Model Comparison
GPT-4.1 nano
vs. GPT-5.6 Luna (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI
Recommended Pick
OpGPT-5.6 Luna (Non-reasoning)8 metric winsStrongest on: Throughput, Reasoning, Intelligence
Best Value
GPT-4.1 nano
100.0 value score
31.6 reasoning / $0.18/1M
Lowest Price
GPT-4.1 nano
$0.10/1M input price
Best Reasoning
GPT-5.6 Luna (Non-reasoning)
32.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.6 Luna (Non-reasoning)
39.3 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-4.1 nano has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GPT-4.1 nano is 2.0x cheaper on input tokens than GPT-5.6 Luna (Non-reasoning).
Reasoning gap
GPT-5.6 Luna (Non-reasoning) leads GPT-4.1 nano by 1.3 points on reasoning.
Coding gap
GPT-5.6 Luna (Non-reasoning) leads GPT-4.1 nano by 28.2 points on coding.
Top-pick rationale
GPT-5.6 Luna (Non-reasoning) wins 8 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.
GPT-4.1 nano
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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GPT-5.6 Luna (Non-reasoning)
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?
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Full Comparison
| Metric | Op GPT-4.1 nano | Top Pick Op GPT-5.6 Luna (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $0.20/1M |
| Output Cost | $0.40/1M | $1.20/1M |
| Blended (3:1) | $0.18/1M | $0.45/1M |
| Specifications | ||
| Organization | OpenAI | OpenAI |
| Release Date | Apr 14, 2025 | Jul 9, 2026 |
| Performance & Speed | ||
| Throughput | — | 138.3 tok/s |
| TTFT | — | 710ms |
| Latency | — | 710ms |
| Composite Indices | ||
| Value Score | 100.0 | 40.4 |
| Reasoning Score | 31.6 | 32.8 |
| Intelligence | 9.6 | 26.8 |
| Coding | 11.1 | 39.3 |
| Math | 24.0 | — |
| Standard Benchmarks | ||
| GPQA | 51.2% | 64.5% |
| MMLU Pro | 65.7% | — |
| HLE | 3.8% | 7.2% |
| LiveCodeBench | 32.6% | — |
| MATH 500 | 84.8% | — |
| AIME 2025 | 24.0% | — |
| AIME (Original) | 23.7% | — |
| SciCode | 25.9% | 39.9% |
| LCR | 19.3% | 38.7% |
| IFBench | 32.0% | — |
| TAU-bench v2 | 17.3% | — |
| TerminalBench Hard | 3.8% | — |
Key Takeaways
GPT-4.1 nano offers the best value at $0.10/1M,making it ideal for high-volume applications and cost-conscious projects.
GPT-5.6 Luna (Non-reasoning) has the strongest reasoning profile with a 32.8 reasoning score,combining the available reasoning-heavy benchmarks.
GPT-5.6 Luna (Non-reasoning) reaches a 39.3 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-4.1 nano
- Cost-sensitive applications
- High-volume processing
GPT-5.6 Luna (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
