Model Comparison
V3.2 Speciale
vs. GPT-5.5 (xhigh)
Comparing 2 AI models · 10 benchmarks · DeepSeek, OpenAI
Recommended Pick
Op GPT-5.5 (xhigh) 9 metric wins Strongest on: Throughput, Intelligence, GPQA
Lowest Price
V3.2 Speciale
$0.00/1M input price
Best Reasoning
V3.2 Speciale
65.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.5 (xhigh)
74.9 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
V3.2 Speciale is ∞x cheaper on input tokens than GPT-5.5 (xhigh).
Reasoning gap
V3.2 Speciale leads GPT-5.5 (xhigh) by 1.6 points on reasoning.
Top-pick rationale
GPT-5.5 (xhigh) wins 9 measurable categories, including Throughput, Intelligence, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
V3.2 Speciale
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
GPT-5.5 (xhigh)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | De V3.2 Speciale | Top Pick Op GPT-5.5 (xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $5.00/1M |
| Output Cost | $0.00/1M | $30.00/1M |
| Blended (3:1) | — | $11.25/1M |
| Specifications | ||
| Organization | DeepSeek | OpenAI |
| Release Date | Dec 1, 2025 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | — | 64.7 tok/s |
| TTFT | — | 45009ms |
| Latency | — | 45009ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 65.8 | 64.2 |
| Intelligence | 22.2 | 54.8 |
| Coding | — | 74.9 |
| Math | 96.7 | — |
| Standard Benchmarks | ||
| GPQA | 87.1% | 93.5% |
| MMLU Pro | 86.3% | — |
| HLE | 26.1% | 44.3% |
| LiveCodeBench | 89.6% | — |
| AIME 2025 | 96.7% | — |
| SciCode | 44.0% | 56.1% |
| LCR | 59.3% | 74.3% |
| IFBench | 63.9% | 75.9% |
| TAU-bench v2 | 0.0% | 93.9% |
| TerminalBench Hard | 34.8% | 60.6% |
Key Takeaways
V3.2 Speciale offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
V3.2 Speciale has the strongest reasoning profile with a 65.8 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.5 (xhigh) reaches a 74.9 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
V3.2 Speciale
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
GPT-5.5 (xhigh)
- Code generation
- Software development
