Model Comparison
GPT-5.6 Luna (max)
vs. Gemini 3.1 Pro Preview
Comparing 2 AI models · 7 benchmarks · OpenAI, Google
Recommended Pick
OpGPT-5.6 Luna (max)8 metric winsStrongest on: Value, Input price, Output price
Best Value
GPT-5.6 Luna (max)
100.0 value score
59.8 reasoning / $2.25/1M
Lowest Price
GPT-5.6 Luna (max)
$1.00/1M input price
Best Reasoning
Gemini 3.1 Pro Preview
61.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.6 Luna (max)
71.4 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
GPT-5.6 Luna (max) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GPT-5.6 Luna (max) is 2.0x cheaper on input tokens than Gemini 3.1 Pro Preview.
Speed gap
GPT-5.6 Luna (max) generates about 1.4x as many tokens per second as Gemini 3.1 Pro Preview.
Reasoning gap
Gemini 3.1 Pro Preview leads GPT-5.6 Luna (max) by 1.9 points on reasoning.
Coding gap
GPT-5.6 Luna (max) leads Gemini 3.1 Pro Preview by 2.6 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5.6 Luna (max)
OpenAI
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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Gemini 3.1 Pro Preview
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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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Op GPT-5.6 Luna (max) | Go Gemini 3.1 Pro Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.00/1M | $2.00/1M |
| Output Cost | $6.00/1M | $12.00/1M |
| Blended (3:1) | $2.25/1M | $4.50/1M |
| Specifications | ||
| Organization | OpenAI | |
| Release Date | Jul 9, 2026 | Feb 19, 2026 |
| Performance & Speed | ||
| Throughput | 206.3 tok/s | 146.1 tok/s |
| TTFT | 69232ms | 31788ms |
| Latency | 69232ms | 31788ms |
| Composite Indices | ||
| Value Score | 100.0 | 51.6 |
| Reasoning Score | 59.8 | 61.8 |
| Intelligence | 51.2 | 46.5 |
| Coding | 71.4 | 68.8 |
| Standard Benchmarks | ||
| GPQA | 91.1% | 94.1% |
| HLE | 37.2% | 44.7% |
| SciCode | 52.5% | 58.9% |
| LCR | 74.0% | 72.7% |
| IFBench | — | 77.1% |
| TAU-bench v2 | — | 95.6% |
| TerminalBench Hard | — | 53.8% |
Key Takeaways
GPT-5.6 Luna (max) offers the best value at $1.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.1 Pro Preview has the strongest reasoning profile with a 61.8 reasoning score,combining the available reasoning-heavy benchmarks.
GPT-5.6 Luna (max) reaches a 71.4 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
GPT-5.6 Luna (max)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Gemini 3.1 Pro Preview
- Complex reasoning tasks
- Research & analysis
