GPT-5.4 Nano vs DeepSeek V4 Flash: the absolute bottom-tier cost face-off
Ultra-low-cost utility endpoints comparison.
For extremely high-frequency, low-budget tasks, ultra-lightweight models are perfect. GPT-5.4 Nano and DeepSeek V4 Flash are leading options.
Cost Comparison
Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.
DeepSeek V4 Flash
$0.85
GPT-5.4 Nano
$1.73
Gemini 3.5 Flash
$5.25
Claude Haiku 4.5
$8.00
Gemini 3.1 Pro (<=200k)
$17.00
GPT-5.4
$21.25
Claude Sonnet 4.6
$24.00
Claude Opus 4.7
$40.00
GPT-5.5
$42.50
Option A
GPT-5.4 Nano
Wins 1 of 4 compared specs
Option B
DeepSeek V4 Flash
Wins 3 of 4 compared specs
Side-by-side specs
| Spec | GPT-5.4 Nano | DeepSeek V4 Flash |
|---|---|---|
| Input Cost (per M) | $0.20 | $0.14 (better on this spec) |
| Output Cost (per M) | $1.25 | $0.28 (better on this spec) |
| Cached Input (per M) | $0.02 | $0.0028 (better on this spec) |
| Batch Discount | 50% (better on this spec) | 0% |
How they differ
GPT-5.4 Nano is priced at $0.20 per million input tokens and $1.25 per million output tokens. DeepSeek V4 Flash costs just $0.14 per million input and $0.28 per million output, featuring a 98% caching discount.
Verdict
DeepSeek V4 Flash is much cheaper, especially on output costs. It is the optimal choice for high-volume, low-cost operations.
Which should you pick?
Choose GPT-5.4 Nano
Ultra-budget OpenAI pipelines and rapid classification runs.
Choose DeepSeek V4 Flash
Extremely high-volume pipelines, text summaries, and low-cost databases.
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