DeepSeek: DeepSeek V3.2 Exp
Analysis Summary
DeepSeek V3.2 Exp is an experimental release with an intelligence index of 21.3 and an agentic index of 29.5. LiveCodeBench at 0.554 and MMLU Pro at 0.836 show reasonable general and coding capability, while the very low pricing ($0.27 input / $0.41 output) makes it one of the most cost-efficient options with benchmark data in this batch.
For businesses, this model suits cost-sensitive coding assistance, structured content generation, and lightweight tool-augmented workflows. The 163K context window is adequate for most tasks. As an experimental release, production stability should be validated before full deployment, and the intelligence index of 21.3 limits suitability for complex reasoning.
A -4 point regional accessibility adjustment applies. Teams prioritising cost efficiency and comfortable with DeepSeek's infrastructure will find strong value here; others should weigh the experimental status and provider considerations against more established alternatives.
Assessed June 30, 2026
Editorial notes
DeepSeek V3.2 Exp offers competitive coding and tool use at very low pricing ($0.27 input / $0.41 output), though reasoning depth and agentic reliability are limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How DeepSeek: DeepSeek V3.2 Exp compares
DeepSeek: DeepSeek V3.2 Exp ranks #128 of 385 AI models we track for overall intelligence, #147 of 293 for agentic tasks. Its 164K-token context window is larger than 61% of the models we list. At $0.27 per million input tokens it is cheaper than 45% of comparable models.
About DeepSeek: DeepSeek V3.2 Exp
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism..
Capabilities
Architecture Detail
| Instruct Type | deepseek-v3.1 |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does DeepSeek: DeepSeek V3.2 Exp stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.27 | $0.000270 |
| Output | $0.41 | $0.000410 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about DeepSeek: DeepSeek V3.2 Exp
How much does DeepSeek: DeepSeek V3.2 Exp cost?
DeepSeek: DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens.
What is the context window of DeepSeek: DeepSeek V3.2 Exp?
DeepSeek: DeepSeek V3.2 Exp has a context window of 163,840 tokens (164K).
What can DeepSeek: DeepSeek V3.2 Exp do?
DeepSeek: DeepSeek V3.2 Exp supports tool use and function calling.
Who created DeepSeek: DeepSeek V3.2 Exp?
DeepSeek: DeepSeek V3.2 Exp is developed by DeepSeek and was released on September 29, 2025.
