DeepSeek-V3.2-Speciale vs GLM-5.3](https://noometry.com/compare/deepseek-v3-2-speciale-vs-glm-5-3)
-   [DeepSeek-V3.2-Speciale vs Muse Spark 1.3](https://noometry.com/compare/deepseek-v3-2-speciale-vs-muse-spark-1-3)

## Other DeepSeek models

-   [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro)54.3
-   [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash)53.6
-   [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash)52.8
-   [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp)44.3
-   [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus)43.1
-   [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1)42.8
-   [DeepSeek-R1](https://noometry.com/models/deepseek-r1)42.3
-   [DeepSeek-V3](https://noometry.com/models/deepseek-v3)39.5

## Frequently asked questions

### How good is DeepSeek-V3.2-Speciale?

DeepSeek-V3.2-Speciale by DeepSeek ranks 162nd of 354 ranked models on the Noometry Index as of October 2026, with a score of 39.7. Its strongest category is reasoning, where it ranks 73rd. API pricing starts at $0.58 per million input tokens and $1.68 per million output tokens, with a 128K-token context window.

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

DeepSeek-V3.2-Speciale costs $0.58 per million input tokens and $1.68 per million output tokens on azure.

### What is DeepSeek-V3.2-Speciale's context window?

DeepSeek-V3.2-Speciale accepts up to 128K tokens of input and can write up to 128K tokens in one response.

### Is DeepSeek-V3.2-Speciale open source?

Yes. DeepSeek-V3.2-Speciale's weights are downloadable; check the license for commercial terms.

### What are DeepSeek-V3.2-Speciale's strengths and weaknesses?

Relative to other ranked models, DeepSeek-V3.2-Speciale places best in reasoning and lowest in writing & preference.

### What is DeepSeek-V3.2-Speciale best at?

Its best category is reasoning, where it ranks 73rd on Noometry.

### Cite this page

Noometry. (2026). DeepSeek-V3.2-Speciale benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/deepseek-v3-2-speciale

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/deepseek-v3-2-speciale.md).