DeepSeek: DeepSeek V3.2
Analysis Summary
DeepSeek V3.2 is a capable general-purpose model from DeepSeek with tool use and function calling support. Its coding and agentic benchmarks are solid for its price tier, and the intelligence index sits in the limited-to-good range. The 131K context window is adequate for most business tasks.
For businesses, the model suits coding assistance, structured content generation, and moderate agentic workflows. Instruction-following scores are reasonable, and the tau2 agentic reliability score is strong. However, there is no vision support, which limits its applicability to text-only pipelines.
At $0.23 input and $0.34 output, pricing is very competitive. A regional accessibility adjustment applies given the provider's limited enterprise support infrastructure. Teams comfortable with self-hosting or API access may find strong value here, but those requiring enterprise-grade support and data residency guarantees should factor in those constraints.
Assessed June 30, 2026
Editorial notes
DeepSeek V3.2 offers strong coding and agentic performance with tool use and function calling at very low pricing, though it carries a regional accessibility penalty for enterprise deployments.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How DeepSeek: DeepSeek V3.2 compares
DeepSeek: DeepSeek V3.2 ranks #63 of 385 AI models we track for overall intelligence, #52 of 293 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.23 per million input tokens it is cheaper than 48% of comparable models.
About DeepSeek: DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does DeepSeek: DeepSeek V3.2 stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.23 | $0.000229 |
| Output | $0.34 | $0.000343 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about DeepSeek: DeepSeek V3.2
How much does DeepSeek: DeepSeek V3.2 cost?
DeepSeek: DeepSeek V3.2 costs $0.23 per million input tokens and $0.34 per million output tokens.
What is the context window of DeepSeek: DeepSeek V3.2?
DeepSeek: DeepSeek V3.2 has a context window of 131,072 tokens (131K).
What can DeepSeek: DeepSeek V3.2 do?
DeepSeek: DeepSeek V3.2 supports tool use and function calling.
Who created DeepSeek: DeepSeek V3.2?
DeepSeek: DeepSeek V3.2 is developed by DeepSeek and was released on December 1, 2025.
