| Signal | GPT-4o-mini (2024-07-18) | Delta | GPT-5.4 Nano |
|---|---|---|---|
Capabilities | 67 | -33 | |
Benchmarks | 56 | +56 | |
Pricing | 1 | -1 | |
Context window size | 81 | -8 | |
Recency | 21 | -79 | |
Output Capacity | 70 | -15 | |
| Overall Result | 1 wins | of 6 | 5 wins |
0
days ranked higher
0
days
30
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OpenAI
OpenAI
GPT-4o-mini (2024-07-18) saves you $37.50/month
That's $450.00/year compared to GPT-5.4 Nano at your current usage level of 100K calls/month.
| Metric | GPT-4o-mini (2024-07-18) | GPT-5.4 Nano | Winner |
|---|---|---|---|
| Overall Score | 54 | 85 | GPT-5.4 Nano |
| Rank | #253 | #24 | GPT-5.4 Nano |
| Quality Rank | #253 | #24 | GPT-5.4 Nano |
| Adoption Rank | #253 | #24 | GPT-5.4 Nano |
| Parameters | -- | -- | -- |
| Context Window | 128K | 400K | GPT-5.4 Nano |
| Pricing | $0.15/$0.60/M | $0.20/$1.25/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 100 | GPT-5.4 Nano |
| Benchmarks | 56 | -- | GPT-4o-mini (2024-07-18) |
| Pricing | 1 | 1 | GPT-5.4 Nano |
| Context window size | 81 | 89 | GPT-5.4 Nano |
| Recency | 21 | 100 | GPT-5.4 Nano |
| Output Capacity | 70 | 85 | GPT-5.4 Nano |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 54/100 (rank #253), placing it in the top 13% of all 290 models tracked.
Scores 85/100 (rank #24), placing it in the top 92% of all 290 models tracked.
GPT-5.4 Nano has a 31-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
GPT-4o-mini (2024-07-18) offers 48% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with GPT-4o-mini (2024-07-18) vs $21.75/month with GPT-5.4 Nano - a $10.50 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. GPT-4o-mini (2024-07-18) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (85/100) 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 Nano clearly outperforms GPT-4o-mini (2024-07-18) with a significant 31.299999999999997-point lead. For most general use cases, GPT-5.4 Nano is the stronger choice. However, GPT-4o-mini (2024-07-18) may still excel in niche scenarios.
Best for Quality
GPT-4o-mini (2024-07-18)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4o-mini (2024-07-18)
48% lower pricing; better value at scale
Best for Reliability
GPT-4o-mini (2024-07-18)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o-mini (2024-07-18)
Stronger community support and better developer experience
Best for Production
GPT-4o-mini (2024-07-18)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o-mini (2024-07-18) | GPT-5.4 Nano |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
OpenAI
GPT-4o-mini (2024-07-18) saves you $0.8700/month
That's 47% cheaper than GPT-5.4 Nano 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-4o-mini (2024-07-18) | GPT-5.4 Nano |
|---|---|---|
| Context Window | 128K | 400K |
| Max Output Tokens | 16,384 | 128,000 |
| Open Source | No | No |
| Created | Jul 18, 2024 | Mar 17, 2026 |
GPT-5.4 Nano scores 85/100 (rank #24) compared to GPT-4o-mini (2024-07-18)'s 54/100 (rank #253), giving it a 31-point advantage. GPT-5.4 Nano is the stronger overall choice, though GPT-4o-mini (2024-07-18) may excel in specific areas like cost efficiency.
GPT-4o-mini (2024-07-18) is ranked #253 and GPT-5.4 Nano is ranked #24 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
GPT-4o-mini (2024-07-18) is cheaper at $0.60/M output tokens vs GPT-5.4 Nano's $1.25/M output tokens - 2.1x more expensive. Input token pricing: GPT-4o-mini (2024-07-18) at $0.15/M vs GPT-5.4 Nano at $0.20/M.
GPT-5.4 Nano has a larger context window of 400,000 tokens compared to GPT-4o-mini (2024-07-18)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.