| Signal | GPT-5.4 Nano | Delta | GPT-5.4 Pro |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 90 | -- | |
Pricing | 99 | +94 | |
Context window size | 89 | -7 | |
Recency | 100 | -- | |
Output Capacity | 85 | -- | |
| Overall Result | 1 wins | of 6 | 1 wins |
Score History
79.3
current score
GPT-5.4 Pro
right now
91.9
current score
OpenAI
OpenAI
GPT-5.4 Nano saves you $11917.50/month
That's $143010.00/year compared to GPT-5.4 Pro at your current usage level of 100K calls/month.
| Metric | GPT-5.4 Nano | GPT-5.4 Pro | Winner |
|---|---|---|---|
| Overall Score | 79 | 92 | GPT-5.4 Pro |
| Rank | #42 | #1 | GPT-5.4 Pro |
| Quality Rank | #42 | #1 | GPT-5.4 Pro |
| Adoption Rank | #42 | #1 | GPT-5.4 Pro |
| Parameters | -- | -- | -- |
| Context Window | 400K | 1050K | GPT-5.4 Pro |
| Pricing | $0.20/$1.25/M | $30.00/$180.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | GPT-5.4 Nano |
| Benchmarks | 90 | 90 | GPT-5.4 Nano |
| Pricing | 99 | 5 | GPT-5.4 Nano |
| Context window size | 89 | 96 | GPT-5.4 Pro |
| Recency | 100 | 100 | GPT-5.4 Nano |
| Output Capacity | 85 | 85 | GPT-5.4 Nano |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 79/100 (rank #42), placing it in the top 86% of all 290 models tracked.
Scores 92/100 (rank #1), placing it in the top 100% of all 290 models tracked.
GPT-5.4 Pro has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
GPT-5.4 Nano offers 99% better value per quality point. At 1M tokens/day, you'd spend $21.75/month with GPT-5.4 Nano vs $3150.00/month with GPT-5.4 Pro - a $3128.25 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. GPT-5.4 Nano also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.25/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (92/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5.4 Pro clearly outperforms GPT-5.4 Nano with a significant 12.600000000000009-point lead. For most general use cases, GPT-5.4 Pro is the stronger choice. However, GPT-5.4 Nano may still excel in niche scenarios.
Best for Quality
GPT-5.4 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.4 Nano
99% lower pricing; better value at scale
Best for Reliability
GPT-5.4 Nano
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4 Nano
Stronger community support and better developer experience
Best for Production
GPT-5.4 Nano
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.4 Nano | GPT-5.4 Pro |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
GPT-5.4 Nano saves you $268.14/month
That's 99% cheaper than GPT-5.4 Pro at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-5.4 Nano | GPT-5.4 Pro |
|---|---|---|
| Context Window | 400K | 1.1M |
| Max Output Tokens | 128,000 | 128,000 |
| Open Source | No | No |
| Created | Mar 17, 2026 | Mar 5, 2026 |
The identical coding benchmark scores suggest that for pure code generation quality, both models perform equivalently - the Pro model's advantages lie elsewhere. With Pro's 1.1M token context window vs Nano's 400K, you're paying $180/M output tokens primarily for 2.6x longer context handling, not better code quality.
Pro becomes cost-effective when you need to process codebases or documentation exceeding 400K tokens in a single pass - roughly 100K lines of code. For a typical enterprise project analyzing 1M tokens of code context, Pro costs $30 for full context while Nano would require 3+ separate passes at $0.60 total, but with potential context fragmentation issues.
Pro excels at full-stack refactoring where you need all 1.1M tokens of context to maintain consistency across a large codebase. For typical function-level coding tasks under 400K tokens, Nano delivers identical results at 1/144th the output cost, making Pro unjustifiable for isolated code generation or small-scope debugging.
A CI/CD pipeline processing 100M tokens monthly would cost $20 with Nano vs $3,000 with Pro for inputs alone - a 150x difference. Since both models offer identical Function Calling and JSON Mode capabilities with the same 61/100 performance score, Pro only makes sense for pipelines specifically requiring 400K+ token context windows per operation.
The single rank position difference with identical 61/100 scores indicates the coding benchmark heavily weights output quality over context capacity. This suggests most coding tasks in the benchmark fit within Nano's 400K window, making Pro's 2.6x larger context a luxury feature that doesn't improve measurable performance for standard coding scenarios.