comparison
GPT-5.4 nano vs DeepSeek V4 Flash
Token pricing, context window and real monthly cost, side by side. DeepSeek V4 Flash is the cheaper of the two for a typical workload — about 2.6× less.
Positioned by published specs — size, context and modality — not measured performance; a smaller model can sometimes outperform a larger one on your task.
By size & context, DeepSeek V4 Flash (Mid) sits above GPT-5.4 nano (Nano) yet costs less. On spec it's the straightforward pick; choose GPT-5.4 nano only for something it offers that DeepSeek V4 Flash doesn't — modality, provider or ecosystem.
| metric | GPT-5.4 nano | DeepSeek V4 Flash |
|---|---|---|
| Input / 1M | $0.20 | $0.14 |
| Output / 1M | $1.25 | $0.28 |
| Context | 400K | 1.0M |
| Technical class | Nano | Mid |
| Cost @ typical workload | $185/mo | $70.00/mo |
| Modality | text + image | Text only |
| Price source | list | list |
| Provider | OpenAI | DeepSeek |
Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →
Which should you pick?
On a typical workload, DeepSeek V4 Flash costs $70.00/mo against GPT-5.4 nano's $185/mo — roughly 2.6× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. If you need to fit more in a single prompt, DeepSeek V4 Flash has the larger 1.0M-token window (~1,573 pages). Only GPT-5.4 nano accepts image input — decisive if your prompts include images. By technical class (size and context, not measured capability), DeepSeek V4 Flash is the larger class (Mid) and the cheaper of the two — on spec, the stronger pick here.
These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures. The technical-class read above is likewise spec-based — size, context and modality, not measured performance — so a smaller model can still outperform a larger one on your specific task.
Frequently asked questions
Is GPT-5.4 nano or DeepSeek V4 Flash cheaper?
For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), DeepSeek V4 Flash costs $70.00/mo versus $185/mo for GPT-5.4 nano — about 2.6× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.
What's the main difference between GPT-5.4 nano and DeepSeek V4 Flash?
On price, GPT-5.4 nano is $0.20/$1.25 per 1M (in/out) and DeepSeek V4 Flash is $0.14/$0.28. By technical class (size & context) it's Nano (GPT-5.4 nano) versus Mid (DeepSeek V4 Flash). DeepSeek V4 Flash has the larger context window at 1.0M tokens. Only GPT-5.4 nano accepts image input.
Is DeepSeek V4 Flash in the same class as GPT-5.4 nano?
No. By size & context, DeepSeek V4 Flash is a Mid and GPT-5.4 nano is a Nano — 2 classes apart, so they're not drop-in substitutes. This is a spec comparison (size, context, modality), not a measured-performance one; a smaller model can still win on a task it's suited to.
More comparisons
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- GPT-5.4 mini vs GPT-5.4 nano
- GPT-5.4 nano vs gpt-oss-120b
- Claude Haiku 4.5 vs GPT-5.4 nano
- Gemini 2.5 Flash vs GPT-5.4 nano
Related
- GPT-5.4 nano and DeepSeek V4 Flash — full specs and price history.
- API cost calculator — compare on your own workload.
- All comparisons — the full head-to-head index.