Last verified 2026-10-07 (left) · 2026-05-15 (right)

DeepSeek V4 Pro (0813) vs GPT-5.4 mini — Pricing & Capability Comparison

DeepSeek V4 Pro (0813) charges $1.32 per million input tokens and $3.96 per million output tokens. GPT-5.4 mini comes in at $0.75 / $4.50. Context windows span 1M vs 400K tokens respectively.

Standard API rates shown; taxes, tools, regional fees, and long-context premiums may differ. Sources: DeepSeek pricing · OpenAI pricing.

TL;DR — Quick Comparison

✓GPT-5.4 mini is cheaper overall: $5.25 for 1M input + 1M output tokens vs $5.28 for DeepSeek V4 Pro (0813) — saves $0.03 on that workload
✓Input pricing: DeepSeek V4 Pro (0813) $1.32/1M vs GPT-5.4 mini $0.75/1M
✓Output pricing: DeepSeek V4 Pro (0813) $3.96/1M vs GPT-5.4 mini $4.50/1M
✓Context window: DeepSeek V4 Pro (0813) offers more (1M vs 400K)
✓Use our calculator below to estimate costs for your specific usage pattern

Input price (per 1M)

DeepSeek V4 Pro (0813)

$1.32

GPT-5.4 mini

$0.75

GPT-5.4 mini leads here

Output price (per 1M)

DeepSeek V4 Pro (0813)

$3.96

GPT-5.4 mini

$4.50

DeepSeek V4 Pro (0813) leads here

Context window

DeepSeek V4 Pro (0813)

1,000,000 tokens

GPT-5.4 mini

400,000 tokens

DeepSeek V4 Pro (0813) leads here

Cached input

DeepSeek V4 Pro (0813)

$0.044

GPT-5.4 mini

$0.075

DeepSeek V4 Pro (0813) leads here

Which one should you choose?

Skip the spreadsheet if you just need the practical takeaway. Use these rules when deciding between DeepSeek V4 Pro (0813) and GPT-5.4 mini.

Choose GPT-5.4 mini if input tokens dominate your bill

GPT-5.4 mini has the lower input rate, which usually matters most for chat, RAG, classification, and long-prompt workflows where prompt volume stays much larger than generated output.

Choose DeepSeek V4 Pro (0813) if you generate long answers

DeepSeek V4 Pro (0813) is cheaper on output tokens, so it tends to win for report generation, coding assistance, reasoning traces, and any workflow where completions are long.

Choose DeepSeek V4 Pro (0813) if context size is the blocker

DeepSeek V4 Pro (0813) offers the larger published context window, which is more important than small pricing differences when you need to fit large files, long chats, or multi-document prompts into one request.

Cost comparison for 10K-token workloads

Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.

Scenario	DeepSeek V4 Pro (0813)	GPT-5.4 mini	DeepSeek V4 Pro (0813) cached	GPT-5.4 mini cached
Balanced conversation 50% input · 50% output	$0.0264	$0.0262	$0.0200	$0.0229
Input-heavy workflow 80% input · 20% output	$0.0185	$0.0150	$0.0083	$0.0096
Generation heavy 30% input · 70% output	$0.0317	$0.0338	$0.0279	$0.0317
Cached system prompt 90% cached input · 10% fresh output	$0.0158	$0.0112	$0.0044	$0.0052

Frequently asked questions

Which is cheaper: DeepSeek V4 Pro (0813) or GPT-5.4 mini?

GPT-5.4 mini is cheaper for input tokens at $0.75 per 1M tokens compared to $1.32. For output, DeepSeek V4 Pro (0813) costs $3.96 per 1M tokens versus $4.50 for GPT-5.4 mini.

What is the cost per 1M tokens for DeepSeek V4 Pro (0813)?

DeepSeek V4 Pro (0813) pricing: $1.32 per 1M input tokens and $3.96 per 1M output tokens. Context window: 1,000,000 tokens.

What is the cost per 1M tokens for GPT-5.4 mini?

GPT-5.4 mini pricing: $0.75 per 1M input tokens and $4.50 per 1M output tokens. Context window: 400,000 tokens.

How much does it cost per 1K tokens?

Per 1K tokens: DeepSeek V4 Pro (0813) costs $0.0013 input / $0.0040 output. GPT-5.4 mini costs $0.0008 input / $0.0045 output. This is useful for calculating small-scale usage costs.

Which model supports a larger context window?

DeepSeek V4 Pro (0813) offers 1,000,000 tokens (1M) versus 400K for GPT-5.4 mini.

What is the estimated monthly cost for typical usage?

For a typical workload of 10M input + 2M output tokens per month: DeepSeek V4 Pro (0813) would cost approximately $21.12, while GPT-5.4 mini would cost $16.50. GPT-5.4 mini is more economical for this usage pattern.

Do these models support prompt caching?

DeepSeek V4 Pro (0813) supports prompt caching at $0.044 per 1M cached tokens, reducing costs for repeated context by up to 97%. GPT-5.4 mini supports caching at $0.075 per 1M tokens, saving up to 90%.

Which model is best for my use case?

Choose GPT-5.4 mini for cost-sensitive applications with high input volume. Choose DeepSeek V4 Pro (0813) if you need 1M context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.