DevTk.AI

DeepSeek V4

DeepSeek

DeepSeek V4 by DeepSeek costs $0.3/M input, $0.5/M output with 1.0M context window. Updated February 2026. Compare with GPT-5, Claude, Gemini & 40+ models.

Input Price

$0.30

per 1M tokens

Output Price

$0.50

per 1M tokens

Context Window

1.0M

tokens

Specifications

ProviderDeepSeek
Model IDdeepseek-v4
Input Price$0.3 / 1M tokens
Output Price$0.5 / 1M tokens
Context Window1.0M tokens
Max Output16K tokens
Capabilities
textfunction_callingstructured_output
Release Date2026-02
Notes1T params, hybrid reasoning + generation. Open-weight.

Monthly Cost Estimates

Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split).

Daily TokensMonthly CostAnnual Cost
10K $0.12 $1.44
50K $0.60 $7.20
100K $1.20 $14.40
500K $6.00 $72.00
1.0M $12.00 $144.00

About DeepSeek V4

DeepSeek V4 is a large language model by DeepSeek. It features a 1.0M token context window with up to 16K tokens of output per request. The model supports 3 capabilities: text, function_calling, structured_output.

At $0.3 per million input tokens and $0.5 per million output tokens, DeepSeek V4 is positioned as a cost-effective option in the DeepSeek lineup. Use our Token Counter to estimate how many tokens your prompts use, and our Pricing Calculator to compare costs across all models.

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FAQ

How much does DeepSeek V4 cost?

DeepSeek V4 costs $0.3 per million input tokens and $0.5 per million output tokens. For a typical workload of 100K tokens/day, expect approximately $1.65/month.

What is DeepSeek V4's context window?

DeepSeek V4 supports a context window of 1.0M tokens. This means your combined input prompt and output response can be up to 1.0M tokens. The maximum output per response is 16K tokens.

Is DeepSeek V4 good for my use case?

DeepSeek V4 supports text, function_calling, structured_output. As a budget-friendly model, it works well for high-volume tasks like classification, summarization, and simple generation. Use our Pricing Calculator to compare with alternatives.