Model Comparison
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
vs. GPT-6 Astra (xhigh)
Comparing 2 AI models · 0 benchmarks · Anthropic, OpenAI
Recommended Pick
AnClaude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)7 metric winsStrongest on: Value, Input price, Output price
Best Value
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
100.0 value score
56.0 reasoning / $4.00/1M
Lowest Price
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
$2.00/1M input price
Best Reasoning
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
56.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-6 Astra (xhigh)
75.9 coding index
Differences That Matter
Best value
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) is 5.0x cheaper on input tokens than GPT-6 Astra (xhigh).
Speed gap
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) generates about 2.8x as many tokens per second as GPT-6 Astra (xhigh).
Reasoning gap
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) leads GPT-6 Astra (xhigh) by 3.6 points on reasoning.
Top-pick rationale
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) wins 7 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
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-6 Astra (xhigh)
OpenAI
TTFT
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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?
Secure AI Chat made in Europe
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
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Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Top Pick An Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) | Op GPT-6 Astra (xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $10.00/1M |
| Output Cost | $10.00/1M | $50.00/1M |
| Blended (3:1) | $4.00/1M | $20.00/1M |
| Specifications | ||
| Organization | Anthropic | OpenAI |
| Release Date | Sep 28, 2026 | Sep 3, 2026 |
| Performance & Speed | ||
| Throughput | 138.7 tok/s | 49.4 tok/s |
| TTFT | 435690ms | 126250ms |
| Latency | 435690ms | 126250ms |
| Composite Indices | ||
| Value Score | 100.0 | 18.7 |
| Reasoning Score | 56.0 | 52.4 |
| Intelligence | 56.0 | 52.4 |
| Coding | — | 75.9 |
Key Takeaways
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) offers the best value at $2.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) has the strongest reasoning profile with a 56.0 reasoning score,combining the available reasoning-heavy benchmarks.
GPT-6 Astra (xhigh) reaches a 75.9 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 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
GPT-6 Astra (xhigh)
- Code generation
- Software development
