DeepSeek: DeepSeek V3

Public pricingIntelligence 79/100Medium memoryツール利用

DeepSeek: DeepSeek V3 はテキストモデルで、コーディング、デバッグ、技術作業に向いています。高いコーディング性能、164K tokensのコンテキスト、バランス型コストの特性を組み合わせ、coding, debugging, and technical writing で安定した動作を支えます。品質・速度・コストが重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$0.32/1M

Output

$0.89/1M

Cached

$0.07/1M

Batch

$0.14/1M

Calculate your DeepSeek V3 bill.

Set your workload — see cost at your exact volume.

What would DeepSeek V3 cost you?

Adjust the workload to see your monthly bill.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

Technical specifications

DeepSeek V3 at a glance.

Memory

163,840

tokens

Max reply

163,840

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

deepseek

Released

Dec 2024

Training cutoff

Jul 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

mmlu
88.5
humaneval
83
aa_intelligence_index
16
gpqa_diamond
67.61
scipredict
19.18

What it can do

Capabilities & limits.

Understands images
Deep step-by-step thinking
Uses tools / calls functions
Strict JSON output
Streams replies
Fine-tunable on your data

When to pick DeepSeek V3

Agentic workflows that call tools or APIs.
High-volume workloads where unit cost matters.

When to look elsewhere

Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

DeepSeek V3 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, DeepSeek V3 costs roughly $60 per month. Input is $0.32 /1M tokens and output is $0.89 /1M tokens.

DeepSeek V3 has a 163,840-token context window (medium memory — a long report or a codebase file). That means you can fit about 30,720 words of input and history in a single call.

Beyond text generation, DeepSeek V3 supports calling functions / tools, strict JSON output. It streams replies by default.

DeepSeek V3 was released in December 2024, with training data cut off around July 2024.

Models in a similar class include DeepSeek V3.2 Exp, DeepSeek V3.2, DeepSeek V3.1 Terminus. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare DeepSeek V3 against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

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