Model Comparison
R1 0528 (May '25)
vs. GPT-5.5 (xhigh)
Comparing 2 AI models · 12 benchmarks · DeepSeek, OpenAI
Recommended Pick
Strongest on: Throughput, Intelligence, Coding
Best Value
R1 0528 (May '25)
100.0 value score
66.1 reasoning / $2.06/1M
Lowest Price
R1 0528 (May '25)
$1.35/1M input price
Best Reasoning
R1 0528 (May '25)
66.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.5 (xhigh)
59.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
R1 0528 (May '25) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
R1 0528 (May '25) is 3.7x cheaper on input tokens than GPT-5.5 (xhigh).
Reasoning gap
R1 0528 (May '25) leads GPT-5.5 (xhigh) by 0.1 points on reasoning.
Coding gap
GPT-5.5 (xhigh) leads R1 0528 (May '25) by 35.1 points on coding.
Top-pick rationale
GPT-5.5 (xhigh) wins 10 measurable categories, including Throughput, Intelligence, Coding, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
R1 0528 (May '25)
DeepSeek
TTFT
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Time
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tok/s
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Tokens
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Cost
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GPT-5.5 (xhigh)
OpenAI
TTFT
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Time
—
tok/s
—
Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | De R1 0528 (May '25) | Top Pick Op GPT-5.5 (xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.35/1M | $5.00/1M |
| Output Cost | $4.20/1M | $30.00/1M |
| Blended (3:1) | $2.06/1M | $11.25/1M |
| Specifications | ||
| Organization | DeepSeek | OpenAI |
| Release Date | May 28, 2025 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | — | 66.5 tok/s |
| TTFT | — | 43813ms |
| Latency | — | 43813ms |
| Composite Indices | ||
| Value Score | 100.0 | 18.3 |
| Reasoning Score | 66.1 | 66.0 |
| Intelligence | 27.1 | 60.2 |
| Coding | 24.0 | 59.1 |
| Math | 76.0 | — |
| Standard Benchmarks | ||
| GPQA | 81.3% | 93.5% |
| MMLU Pro | 84.9% | — |
| HLE | 14.9% | 44.3% |
| LiveCodeBench | 77.0% | — |
| MATH 500 | 98.3% | — |
| AIME 2025 | 76.0% | — |
| AIME (Original) | 89.3% | — |
| SciCode | 40.3% | 56.1% |
| LCR | 54.7% | 74.3% |
| IFBench | 39.6% | 75.9% |
| TAU-bench v2 | 36.5% | 93.9% |
| TerminalBench Hard | 15.9% | 60.6% |
Key Takeaways
R1 0528 (May '25) offers the best value at $1.35/1M, making it ideal for high-volume applications and cost-conscious projects.
R1 0528 (May '25) has the strongest reasoning profile with a 66.1 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.5 (xhigh) reaches a 59.1 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
R1 0528 (May '25)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
GPT-5.5 (xhigh)
- Code generation
- Software development