| Signal | o3 Pro | Delta | R1 0528 |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 88 | +8 | |
Pricing | 20 | -78 | |
Context window size | 84 | +1 | |
Recency | 72 | +2 | |
Output Capacity | 83 | +8 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
86.7
current score
o3 Pro
right now
79.4
current score
OpenAI
DeepSeek
R1 0528 saves you $5842.50/month
That's $70110.00/year compared to o3 Pro at your current usage level of 100K calls/month.
| Metric | o3 Pro | R1 0528 | Winner |
|---|---|---|---|
| Overall Score | 87 | 79 | o3 Pro |
| Rank | #22 | #40 | o3 Pro |
| Quality Rank | #22 | #40 | o3 Pro |
| Adoption Rank | #22 | #40 | o3 Pro |
| Parameters | -- | -- | -- |
| Context Window | 200K | 164K | o3 Pro |
| Pricing | $20.00/$80.00/M | $0.50/$2.15/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | o3 Pro |
| Benchmarks | 88 | 81 | o3 Pro |
| Pricing | 20 | 98 | R1 0528 |
| Context window size | 84 | 83 | o3 Pro |
| Recency | 72 | 70 | o3 Pro |
| Output Capacity | 83 | 75 | o3 Pro |
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 87/100 (rank #22), placing it in the top 93% of all 290 models tracked.
Scores 79/100 (rank #40), placing it in the top 87% of all 290 models tracked.
o3 Pro has a 7-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
R1 0528 offers 97% better value per quality point. At 1M tokens/day, you'd spend $39.75/month with R1 0528 vs $1500.00/month with o3 Pro - a $1460.25 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. R1 0528 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K 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 (87/100) 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
o3 Pro has a moderate advantage with a 7.299999999999997-point lead in composite score. It wins on more signal dimensions, but R1 0528 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
o3 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
R1 0528
97% lower pricing; better value at scale
Best for Reliability
o3 Pro
Higher uptime and faster response speeds
Best for Prototyping
o3 Pro
Stronger community support and better developer experience
Best for Production
o3 Pro
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | o3 Pro | R1 0528 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
DeepSeek
R1 0528 saves you $128.52/month
That's 97% cheaper than o3 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 | o3 Pro | R1 0528 |
|---|---|---|
| Context Window | 200K | 164K |
| Max Output Tokens | 100,000 | 32,768 |
| Open Source | No | Yes |
| Created | Jun 10, 2025 | May 28, 2025 |