DeepSeek V3.2 Exp (Non-reasoning)
DeepSeek • llm
Grande modelo de linguagem (llm) desenvolvido pela DeepSeek — Intelligence Index 28/100 no Artificial Analysis; US$ 0.275/1M tokens de entrada.
Specifications
Context Window
—
Input Price/1M
$0.28
Output Price/1M
$0.42
Parameters
—
Benchmarks
DeepSeek V3.2 Exp (Non-reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 25.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Coding | 73.2 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| LiveCodeBench | 55.0 | 100.0 | Artificial Analysis official API |
| SciCode | 40.0 | 100.0 | — |
| AA Coding Index | 30.0 | 100.0 | Artificial Analysis official API |
Data Analysis
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Data Analysis | 44.3 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 84.0 | 100.0 | — |
Language
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Language | 65.6 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 43.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Math | 64.4 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AIME 2025 | 58.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 57.7 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Global | 49.9 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Intelligence Index | 21.3 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 83.6 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 74.0 | 100.0 | Artificial Analysis official API |
| LiveBench Reasoning | 45.5 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| IFBench | 43.0 | 100.0 | — |
| HLE | 9.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 34.0 | 100.0 | — |
Information
- Release date
- September 29, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: DeepSeek V3.2 Exp (Non-reasoning)
What is DeepSeek V3.2 Exp (Non-reasoning)?
DeepSeek V3.2 Exp (Non-reasoning) is an AI model developed by DeepSeek, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via DeepSeek's cloud API.
Pricing & Costs in 2026
DeepSeek V3.2 Exp (Non-reasoning) is usage-based, priced at $0.28/1M input tokens and $0.42/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
DeepSeek V3.2 Exp (Non-reasoning) was evaluated on 20 different benchmarks, covering categories like Agentic, Coding, Data Analysis, Knowledge, Language, Long Context, Math, overall, Reasoning, Tool Use. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
DeepSeek V3.2 Exp (Non-reasoning) is suitable for a wide range of AI applications: high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, DeepSeek V3.2 Exp (Non-reasoning) competes directly with similarly capable models. DeepSeek competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is DeepSeek V3.2 Exp (Non-reasoning)?
DeepSeek V3.2 Exp (Non-reasoning) is an AI model developed by DeepSeek. It is a llm model.
How much does DeepSeek V3.2 Exp (Non-reasoning) cost?
DeepSeek V3.2 Exp (Non-reasoning) costs $0.28/1M input tokens and $0.42/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does DeepSeek V3.2 Exp (Non-reasoning) compare with other models?
In available benchmarks, DeepSeek V3.2 Exp (Non-reasoning) scored: Terminal-Bench Hard: 25/100, LiveBench Coding: 73.19/100, LiveCodeBench: 55/100. See the full table above for a detailed comparison.
Is DeepSeek V3.2 Exp (Non-reasoning) open source?
No, DeepSeek V3.2 Exp (Non-reasoning) is a proprietary model from DeepSeek. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is DeepSeek V3.2 Exp (Non-reasoning) best for?
DeepSeek V3.2 Exp (Non-reasoning) excels at general-purpose language tasks.
Last updated: July 17, 2026 • View methodology →