| Signal | GPT-5 Chat | Delta | R1 0528 |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 10 | +8 | |
Context window size | 81 | -2 | |
Recency | 93 | +13 | |
Output Capacity | 70 | -10 | |
| Overall Result | 2 wins | of 5 | 2 wins |
11
days ranked higher
5
days
14
days ranked higher
OpenAI
DeepSeek
R1 0528 saves you $472.50/month
That's $5670.00/year compared to GPT-5 Chat at your current usage level of 100K calls/month.
| Metric | GPT-5 Chat | R1 0528 | Winner |
|---|---|---|---|
| Overall Score | 75 | 75 | GPT-5 Chat |
| Rank | #91 | #93 | GPT-5 Chat |
| Quality Rank | #91 | #93 | GPT-5 Chat |
| Adoption Rank | #91 | #93 | GPT-5 Chat |
| Parameters | -- | -- | -- |
| Context Window | 128K | 164K | R1 0528 |
| Pricing | $1.25/$10.00/M | $0.45/$2.15/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | GPT-5 Chat |
| Pricing | 10 | 2 | GPT-5 Chat |
| Context window size | 81 | 83 | R1 0528 |
| Recency | 93 | 80 | GPT-5 Chat |
| Output Capacity | 70 | 80 | R1 0528 |
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 75/100 (rank #91), placing it in the top 69% of all 290 models tracked.
Scores 75/100 (rank #93), placing it in the top 68% of all 290 models tracked.
With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal — your choice should depend on pricing, latency requirements, and specific feature needs.
R1 0528 offers 77% better value per quality point. At 1M tokens/day, you'd spend $39.00/month with R1 0528 vs $168.75/month with GPT-5 Chat — a $129.75 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
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. R1 0528 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (164K 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 (75/100) 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 Chat and R1 0528 are extremely close in overall performance (only 0.7999999999999972 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-5 Chat
Marginally better benchmark scores; both are excellent
Best for Cost
R1 0528
77% lower pricing; better value at scale
Best for Reliability
GPT-5 Chat
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Chat
Stronger community support and better developer experience
Best for Production
GPT-5 Chat
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 Chat | R1 0528 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
DeepSeek
R1 0528 saves you $10.86/month
That's 76% cheaper than GPT-5 Chat 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 Chat | R1 0528 |
|---|---|---|
| Context Window | 128K | 164K |
| Max Output Tokens | 16,384 | 65,536 |
| Open Source | No | Yes |
| Created | Aug 7, 2025 | May 28, 2025 |
GPT-5 Chat scores 75/100 (rank #91) compared to R1 0528's 75/100 (rank #93), giving it a 1-point advantage. GPT-5 Chat is the stronger overall choice, though R1 0528 may excel in specific areas like cost efficiency.
GPT-5 Chat is ranked #91 and R1 0528 is ranked #93 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.
R1 0528 is cheaper at $2.15/M output tokens vs GPT-5 Chat's $10.00/M output tokens — 4.7x more expensive. Input token pricing: GPT-5 Chat at $1.25/M vs R1 0528 at $0.45/M.
R1 0528 has a larger context window of 163,840 tokens compared to GPT-5 Chat's 128,000 tokens. A larger context window means the model can process longer documents and conversations.