DeepSeek: DeepSeek V3.1 Terminus
Analysis Summary
DeepSeek V3.1 Terminus sits in the mid-tier of the current landscape, with an intelligence index of 28.5 and a coding index of 31.9. It supports tool use and function calling, and its math performance is strong at 53.7. The 163K context window is workable for most business tasks, though not class-leading.
For businesses, it fits moderate-complexity coding assistance, structured data tasks, and automated workflows where cost matters. The agentic index of 34.5 is reasonable but not competitive with the top-tier agents in the field. Instruction following is average, and long-context reliability is modest.
Pricing is competitive at $0.27 input and $0.95 output per million tokens, making it a reasonable choice for cost-sensitive pipelines. Teams already familiar with the DeepSeek ecosystem will find it a capable workhorse, but businesses prioritising agentic reliability or frontier reasoning should look higher up the stack.
Assessed June 9, 2026
Editorial notes
DeepSeek V3.1 Terminus offers good reasoning and coding capability with tool use and function calling, at competitive pricing; limited enterprise adoption tempers its business reach.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How DeepSeek: DeepSeek V3.1 Terminus compares
DeepSeek: DeepSeek V3.1 Terminus ranks #119 of 377 AI models we track for overall intelligence, #83 of 314 for coding, #128 of 289 for agentic tasks. Its 164K-token context window is larger than 62% of the models we list. At $0.27 per million input tokens it is cheaper than 44% of comparable models.
About DeepSeek: DeepSeek V3.1 Terminus
DeepSeek-V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's..
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 Terminus 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 | $0.95 | $0.000950 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about DeepSeek: DeepSeek V3.1 Terminus
How much does DeepSeek: DeepSeek V3.1 Terminus cost?
DeepSeek: DeepSeek V3.1 Terminus costs $0.27 per million input tokens and $0.95 per million output tokens.
What is the context window of DeepSeek: DeepSeek V3.1 Terminus?
DeepSeek: DeepSeek V3.1 Terminus has a context window of 163,840 tokens (164K).
Is DeepSeek: DeepSeek V3.1 Terminus good for coding?
On our coding benchmark index, DeepSeek: DeepSeek V3.1 Terminus ranks #83 of 314 models, placing it in the broader range of the field for code generation and debugging.
What can DeepSeek: DeepSeek V3.1 Terminus do?
DeepSeek: DeepSeek V3.1 Terminus supports tool use and function calling.
Who created DeepSeek: DeepSeek V3.1 Terminus?
DeepSeek: DeepSeek V3.1 Terminus is developed by DeepSeek and was released on September 22, 2025.
