⚡Under $0.50/hr🧠VRAM Estimator⚖Compare GPUs🎁Free LLM APIs🎯Model Index
ReasoningMoEContext: 125K

DeepSeek V3

Comprehensive deployment profile and benchmark telemetry for DeepSeek V3. Self-hosting memory footprints, verified token economics, and direct API endpoints.

Verified Engineering Benchmarks

SWE-bench
45.2%
LiveCodeBench
61.6%
MATH-500
95.8%
MMLU
88.5%

VRAM Requirements & Sizing

FP16 Weights
1340 GB
INT4 / GGUF (Quantized)
670 GB
Recommended GPU
8x H200
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🖥️ Compatible GPUs & Self-Host Pricing

Deterministic VRAM math from entity graph. Green = fits in single GPU.

GPUVRAMFP16FP8INT4Calculator Link
H100 SXM580 GBOOMOOMOOMPre-filled →
H200141 GBOOMOOMOOMPre-filled →
B200192 GBOOMOOMOOMPre-filled →
A100 80GB80 GBOOMOOMOOMPre-filled →
L40S48 GBOOMOOMOOMPre-filled →
RTX 409024 GBOOMOOMOOMPre-filled →

Active API Providers & Free Tiers

ProviderInput / 1MOutput / 1MSpeedFree Tier Status
DeepSeek$0.14$0.2835 tok/sPaid API Only
OpenRouter$0.14$0.2830 tok/sPaid API Only

OpenAI SDK Drop-in

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.deepseek.com/v1",
  apiKey: process.env.DEEPSEEK_API_KEY,
});

const response = await client.chat.completions.create({
  model: "deepseek-v3",
  messages: [{ role: "user", content: "Hello" }],
});

What should I do next?