Model Comparison
Claude Opus 5 (Adaptive Reasoning, High Effort)
vs. GPT-5.6 Luna (max)
Comparing 2 AI models · 4 benchmarks · Anthropic, OpenAI
Recommended Pick
AnClaude Opus 5 (Adaptive Reasoning, High Effort)8 metric winsStrongest on: TTFT, Latency, Reasoning
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
Claude Opus 5 (Adaptive Reasoning, High Effort)
67.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Claude Opus 5 (Adaptive Reasoning, High Effort)
76.5 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 5.0x cheaper on input tokens than Claude Opus 5 (Adaptive Reasoning, High Effort).
Speed gap
GPT-5.6 Luna (max) generates about 3.8x as many tokens per second as Claude Opus 5 (Adaptive Reasoning, High Effort).
Reasoning gap
Claude Opus 5 (Adaptive Reasoning, High Effort) leads GPT-5.6 Luna (max) by 7.9 points on reasoning.
Coding gap
Claude Opus 5 (Adaptive Reasoning, High Effort) leads GPT-5.6 Luna (max) by 5.1 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Claude Opus 5 (Adaptive Reasoning, High Effort)
Anthropic
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 (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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Which answer was more useful?
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Full Comparison
| Metric | Top Pick An Claude Opus 5 (Adaptive Reasoning, High Effort) | Op GPT-5.6 Luna (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $5.00/1M | $1.00/1M |
| Output Cost | $25.00/1M | $6.00/1M |
| Blended (3:1) | $10.00/1M | $2.25/1M |
| Specifications | ||
| Organization | Anthropic | OpenAI |
| Release Date | Jul 24, 2026 | Jul 9, 2026 |
| Performance & Speed | ||
| Throughput | 54.2 tok/s | 206.3 tok/s |
| TTFT | 11758ms | 69232ms |
| Latency | 11758ms | 69232ms |
| Composite Indices | ||
| Value Score | 25.5 | 100.0 |
| Reasoning Score | 67.8 | 59.8 |
| Intelligence | 58.9 | 51.2 |
| Coding | 76.5 | 71.4 |
| Standard Benchmarks | ||
| GPQA | 93.7% | 91.1% |
| HLE | 50.7% | 37.2% |
| SciCode | 54.3% | 52.5% |
| LCR | 67.0% | 74.0% |
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.
Claude Opus 5 (Adaptive Reasoning, High Effort) has the strongest reasoning profile with a 67.8 reasoning score,combining the available reasoning-heavy benchmarks.
Claude Opus 5 (Adaptive Reasoning, High Effort) reaches a 76.5 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
Claude Opus 5 (Adaptive Reasoning, High Effort)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
GPT-5.6 Luna (max)
- Cost-sensitive applications
- High-volume processing
