Model Comparison
Gemini 2.5 Pro
vs. GPT-5.5 Pro (xhigh)
Comparing 2 AI models · 12 benchmarks · Google, OpenAI
Recommended Pick
Op GPT-5.5 Pro (xhigh) 4 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
GPT-5.5 Pro (xhigh)
$0.00/1M input price
Best for Coding
Gemini 2.5 Pro
32.0 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
GPT-5.5 Pro (xhigh) is ∞x cheaper on input tokens than Gemini 2.5 Pro.
Top-pick rationale
GPT-5.5 Pro (xhigh) wins 4 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 2.5 Pro
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
GPT-5.5 Pro (xhigh)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Go Gemini 2.5 Pro | Top Pick Op GPT-5.5 Pro (xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $0.00/1M |
| Output Cost | $10.00/1M | $0.00/1M |
| Blended (3:1) | $3.44/1M | — |
| Specifications | ||
| Organization | OpenAI | |
| Release Date | Jun 5, 2025 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | 131.8 tok/s | — |
| TTFT | 22150ms | — |
| Latency | 22150ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 71.6 | — |
| Intelligence | 34.6 | — |
| Coding | 32.0 | — |
| Math | 87.7 | — |
| Standard Benchmarks | ||
| GPQA | 84.4% | — |
| MMLU Pro | 86.2% | — |
| HLE | 21.1% | — |
| LiveCodeBench | 80.1% | — |
| MATH 500 | 96.7% | — |
| AIME 2025 | 87.7% | — |
| AIME (Original) | 88.7% | — |
| SciCode | 42.8% | — |
| LCR | 66.0% | — |
| IFBench | 48.7% | — |
| TAU-bench v2 | 54.1% | — |
| TerminalBench Hard | 26.5% | — |
Key Takeaways
GPT-5.5 Pro (xhigh) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemini 2.5 Pro reaches a 32.0 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
Gemini 2.5 Pro
- Code generation
- Software development
GPT-5.5 Pro (xhigh)
- Cost-sensitive applications
- High-volume processing
