What is DeepSeek V3.1 API?
DeepSeek-V3.1 is the latest advanced LLM with improved architecture and performance across various natural language tasks.
Technical Specifications
- Supported inputs: Text
- Output: Text
- Context window: 128,000 tokens / Max output: 8,000 tokens
- Endpoint: /chat/completions
Performance Benchmarks
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DeepSeek V3.1 API Pricing
- Input: $0.351 / 1M tokens
- Output: $1.235 / 1M tokens
Where to Use DeepSeek V3.1
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
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Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "deepseek/deepseek-non-reasoner-v3.1-terminus", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "deepseek/deepseek-non-reasoner-v3.1-terminus", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"deepseek/deepseek-non-reasoner-v3.1-terminus","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 15.4 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Coding | 43.5 | Composite score across standardised coding evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Math | 89.7 | Composite score across standardised mathematics evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| MMLU-Pro | 85.0 | Multi-discipline knowledge + reasoning (harder MMLU) | Source | September 22, 2026 |
| GPQA Diamond | 80.7 | Google-proof graduate science questions (hardest subset) | Source | September 22, 2026 |
| Humanity's Last Exam | 21.7 | Expert-level questions across many domains | Source | September 22, 2026 |
| LiveCodeBench | 74.9 | Contamination-free competitive programming problems | Source | September 22, 2026 |
| SWE-bench Verified | 68.4 | Resolving verified real GitHub issues | Source | September 22, 2026 |
| Terminal-Bench | 36.7 | Autonomous shell/terminal task completion | Source | September 22, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
DeepSeek-V3.1 Terminus This page | Coding + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
DeepSeek-V3.1 Terminus has a 128,000 tokens context window and can return up to 8,000 tokens.
DeepSeek-V3.1 Terminus takes text as input and returns text.
Use deepseek/deepseek-non-reasoner-v3.1-terminus as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
DeepSeek-V3.1 Terminus is priced at input $0.371358 / 1M tokens, output $1.3754 / 1M tokens, cached input $0.371358 / 1M tokens.
Yes, DeepSeek-V3.1 Terminus can stream responses as they are generated.
DeepSeek-V3.1 Terminus was built by DeepSeek.