DeepSeek: DeepSeek V3

Public pricingIntelligence 79/100Medium memoryटूल उपयोग

DeepSeek: DeepSeek V3 एक टेक्स्ट मॉडल है, जिसे कोडिंग, डिबगिंग और तकनीकी कार्य के लिए बनाया गया है। यह मजबूत coding प्रदर्शन, 164K tokens का context और संतुलित लागत profile जोड़कर coding, debugging, and technical writing में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

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.

1,00010,00050,000250,0001M10M

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?

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