DeepSeek: DeepSeek V3.1 Terminus
Analysis Summary
DeepSeek V3.1 Terminus is a high-capability model from DeepSeek with an intelligence index of 30.4 and a coding index of 43.5, placing it in the upper-mid tier of the current field. LiveCodeBench at 79.8% and GPQA at 79.2% are strong, and the math index of 89.7 reflects excellent quantitative reasoning. Tool use, function calling, and a 163K context window round out a capable technical profile.
For businesses, Terminus is well-suited to software engineering assistance, code review, technical analysis, and structured data workflows. Agentic index of 33.7 is moderate, supporting tool-augmented pipelines without reaching the reliability of top agentic models. Instruction following (aa_ifbench 0.570) and long-context reasoning (aa_lcr 0.650) are both above average.
At $0.27 input and $0.95 output, pricing is competitive for the capability delivered. Teams needing strong coding and reasoning at a reasonable cost, and already comfortable with DeepSeek's API, will find Terminus a practical production choice.
Assessed July 10, 2026
Editorial notes
DeepSeek V3.1 Terminus delivers strong coding (43.5 coding index, 79.8% LiveCodeBench) and solid reasoning at competitive pricing, with tool use and a 163K context window.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V3.1 Terminus delivers strong coding (43.5 coding index, 79.8% LiveCodeBench) and solid reasoning at competitive pricing, with tool use and a 163K context window.
How DeepSeek: DeepSeek V3.1 Terminus compares
DeepSeek: DeepSeek V3.1 Terminus ranks #89 of 393 AI models we track for overall intelligence, #50 of 157 for coding, #191 of 300 for agentic tasks. Its 131K-token context window is larger than 57% of the models we list. At $0.27 per million input tokens it is cheaper than 46% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in content corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.27 | $0.000270 |
| Output | $1.00 | $0.001000 |
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 612 models ā 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..
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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 $1.00 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 131,072 tokens (131K).
Is DeepSeek: DeepSeek V3.1 Terminus good for coding?
On our coding benchmark index, DeepSeek: DeepSeek V3.1 Terminus ranks #50 of 157 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.
