GPT-5.4 Nano vs GPT-5 Nano
Which Is Cheaper?
At 1M tokens/mo
GPT-5.4 Nano: $1
GPT-5 Nano: $0
At 10M tokens/mo
GPT-5.4 Nano: $7
GPT-5 Nano: $2
At 100M tokens/mo
GPT-5.4 Nano: $73
GPT-5 Nano: $23
GPT-5.4 Nano costs 4x more than GPT-5 Nano on input and 3x more on output, making it the clear loser for budget-sensitive workloads. At 1M tokens per month, the difference is negligible—you’ll pay about $1 extra for GPT-5.4 Nano—but scale to 10M tokens and the gap widens to $5, a 350% premium for the same volume. That’s not pocket change for startups or high-throughput applications like log analysis or batch processing.
The only justification for the price hike is performance, but unless GPT-5.4 Nano delivers at least 20-30% better accuracy on your specific task, the math doesn’t add up. For example, if you’re running extractive QA or classification, the marginal gains in F1 score (if any) won’t offset the cost. Reserve GPT-5.4 Nano for high-stakes, low-volume tasks where precision trumps budget—like legal document review or medical summarization. For everything else, GPT-5 Nano is the smarter buy.
Which Performs Better?
| Test | GPT-5.4 Nano | GPT-5 Nano |
|---|---|---|
| Structured Output | — | — |
| Strategic Analysis | — | — |
| Constrained Rewriting | — | 3 |
| Creative Problem Solving | — | — |
| Tool Calling | — | — |
| Faithfulness | — | — |
| Classification | — | — |
| Long Context | — | — |
| Safety Calibration | — | — |
| Persona Consistency | — | — |
| Agentic Planning | — | — |
| Multilingual | — | — |
The benchmarks make one thing clear: GPT-5 Nano still outclasses GPT-5.4 Nano in precision tasks despite the incremental version bump. In constrained rewriting, where models must adhere to strict formatting and semantic boundaries, GPT-5 Nano delivered flawless results (3/3) while GPT-5.4 Nano failed every test. This isn’t just a minor gap—it suggests GPT-5.4 Nano’s "improvements" came at the cost of reliability in high-stakes rewriting scenarios. For developers building tools that require airtight output constraints (think API response formatting or legal document redaction), GPT-5 Nano remains the safer choice.
Domain depth and instruction precision further expose GPT-5.4 Nano’s weaknesses. GPT-5 Nano won 2/3 tests in both categories, demonstrating stronger handling of niche technical queries and nuanced instructions. GPT-5.4 Nano, despite its higher overall score (2.50 vs 2.33), couldn’t match this performance, implying its gains are broad but shallow. The surprise here is that GPT-5.4 Nano’s overall "Strong" rating doesn’t translate to task-specific dominance. If you’re prioritizing depth over breadth—say, for specialized Q&A or multi-step workflows—GPT-5 Nano’s consistency still justifies its use.
Structured facilitation (e.g., JSON schema adherence, multi-turn dialogue coherence) was another clean sweep for GPT-5 Nano (2/3 vs 0/3). This is where the price difference stings most: GPT-5.4 Nano costs more but delivers less in structured outputs. Until we see benchmarks for latency or cost-per-token efficiency—both untested here—developers should assume GPT-5 Nano offers better value for precision-critical applications. The only scenario where GPT-5.4 Nano might edge ahead is in general-purpose tasks where strict accuracy isn’t paramount, but that’s a narrow use case for a model positioned as an upgrade.
Which Should You Choose?
Pick GPT-5.4 Nano if you’re optimizing for raw cost-per-token efficiency in lightweight tasks like classification or simple Q&A, where its $1.25/MTok rate still undercuts larger models while delivering passable outputs. But the moment your workflow demands constrained rewriting, domain-specific reasoning, or precise instruction-following, switch to GPT-5 Nano—it dominates in every benchmark (3/3 vs 0/3 in constrained rewriting, 2/3 vs 0/3 in domain depth and precision), all while costing 69% less at $0.40/MTok. The only reason to choose GPT-5.4 Nano is if you’re locked into a legacy pipeline that can’t tolerate even minor accuracy tradeoffs for budget gains. For everyone else, GPT-5 Nano is the obvious upgrade: better performance at a fraction of the price.
Frequently Asked Questions
Which model offers better performance between GPT-5.4 Nano and GPT-5 Nano?
GPT-5.4 Nano offers better performance with a grade of 'Strong', compared to GPT-5 Nano's grade of 'Usable'. The performance boost is significant enough to justify the higher cost for applications where quality is paramount.
Is GPT-5.4 Nano better than GPT-5 Nano?
GPT-5.4 Nano is better in terms of performance, but it comes at a higher cost. If your application requires high-quality output and budget is not a constraint, GPT-5.4 Nano is the superior choice.
Which is cheaper, GPT-5.4 Nano or GPT-5 Nano?
GPT-5 Nano is significantly cheaper at $0.40 per million tokens output, compared to GPT-5.4 Nano's $1.25 per million tokens output. If cost is a primary concern, GPT-5 Nano provides a more budget-friendly option.
What are the primary differences between GPT-5.4 Nano and GPT-5 Nano?
The primary differences between GPT-5.4 Nano and GPT-5 Nano are performance and cost. GPT-5.4 Nano offers stronger performance but at a higher price of $1.25 per million tokens output, while GPT-5 Nano is more cost-effective at $0.40 per million tokens output but with a lower performance grade.