Model Comparison
GPT-5.6 Luna (xhigh)
vs. Gemini 3.7 Flash (high)
Comparing 2 AI models · 4 benchmarks · OpenAI, Google
Recommended Pick
GoGemini 3.7 Flash (high)10 metric winsStrongest on: Throughput, TTFT, Latency
Best Value
GPT-5.6 Luna (xhigh)
100.0 value score
58.9 reasoning / $0.45/1M
Lowest Price
GPT-5.6 Luna (xhigh)
$0.20/1M input price
Best Reasoning
Gemini 3.7 Flash (high)
66.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.7 Flash (high)
76.1 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
GPT-5.6 Luna (xhigh) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GPT-5.6 Luna (xhigh) is 3.8x cheaper on input tokens than Gemini 3.7 Flash (high).
Speed gap
Gemini 3.7 Flash (high) generates about 3.6x as many tokens per second as GPT-5.6 Luna (xhigh).
Reasoning gap
Gemini 3.7 Flash (high) leads GPT-5.6 Luna (xhigh) by 7.3 points on reasoning.
Coding gap
Gemini 3.7 Flash (high) leads GPT-5.6 Luna (xhigh) by 7.5 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 (xhigh)
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 3.7 Flash (high)
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 | Op GPT-5.6 Luna (xhigh) | Top Pick Go Gemini 3.7 Flash (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.20/1M | $0.75/1M |
| Output Cost | $1.20/1M | $3.75/1M |
| Blended (3:1) | $0.45/1M | $1.50/1M |
| Specifications | ||
| Organization | OpenAI | |
| Release Date | Jul 9, 2026 | Aug 13, 2026 |
| Performance & Speed | ||
| Throughput | 145.1 tok/s | 515.0 tok/s |
| TTFT | 44818ms | 6354ms |
| Latency | 44818ms | 6354ms |
| Composite Indices | ||
| Value Score | 100.0 | 33.7 |
| Reasoning Score | 58.9 | 66.1 |
| Intelligence | 50.1 | 56.0 |
| Coding | 68.6 | 76.1 |
| Standard Benchmarks | ||
| GPQA | 89.5% | 94.5% |
| HLE | 37.0% | 47.9% |
| SciCode | 50.0% | 56.8% |
| LCR | 73.3% | 80.0% |
Key Takeaways
GPT-5.6 Luna (xhigh) offers the best value at $0.20/1M,making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.7 Flash (high) has the strongest reasoning profile with a 66.1 reasoning score,combining the available reasoning-heavy benchmarks.
Gemini 3.7 Flash (high) reaches a 76.1 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
GPT-5.6 Luna (xhigh)
- Cost-sensitive applications
- High-volume processing
Gemini 3.7 Flash (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
