| Signal | GPT-5.4 | Delta | R1 0528 |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 90 | +10 | |
Pricing | 85 | -13 | |
Context window size | 86 | +12 | |
Recency | 100 | +39 | |
Output Capacity | 85 | +10 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
91.5
current score
GPT-5.4
right now
79
current score
OpenAI
DeepSeek
R1 0528 saves you $842.50/month
That's $10110.00/year compared to GPT-5.4 at your current usage level of 100K calls/month.
| Metric | GPT-5.4 | R1 0528 | Winner |
|---|---|---|---|
| Overall Score | 92 | 79 | GPT-5.4 |
| Rank | #10 | #48 | GPT-5.4 |
| Quality Rank | #10 | #48 | GPT-5.4 |
| Adoption Rank | #10 | #48 | GPT-5.4 |
| Parameters | -- | -- | -- |
| Context Window | 1050K | 164K | GPT-5.4 |
| Pricing | $2.50/$15.00/M | $0.50/$2.15/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5.4 |
| Benchmarks | 90 | 81 | GPT-5.4 |
| Pricing | 85 | 98 | R1 0528 |
| Context window size | 86 | 75 | GPT-5.4 |
| Recency | 100 | 62 | GPT-5.4 |
| Output Capacity | 85 | 75 | GPT-5.4 |
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 92/100 (rank #10), placing it in the top 97% of all 290 models tracked.
Scores 79/100 (rank #48), placing it in the top 84% of all 290 models tracked.
GPT-5.4 has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
R1 0528 offers 85% better value per quality point. At 1M tokens/day, you'd spend $39.75/month with R1 0528 vs $262.50/month with GPT-5.4 - a $222.75 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. R1 0528 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 ($2.15/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 clearly outperforms R1 0528 with a significant 12.5-point lead. For most general use cases, GPT-5.4 is the stronger choice. However, R1 0528 may still excel in niche scenarios.
Best for Quality
GPT-5.4
Marginally better benchmark scores; both are excellent
Best for Cost
R1 0528
85% lower pricing; better value at scale
Best for Reliability
GPT-5.4
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4
Stronger community support and better developer experience
Best for Production
GPT-5.4
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.4 | R1 0528 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
DeepSeek
R1 0528 saves you $19.02/month
That's 85% cheaper than GPT-5.4 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 | R1 0528 |
|---|---|---|
| Context Window | 1.1M | 164K |
| Max Output Tokens | 128,000 | 32,768 |
| Open Source | No | Yes |
| Created | Mar 5, 2026 | May 28, 2025 |