Model Comparison
GPT-5.6 Luna (medium)
vs. Gemini 3.7 Flash (high)
Comparing 2 AI models · 0 benchmarks · OpenAI, Google
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
GPT-5.6 Luna (medium)
100.0 value score
38.9 reasoning / $0.45/1M
Lowest Price
GPT-5.6 Luna (medium)
$0.20/1M input price
Best Reasoning
Gemini 3.7 Flash (high)
56.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.7 Flash (high)
76.1 coding index
Differences That Matter
Best value
GPT-5.6 Luna (medium) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GPT-5.6 Luna (medium) is 3.8x cheaper on input tokens than Gemini 3.7 Flash (high).
Speed gap
Gemini 3.7 Flash (high) generates about 2.3x as many tokens per second as GPT-5.6 Luna (medium).
Reasoning gap
Gemini 3.7 Flash (high) leads GPT-5.6 Luna (medium) by 17.1 points on reasoning.
Coding gap
Gemini 3.7 Flash (high) leads GPT-5.6 Luna (medium) by 25.4 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 (medium)
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 | Top Pick Op GPT-5.6 Luna (medium) | 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 | 123.4 tok/s | 284.8 tok/s |
| TTFT | 2390ms | 9640ms |
| Latency | 2390ms | 9640ms |
| Composite Indices | ||
| Value Score | 100.0 | 43.2 |
| Reasoning Score | 38.9 | 56.0 |
| Intelligence | 38.9 | 56.0 |
| Coding | 50.7 | 76.1 |
Key Takeaways
GPT-5.6 Luna (medium) 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 56.0 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 (medium)
- Cost-sensitive applications
- High-volume processing
Gemini 3.7 Flash (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development