How much does DeepSeek V3 cost?

DeepSeek V3 costs $0.27 per million input tokens and $1.1 per million output tokens. The blended average is $0.69 per million tokens.

What is the context window of DeepSeek V3?

DeepSeek V3 supports a context window of 128K tokens (128,000 tokens) and can generate up to 8K output tokens per request.

What is DeepSeek V3 best for?

DeepSeek V3 is best for: Best open-source value. It supports chat, code, function_calling capabilities. It is open-source under the DeepSeek License license.

DeepSeek V3 — Pricing, Benchmarks & Specs

DeepSeek V3

DeepSeekbalancedOpen Source

671B MoE model with 37B active parameters. Outstanding price-performance ratio and coding ability.

Context Window

128K

tokens

Max Output

tokens

Input Price

$0.27

per 1M tokens

Output Price

$1.1

per 1M tokens

Speed

tokens/sec

Released

Mar 2025

2025-03-24

Blended Cost

$0.69

per 1M tokens

Value Score

125.5

quality per $

Capabilities

ChatCode GenerationFunction Calling

Benchmarks

Quality Index

MMLU Pro

87.5

HumanEval (Coding)

90.8

MATH

82.6

Arena ELO

1310

Try in Playground Use via Swfte Connect DeepSeek Docs

Compare With

Open Source — Licensed under DeepSeek License

About DeepSeek V3

DeepSeek V3 is a balanced AI model by DeepSeek, released on March 24, 2025. It supports a context window of 128K tokens and can generate up to 8K output tokens.

At $0.27 per million input tokens and $1.1 per million output tokens, its blended cost of $0.69/1M tokens makes it one of the most affordable models available. Its value score of 125.5 reflects the balance of quality and cost.

DeepSeek V3 is available as an open-source model under the DeepSeek License license, meaning you can self-host it for predictable costs or use it through API providers like Swfte Connect.

Using DeepSeek V3 with Swfte

Access DeepSeek V3 through Swfte Connect, our unified LLM gateway. Connect gives you a single API for 50+ models, with automatic routing, cost optimization, and fallback handling. You can also try DeepSeek V3 in our AI Playground before integrating.