| Signal | GPT-5.2 Pro | Delta | R1 |
|---|---|---|---|
Capabilities | 100 | +50 | |
Benchmarks | 89 | +16 | |
Pricing | 5 | -92 | |
Context window size | 89 | +13 | |
Recency | 100 | +54 | |
Output Capacity | 85 | +15 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
90.5
current score
GPT-5.2 Pro
right now
73
current score
OpenAI
DeepSeek
R1 saves you $10305.00/month
That's $123660.00/year compared to GPT-5.2 Pro at your current usage level of 100K calls/month.
| Metric | GPT-5.2 Pro | R1 | Winner |
|---|---|---|---|
| Overall Score | 91 | 73 | GPT-5.2 Pro |
| Rank | #3 | #76 | GPT-5.2 Pro |
| Quality Rank | #3 | #76 | GPT-5.2 Pro |
| Adoption Rank | #3 | #76 | GPT-5.2 Pro |
| Parameters | -- | -- | -- |
| Context Window | 400K | 64K | GPT-5.2 Pro |
| Pricing | $21.00/$168.00/M | $0.70/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | GPT-5.2 Pro |
| Benchmarks | 89 | 73 | GPT-5.2 Pro |
| Pricing | 5 | 98 | R1 |
| Context window size | 89 | 76 | GPT-5.2 Pro |
| Recency | 100 | 46 | GPT-5.2 Pro |
| Output Capacity | 85 | 70 | GPT-5.2 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 91/100 (rank #3), placing it in the top 99% of all 290 models tracked.
Scores 73/100 (rank #76), placing it in the top 74% of all 290 models tracked.
GPT-5.2 Pro has a 18-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
R1 offers 98% better value per quality point. At 1M tokens/day, you'd spend $48.00/month with R1 vs $2835.00/month with GPT-5.2 Pro - a $2787.00 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 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 ($2.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (91/100) 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-5.2 Pro clearly outperforms R1 with a significant 17.5-point lead. For most general use cases, GPT-5.2 Pro is the stronger choice. However, R1 may still excel in niche scenarios.
Best for Quality
GPT-5.2 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
R1
98% lower pricing; better value at scale
Best for Reliability
GPT-5.2 Pro
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2 Pro
Stronger community support and better developer experience
Best for Production
GPT-5.2 Pro
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.2 Pro | R1 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
DeepSeek
R1 saves you $235.14/month
That's 98% cheaper than GPT-5.2 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-5.2 Pro | R1 |
|---|---|---|
| Context Window | 400K | 64K |
| Max Output Tokens | 128,000 | 16,000 |
| Open Source | No | Yes |
| Created | Dec 10, 2025 | Jan 20, 2025 |