DeepSeek V4 Pro API
Pay 86% less.
On input and output tokens, compared with official prices.
OpenAI-compatible · Pay as you go
deepseek-v4-proDeepSeek V4 Pro
overview.
DeepSeek V4 Pro is the Pro model in the V4 family; the external reference below identifies the 0813 release. Its published input is text, in contrast with the visual understanding listed for V4.1 Flash. A Pro label does not establish a better score than a later Flash release, so compare the actual entries in the chart.
Published model specifications
OPTIONAL / CONNECTIONAPI request example
Set the model ID and base URL in your OpenAI-compatible client.
https://aelder.dev/v1Compare DeepSeek model prices or follow the Python and JavaScript SDK setup. n8n connection guide covers a small text workflow.
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AELDER_API_KEY"],
base_url="https://aelder.dev/v1",
)
response = client.chat.completions.create(
model="deepseek-v4-pro",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.AELDER_API_KEY,
baseURL: "https://aelder.dev/v1",
});
const response = await client.chat.completions.create({
model: "deepseek-v4-pro",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);curl https://aelder.dev/v1/chat/completions \
-H "Authorization: Bearer $AELDER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-pro",
"messages": [{"role": "user", "content": "Hello!"}]
}'deepseek-v4-proChat CompletionsDeepSeek V4 Pro benchmarks.
Compare models in the AELDER catalog on the same external measure. The Artificial Analysis Intelligence Index combines evaluations of model capability. Higher is better; the score is not a percentage.
Artificial Analysis Intelligence Index
VERSION 4.3.2 · INDEX POINTS · HIGHER IS BETTER| Model | Source configuration | Index |
|---|---|---|
| Claude Opus 5.5 | Claude Opus 5.5 (Max, Default Fallback) | 58 |
| Claude Sonnet 5.5 | Claude Sonnet 5.5 (Max, Default Fallback) | 56 |
| Claude Fable 5.1 | Claude Fable 5.1 (Max, Default Fallback) | 53 |
| GPT 6 Astra | GPT-6 Astra (Max) | 53 |
| GPT 6.1 Sol | GPT-6.1 Sol (Max) | 52 |
| Claude Opus 5 | Claude Opus 5 (Max) | 51 |
| Claude Fable 5 | Claude Fable 5 (Max, Opus 4.8 Fallback) | 50 |
| GPT 6 Sol | GPT-6 Sol (Max) | 48 |
| GPT 5.6 Sol | GPT-5.6 Sol (Max) | 47 |
| DeepSeek V4.1 Flash | DeepSeek V4.1 Flash 1017 (Max) | 45 |
| GLM 5.3 | GLM-5.3 (Max) | 45 |
| Qwen3.8 Max 0902 | Qwen3.8 Max (0902) | 45 |
| Grok 4.6 | Grok 4.6 (Xhigh) | 44 |
| Kimi K3 | Kimi K3 (Max) | 44 |
| Claude Haiku 5.5 | Claude Haiku 5.5 (Max) | 43 |
| Claude Opus 4.8 | Claude Opus 4.8 (Max) | 42 |
| GLM 5.3 Flash | GLM-5.3-Flash | 42 |
| GPT 5.6 Terra | GPT-5.6 Terra (Max) | 42 |
| Claude Opus 4.7 (1M) | Claude Opus 4.7 (Max) | 41* |
| Gemini 3.8 Flash | Gemini 3.8 Flash (High) | 41 |
| Qwen3.8 2.4T-A95B | Qwen3.8 2.4T A95B | 40 |
| Qwen3.8 Max | Qwen3.8 Max | 40 |
| Claude Sonnet 5 | Claude Sonnet 5 (Max) | 38 |
| GPT 6 Luna | GPT-6 Luna (Max) | 38 |
| GPT 5.6 Luna | GPT-5.6 Luna (Max) | 37 |
| DeepSeek V4 ProCurrent | DeepSeek V4 Pro 0813 (Max) | 36 |
| GLM 5.2 | GLM-5.2 (Max) | 34 |
| Qwen3.8 27B | Qwen3.8 27B (Xhigh) | 34 |
| GPT 5.3 Codex | GPT-5.3 Codex (Xhigh) | 33* |
| Claude Opus 4.6 | Claude Opus 4.6 (Max) | 32* |
| Claude Sonnet 4.6 | Claude Sonnet 4.6 (Max) | 30 |
| Gemini 3.1 Pro | Gemini 3.1 Pro Preview | 30 |
| Claude Opus 4.5 | Claude Opus 4.5 (Reasoning) | 29* |
| MiniMax M3 | MiniMax-M3 | 29 |
| Kimi K2.6 | Kimi K2.6 (Reasoning) | 27 |
| GLM 5.1 | GLM-5.1 (Reasoning) | 26 |
| Kimi K2.7 Code | Kimi K2.7 Code | 26 |
| Hy3 | Hy3 | 25 |
| DeepSeek V4 Flash | DeepSeek V4 Flash 0420 (Max) · April 2026 reference | 24 |
| Kimi K2.5 | Kimi K2.5 (Reasoning) | 23* |
| MiniMax M2.7 | MiniMax-M2.7 | 23 |
DeepSeek V4 Flash uses the April 0420 release reference, labelled in the chart and table. External results refer to the labelled source configurations, which may differ from AELDER’s configuration. They do not measure AELDER API speed or uptime. Source score markers (*) are preserved.
Why are 4 catalog models missing a score?
41 of 45 catalog models have a source reference on this index version. A missing result is not a zero score. These models remain in the catalog.
DeepSeek V4 Pro alternatives.
DeepSeek V4 Pro
questions, answered.
How does V4 Pro compare with V4.1 Flash?
Can the published V4 Pro model read images?
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