Primary use stated or inferred cautiously from official documentation.
D
DEEPSEEK / deepseek-v3.2
DeepSeek V3.2
Open model focused on reasoning and agents, with thinking integrated into tool use.
01 / SUMMARY
The essential
Maximum input capacity when published by the source.
Documented maximum generation limit.
Verified availability channels.
Primary functional family and verified specialties.
Declared terms for API access, model weights, or self-hosting.
02 / TECHNICAL SHEET
Limits and integration
| API ID | deepseek-v3.2 |
|---|---|
| Model type | Text and reasoning · Code |
| Access model | API and open weights |
| License | DeepSeek model license |
| Deployment | API, local, or private cloud |
| Release | 1 DIC 2025 |
| Knowledge cutoff | Not published |
| Entrance | Text |
| Exit | Text |
| Context window | 128,000 tokens |
| maximum output | Not published |
| Reasoning | Modes with and without reasoning |
| Published tools | Functions with reasoning |
| Structured Outings | Not applicable or not published |
| Batch processing | Not published |
| Prompt cache | Not published |
| Fine-tuning | Downloadable weights |
| Verified platforms | DeepSeek API · Hugging Face |
Reasoning, agents, and controlled deployment.
Distinguish V3.2 from the temporary Speciale variant and verify the license and infrastructure requirements.
03 / CAPABILITIES
What it can do
Orientation
Reasoning, agents, and controlled deployment.
Context
128,000 tokens · Not published
Tools and integration
Functions with reasoning
Access
DeepSeek API and weights
Input modalities
Text
04 / PRICES
Documented cost
| Concept | Worth | Unit/condition |
|---|---|---|
| Standard input | Not published | Standard API rate |
| Cached input | Not published | Reading reused prefixes |
| Cache write or storage | Not published | The condition varies by provider |
| Standard output | Not published | May include reasoning tokens |
| Batch input | Not published | Asynchronous processing |
| Batch output | Not published | Asynchronous processing |
Consult the primary source: the billing unit depends on the model type and access channel.
i Prices change and may depend on level, region or context length. Check the source before making a decision.
05 / EVALUATIONS
How to read the results
“
A public benchmark provides guidance, but does not replace an evaluation with your data, tools, budget, and error tolerance.
| Benchmark | Result | Metric | Source |
|---|---|---|---|
| Evaluaciones DeepSeek V3.2 | Published GPT‑5 level | Reasoning and agents | View source ↗ |
Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.
06 / VERSIONS
Chronology
DeepSeek V3.2
Version added to Inferama's verified catalog.
ANALYSIS
Related analysis
DeepSeek V3.2 with Tools: How to Audit Reasoning State Before Keeping or Migrating an Agent
An operational guide to checking whether an integration preserves the state required across DeepSeek, tools, and the user. It includes reproducible tests, logging criteria, and limits on what can be concluded from `reasoning_content`.
28 Sep 2026 ↗
DeepSeek R1 vs. DeepSeek V3.2: how to choose between explicit reasoning and efficiency in a reviewable workflow
A useful comparison between DeepSeek R1 and DeepSeek V3.2 does not begin with a published benchmark, but with an organization’s own task, a frozen corpus, and an explicit definition of material error. This protocol makes it possible to measure whether R1’s additional deliberation reduces errors and human review, or whether V3.2 reaches the same threshold with lower latency, consumption, and complexity.
22 Sep 2026 ↗07 / SOURCES