Model Comparison
Claude Opus 5 (Adaptive Reasoning, Max Effort)
vs. GPT-5.6 Sol (max)
Comparing 2 AI models · 7 benchmarks · Anthropic, OpenAI
Recommended Pick
AnClaude Opus 5 (Adaptive Reasoning, Max Effort)9 metric winsStrongest on: Value, Output price, Blended price
Best Value
Claude Opus 5 (Adaptive Reasoning, Max Effort)
100.0 value score
70.4 reasoning / $10.00/1M
Lowest Price
Claude Opus 5 (Adaptive Reasoning, Max Effort)
$5.00/1M input price
Best Reasoning
Claude Opus 5 (Adaptive Reasoning, Max Effort)
70.4 reasoning score
Blends available reasoning benchmarks
Best for Coding
Claude Opus 5 (Adaptive Reasoning, Max Effort)
78.0 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
Claude Opus 5 (Adaptive Reasoning, Max Effort) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Speed gap
GPT-5.6 Sol (max) generates about 1.4x as many tokens per second as Claude Opus 5 (Adaptive Reasoning, Max Effort).
Reasoning gap
Claude Opus 5 (Adaptive Reasoning, Max Effort) leads GPT-5.6 Sol (max) by 2.2 points on reasoning.
Coding gap
Claude Opus 5 (Adaptive Reasoning, Max Effort) leads GPT-5.6 Sol (max) by 0.6 points on coding.
Top-pick rationale
Claude Opus 5 (Adaptive Reasoning, Max Effort) wins 9 measurable categories, including Value, Output price, Blended price, TTFT.
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, Max 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 Sol (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, Max Effort) | Op GPT-5.6 Sol (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $5.00/1M | $5.00/1M |
| Output Cost | $25.00/1M | $30.00/1M |
| Blended (3:1) | $10.00/1M | $11.25/1M |
| Specifications | ||
| Organization | Anthropic | OpenAI |
| Release Date | Jul 24, 2026 | Jul 9, 2026 |
| Performance & Speed | ||
| Throughput | 49.1 tok/s | 69.7 tok/s |
| TTFT | 32421ms | 87024ms |
| Latency | 32421ms | 87024ms |
| Composite Indices | ||
| Value Score | 100.0 | 86.1 |
| Reasoning Score | 70.4 | 68.2 |
| Intelligence | 63.1 | 60.9 |
| Coding | 78.0 | 77.4 |
| Standard Benchmarks | ||
| GPQA | 93.2% | 94.1% |
| HLE | 54.9% | 49.5% |
| SciCode | 55.7% | 56.1% |
| LCR | 75.7% | 77.7% |
| IFBench | — | 72.7% |
| TAU-bench v2 | — | 85.1% |
| TerminalBench Hard | — | 65.9% |
Key Takeaways
Claude Opus 5 (Adaptive Reasoning, Max Effort) offers the best value at $5.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Claude Opus 5 (Adaptive Reasoning, Max Effort) has the strongest reasoning profile with a 70.4 reasoning score,combining the available reasoning-heavy benchmarks.
Claude Opus 5 (Adaptive Reasoning, Max Effort) reaches a 78.0 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, Max Effort)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
GPT-5.6 Sol (max)
- General-purpose AI
- Versatile applications
