Model Comparison
Gemini 2.0 Pro Experimental (Feb '25)
vs. GPT-5.5 (high)
Comparing 2 AI models · 11 benchmarks · Google, OpenAI
Recommended Pick
Op GPT-5.5 (high) 7 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Gemini 2.0 Pro Experimental (Feb '25)
$0.00/1M input price
Best Reasoning
GPT-5.5 (high)
65.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.5 (high)
58.5 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
Gemini 2.0 Pro Experimental (Feb '25) is ∞x cheaper on input tokens than GPT-5.5 (high).
Reasoning gap
GPT-5.5 (high) leads Gemini 2.0 Pro Experimental (Feb '25) by 22.0 points on reasoning.
Coding gap
GPT-5.5 (high) leads Gemini 2.0 Pro Experimental (Feb '25) by 33.0 points on coding.
Top-pick rationale
GPT-5.5 (high) wins 7 measurable categories, including Throughput, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 2.0 Pro Experimental (Feb '25)
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 (high)
OpenAI
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Go Gemini 2.0 Pro Experimental (Feb '25) | Top Pick Op GPT-5.5 (high) |
|---|---|---|
| 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 | OpenAI | |
| Release Date | Feb 5, 2025 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | — | 61.2 tok/s |
| TTFT | — | 16954ms |
| Latency | — | 16954ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 43.1 | 65.0 |
| Intelligence | 18.1 | 58.9 |
| Coding | 25.5 | 58.5 |
| Standard Benchmarks | ||
| GPQA | 62.2% | 93.2% |
| MMLU Pro | 80.5% | — |
| HLE | 6.8% | 43.0% |
| LiveCodeBench | 34.7% | — |
| MATH 500 | 92.3% | — |
| AIME (Original) | 36.0% | — |
| SciCode | 31.3% | 55.9% |
| LCR | — | 73.3% |
| IFBench | — | 71.6% |
| TAU-bench v2 | — | 93.0% |
| TerminalBench Hard | — | 59.8% |
Key Takeaways
Gemini 2.0 Pro Experimental (Feb '25) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.5 (high) has the strongest reasoning profile with a 65.0 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.5 (high) reaches a 58.5 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 2.0 Pro Experimental (Feb '25)
- Cost-sensitive applications
- High-volume processing
GPT-5.5 (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
