DeepSeek-V3.1 API

deepseek/deepseek-chat-v3.1
DeepSeek V3.1 is a high-efficiency hybrid AI model optimized for fast, direct responses without deep reasoning, supporting extensive multimodal inputs and large context windows.
Context
128K tokens
Input
$0.89401 / 1M tokens
Output
$2.33818 / 1M tokens
Released
Aug 28, 2025

How to use DeepSeek-V3.1 API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to deepseek/deepseek-chat-v3.1.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "deepseek/deepseek-chat-v3.1",
      "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-chat-v3.1",
    "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-chat-v3.1","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

DeepSeek-V3.1 API Pricing

TypePrice
Input
$0.89401 / 1M tokens
Output
$2.33818 / 1M tokens
Cached input
$0.75647 / 1M tokens

DeepSeek-V3.1 Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
SWE-bench Verified
66.0%
Resolving verified real GitHub issuesSourceJuly 12, 2026
LiveCodeBench
56.4%
Contamination-free competitive programming problemsSourceJuly 12, 2026
GPQA Diamond
74.9%
Google-proof graduate science questions (hardest subset)SourceJuly 12, 2026
AIME 2025
49.8%
Competition mathematics (AIME), 2025SourceJuly 12, 2026
Intelligence
13.7
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
Math
49.7
Composite score across standardised mathematics evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026

DeepSeek-V3.1 vs other models

ModelInputOutputContextBest for
DeepSeek-V3.1
This page
$0.89401 / 1M tokens
$2.33818 / 1M tokens
128K tokens
Coding + agents
$6.5 / 1M tokens
$39 / 1M tokens
1.05M tokens
Reasoning + agents
$2.6 / 1M tokens
$13 / 1M tokens
1M tokens
Balanced coding + agents
$3.9 / 1M tokens
$19.5 / 1M tokens
1M tokens
Long-context, multimodal & agentic workflows
$0.65 / 1M tokens
$3.9 / 1M tokens
1.05M tokens
Reasoning + agents

Frequently asked questions

DeepSeek-V3.1 has a 128,000 tokens context window and can return up to 8,000 tokens.

DeepSeek-V3.1 takes text as input and returns text.

Use deepseek/deepseek-chat-v3.1 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

DeepSeek-V3.1 became available on August 28, 2025.

DeepSeek-V3.1 is priced at input $0.89401 / 1M tokens, output $2.33818 / 1M tokens, cached input $0.75647 / 1M tokens.

Yes, DeepSeek-V3.1 can stream responses as they are generated.

DeepSeek-V3.1 was built by DeepSeek.

Yes, its capabilities include reasoning alongside function calling and structured outputs.

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