DeepSeek: DeepSeek V3.1 Terminus
Analysis Summary
DeepSeek V3.1 Terminus is a technically focused model with a 163K context window, strong coding results, and support for tool use and function calling. Its intelligence profile is in the good range, but the agentic result is materially weaker than its coding capability, so it is better at producing technical work than independently coordinating long task sequences.
For businesses, it fits code generation, debugging, repository assistance, technical documentation, and API-connected workflows. The large context supports substantial codebases and specifications, while the low input and output prices make it practical for repeated engineering calls. Text-only operation limits visual debugging and multimodal content workflows.
Use Terminus as a cost-efficient coding specialist and supervised tool user. It can carry meaningful production workload, but high-autonomy agents and critical client decisions should include validation or a stronger reasoning model.
Assessed August 9, 2026
Editorial notes
DeepSeek V3.1 Terminus pairs strong coding capability with a 163K context window, tool use, function calling, and competitive pricing; its weaker agentic results call for supervision in autonomous workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V3.1 Terminus pairs strong coding capability with a 163K context window, tool use, function calling, and competitive pricing; its weaker agentic results call for supervision in autonomous workflows.
How DeepSeek: DeepSeek V3.1 Terminus compares
DeepSeek: DeepSeek V3.1 Terminus ranks #121 of 424 AI models we track for overall intelligence, #79 of 197 for coding, #96 of 179 for agentic tasks. Its 164K-token context window is larger than 52% of the models we list. At $0.27 per million input tokens it is cheaper than 49% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.27 | $0.000270 |
| Output | $0.95 | $0.000950 |
What would DeepSeek: DeepSeek V3.1 Terminus cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 701 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save DeepSeek: DeepSeek V3.1 Terminus for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
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 #79 of 197 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.
