DeepSeek: DeepSeek V3.1
Analysis Summary
DeepSeek V3.1 is the latest iteration in DeepSeek's V3 family, released August 2025. Its math index of 89.7 and livecodebench score of 0.784 are strong for its price tier, and its mmlu_pro of 0.851 indicates broad knowledge coverage. Tool use and function calling are supported across a 163K context window, making it capable for structured automation and content workflows.
For businesses, it fits well in high-volume content generation, SEO workflows, structured data extraction, and coding assistance where cost efficiency is a priority. Its ifbench score of 0.415 is moderate, and its agentic index of 31.2 limits its reliability for complex multi-step autonomous tasks. Long-context reasoning at 0.533 is adequate for most document-length inputs.
At $0.21 input and $0.79 output per million tokens, it offers strong price-performance for text-only workloads. A -4 point regional accessibility adjustment applies given DeepSeek's provider profile. Teams comfortable with DeepSeek's API and data handling policies will find it a cost-effective workhorse for content and coding pipelines.
Assessed June 30, 2026
Editorial notes
DeepSeek V3.1 delivers strong math and coding benchmarks with tool use and function calling at very low cost, though its intelligence index of 20.7 limits complex reasoning tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How DeepSeek: DeepSeek V3.1 compares
DeepSeek: DeepSeek V3.1 ranks #133 of 385 AI models we track for overall intelligence, #142 of 293 for agentic tasks. Its 164K-token context window is larger than 61% of the models we list. At $0.21 per million input tokens it is cheaper than 49% of comparable models.
About DeepSeek: DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context..
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 V3.1 stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.21 | $0.000210 |
| Output | $0.79 | $0.000790 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about DeepSeek: DeepSeek V3.1
How much does DeepSeek: DeepSeek V3.1 cost?
DeepSeek: DeepSeek V3.1 costs $0.21 per million input tokens and $0.79 per million output tokens.
What is the context window of DeepSeek: DeepSeek V3.1?
DeepSeek: DeepSeek V3.1 has a context window of 163,840 tokens (164K).
What can DeepSeek: DeepSeek V3.1 do?
DeepSeek: DeepSeek V3.1 supports tool use and function calling.
Who created DeepSeek: DeepSeek V3.1?
DeepSeek: DeepSeek V3.1 is developed by DeepSeek and was released on August 21, 2025.
