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DeepSeek V3.2 (Chat) vs GPT-5.4 Nano

Complete pricing and performance comparison between DeepSeek's DeepSeek V3.2 (Chat) and OpenAI's GPT-5.4 Nano.

Quick Verdict

Cheaper
GPT-5.4 Nano (input) / DeepSeek V3.2 (Chat) (output)
Input: 1.4x diff, Output: 3.0x diff
Larger Context
GPT-5.4 Nano
400K vs 128K

Pricing Comparison

SpecDeepSeek V3.2 (Chat)GPT-5.4 NanoDifference
ProviderDeepSeekOpenAI
Input / 1M tokens$0.28$0.2GPT-5.4 Nano is 29% more expensive
Output / 1M tokens$0.42$1.25DeepSeek V3.2 (Chat) is 66% more expensive
Context Window128K400K3x difference
Max Output8K128K
Tokenizercl100k_baseo200k_base

Performance Benchmarks

MetricDeepSeek V3.2 (Chat)GPT-5.4 NanoWinner
Quality Index32--N/A
Output Speed34 tok/s--N/A
Value (Quality/$)114.6--Higher = better value

Benchmark data from Artificial Analysis. Quality Index is a composite score across reasoning, coding, and knowledge tasks.

Cost at Scale

Estimated cost at different usage levels (3:1 input-to-output token ratio, typical for chat).

UsageDeepSeek V3.2 (Chat)GPT-5.4 NanoSavings
Single request
1K in / 300 out
$0.0004$0.0006Same
10 requests
10K in / 3K out
$0.0041$0.0057DeepSeek V3.2 (Chat) saves $0.0017
100 requests
100K in / 30K out
$0.041$0.058DeepSeek V3.2 (Chat) saves $0.017
1,000 requests
1M in / 300K out
$0.406$0.575DeepSeek V3.2 (Chat) saves $0.169
10,000 requests
10M in / 3M out
$4.06$5.75DeepSeek V3.2 (Chat) saves $1.69
1M requests/mo
1B in / 300M out
$406.00$575.00DeepSeek V3.2 (Chat) saves $169.00

Pros & Cons

DeepSeek V3.2 (Chat) Strengths

  • +Cheaper output tokens

GPT-5.4 Nano Strengths

  • +Cheaper input tokens
  • +Larger context window (400K vs 128K)
  • +Higher max output tokens

When to Use Each Model

Choose DeepSeek V3.2 (Chat) for

  • Projects already integrated with DeepSeek's ecosystem

Choose GPT-5.4 Nano for

  • Long documents, large codebases, or multi-turn conversations
  • Generating long-form content or detailed code

Frequently Asked Questions

Which is cheaper, DeepSeek V3.2 (Chat) or GPT-5.4 Nano?
For input tokens, GPT-5.4 Nano is 1.4x cheaper at $0.2/1M tokens. For output tokens, DeepSeek V3.2 (Chat) is 3.0x cheaper at $0.42/1M tokens. At typical usage (1M input + 300K output), DeepSeek V3.2 (Chat) costs $0.406 vs GPT-5.4 Nano at $0.575.
What's the context window difference?
DeepSeek V3.2 (Chat) supports 128K context (128,000 tokens), while GPT-5.4 Nano supports 400K (400,000 tokens). GPT-5.4 Nano can handle 3x more context in a single request.
Which model has better benchmarks?
When should I choose DeepSeek V3.2 (Chat) over GPT-5.4 Nano?
Choose DeepSeek V3.2 (Chat) when you need: Cheaper output tokens. Choose GPT-5.4 Nano when you need: Cheaper input tokens, Larger context window (400K vs 128K), Higher max output tokens.
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): DeepSeek V3.2 (Chat) = $4.06, GPT-5.4 Nano = $5.75. At 10K input + 1K output per request (longer conversations): DeepSeek V3.2 (Chat) = $32.20, GPT-5.4 Nano = $32.50.

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