Model Comparison
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)
vs. GPT-5.6 Sol (max)
Comparing 2 AI models · 7 benchmarks · Anthropic, OpenAI
Recommended Pick
OpGPT-5.6 Sol (max)12 metric winsStrongest on: TTFT, Latency, Reasoning
Best Value
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)
100.0 value score
54.9 reasoning / $6.00/1M
Lowest Price
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)
$3.00/1M input price
Best Reasoning
GPT-5.6 Sol (max)
66.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.6 Sol (max)
77.4 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 Sonnet 4.6 (Adaptive Reasoning, Max Effort) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) is 1.7x cheaper on input tokens than GPT-5.6 Sol (max).
Speed gap
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) generates about 1.1x as many tokens per second as GPT-5.6 Sol (max).
Reasoning gap
GPT-5.6 Sol (max) leads Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) by 11.8 points on reasoning.
Coding gap
GPT-5.6 Sol (max) leads Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) by 14.4 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Claude Sonnet 4.6 (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 | An Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) | Top Pick Op GPT-5.6 Sol (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $3.00/1M | $5.00/1M |
| Output Cost | $15.00/1M | $30.00/1M |
| Blended (3:1) | $6.00/1M | $11.25/1M |
| Specifications | ||
| Organization | Anthropic | OpenAI |
| Release Date | Feb 17, 2026 | Jul 9, 2026 |
| Performance & Speed | ||
| Throughput | 71.3 tok/s | 67.4 tok/s |
| TTFT | 67159ms | 62457ms |
| Latency | 67159ms | 62457ms |
| Composite Indices | ||
| Value Score | 100.0 | 64.8 |
| Reasoning Score | 54.9 | 66.7 |
| Intelligence | 47.2 | 58.9 |
| Coding | 63.0 | 77.4 |
| Standard Benchmarks | ||
| GPQA | 87.5% | 94.1% |
| HLE | 30.0% | 47.2% |
| SciCode | 46.8% | 56.1% |
| LCR | 70.7% | 73.7% |
| IFBench | 56.6% | 72.7% |
| TAU-bench v2 | 75.7% | 85.1% |
| TerminalBench Hard | 53.0% | 65.9% |
Key Takeaways
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) offers the best value at $3.00/1M,making it ideal for high-volume applications and cost-conscious projects.
GPT-5.6 Sol (max) has the strongest reasoning profile with a 66.7 reasoning score,combining the available reasoning-heavy benchmarks.
GPT-5.6 Sol (max) reaches a 77.4 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 Sonnet 4.6 (Adaptive Reasoning, Max Effort)
- Cost-sensitive applications
- High-volume processing
GPT-5.6 Sol (max)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
