Skip to main content
TC
TokenCost

DeepSeek R1 vs GPT-5.4 Nano

Complete pricing and performance comparison between DeepSeek's DeepSeek R1 and OpenAI's GPT-5.4 Nano.

Quick Verdict

Cheaper
GPT-5.4 Nano
6.8x cheaper input, 4.3x cheaper output
Larger Context
GPT-5.4 Nano
400K vs 128K

Pricing Comparison

SpecDeepSeek R1GPT-5.4 NanoDifference
ProviderDeepSeekOpenAI
Input / 1M tokens$1.35$0.2GPT-5.4 Nano is 85% more expensive
Output / 1M tokens$5.4$1.25GPT-5.4 Nano is 77% more expensive
Context Window128K400K3x difference
Max Output33K128K
Tokenizercl100k_baseo200k_base

Performance Benchmarks

MetricDeepSeek R1GPT-5.4 NanoWinner
Quality Index27--N/A
Value (Quality/$)20.1--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 R1GPT-5.4 NanoSavings
Single request
1K in / 300 out
$0.0030$0.0006GPT-5.4 Nano saves $0.0024
10 requests
10K in / 3K out
$0.030$0.0057GPT-5.4 Nano saves $0.024
100 requests
100K in / 30K out
$0.297$0.058GPT-5.4 Nano saves $0.240
1,000 requests
1M in / 300K out
$2.97$0.575GPT-5.4 Nano saves $2.40
10,000 requests
10M in / 3M out
$29.70$5.75GPT-5.4 Nano saves $23.95
1M requests/mo
1B in / 300M out
$2970.00$575.00GPT-5.4 Nano saves $2395.00

Pros & Cons

DeepSeek R1 Strengths

Part of the DeepSeek ecosystem

GPT-5.4 Nano Strengths

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

When to Use Each Model

Choose DeepSeek R1 for

  • Projects already integrated with DeepSeek's ecosystem

Choose GPT-5.4 Nano for

  • Budget-conscious projects where cost is the primary factor
  • Long documents, large codebases, or multi-turn conversations
  • Generating long-form content or detailed code

Frequently Asked Questions

Which is cheaper, DeepSeek R1 or GPT-5.4 Nano?
For input tokens, GPT-5.4 Nano is 6.8x cheaper at $0.2/1M tokens. For output tokens, GPT-5.4 Nano is 4.3x cheaper at $1.25/1M tokens. At typical usage (1M input + 300K output), DeepSeek R1 costs $2.97 vs GPT-5.4 Nano at $0.575.
What's the context window difference?
DeepSeek R1 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 R1 over GPT-5.4 Nano?
Choose DeepSeek R1 when you need: a DeepSeek ecosystem model. Choose GPT-5.4 Nano when you need: Cheaper input tokens, Cheaper output 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 R1 = $29.70, GPT-5.4 Nano = $5.75. At 10K input + 1K output per request (longer conversations): DeepSeek R1 = $189.00, GPT-5.4 Nano = $32.50.

Related Comparisons