Objective comparison based on public benchmarks updated weekly: Intelligence Index, Chatbot Arena ELO, pricing and speed.
Overall winner (2026)
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
4 of 7 criteria won
Anthropic
Intelligence Index
56.0
4 criteria won
View full profile →OpenAI
ELO Arena
1476
Intelligence Index
52.7
Coding Index
76.9
3 criteria won
View full profile →| Critério | Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) | GPT-6 Astra (max) |
|---|---|---|
| Chatbot Arena ELO | — | 1476 ✓ |
| Intelligence Index (AA) | 56.0 ✓ | 52.7 |
| Coding Index (AA) | — | 76.9 ✓ |
| Input price ($/1M tok) | $2.00 ✓ | $10.00 |
| Output price ($/1M tok) | $10.00 ✓ | $50.00 |
| Context window | 1.0M tokens | 1.1M tokens ✓ |
| Speed (tokens/s) | 138 tok/s ✓ | 51 tok/s |
✓ = winner in this criterion • Source: Artificial Analysis, LMArena, official APIs • Updated weekly
Choosing between Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) and GPT-6 Astra (max) depends on your use case, budget and technical requirements. Below, a practical guide based on benchmark data and each model's specifications.
Anthropic · Text
OpenAI · Text
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) wins in 4 of 7 criteria analyzed. Check the full table to choose based on your use case.
Data is aggregated from Artificial Analysis (Intelligence Index, Coding Index) and Chatbot Arena/LMArena (ELO). Pricing and specs come from official APIs. Updated weekly.
The Intelligence Index is an aggregate score from Artificial Analysis that combines multiple academic benchmarks (MMLU, GPQA, LiveBench, etc.) into a single rating. The higher the score, the more capable the model is at reasoning tasks.
Yes. Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) costs $2/1M input tokens, while GPT-6 Astra (max) costs $10/1M tokens — 400% more expensive. For high-volume projects, Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) represents significant savings. Total cost also depends on output pricing and your application's usage pattern.
GPT-6 Astra (max) has the larger context window: 1.1M tokens vs 1.0M tokens. For long document analysis, extensive transcripts or full codebases, the larger context window is a decisive criterion.