Objective comparison based on public benchmarks updated weekly: Intelligence Index, GPQA Diamond, Chatbot Arena ELO, pricing and speed.
Overall winner (2026)
Claude Opus 4.7
5 of 7 criteria won
Anthropic
ELO Arena
1471
Intelligence Index
35.9
Coding Index
46.4
2 criteria won
View full profile →Anthropic
ELO Arena
1503
Intelligence Index
53.5
Coding Index
73.6
5 criteria won
View full profile →| Critério | Claude Sonnet 4.6 | Claude Opus 4.7 |
|---|---|---|
| Chatbot Arena ELO | 1471 | 1503 ✓ |
| Intelligence Index (AA) | 35.9 | 53.5 ✓ |
| Coding Index (AA) | 46.4 | 73.6 ✓ |
| GPQA Diamond | 80.0% | 91.0% ✓ |
| Input price ($/1M tok) | $3.00 ✓ | $5.00 |
| Output price ($/1M tok) | $15.00 ✓ | $25.00 |
| Context window | 1.0M tokens | 1.0M tokens |
| Speed (tokens/s) | 45 tok/s | 51 tok/s ✓ |
✓ = winner in this criterion • Source: Artificial Analysis, LMArena, official APIs • Updated weekly
Choosing between Claude Sonnet 4.6 and Claude Opus 4.7 depends on your use case, budget and technical requirements. Below, a practical guide based on benchmark data and each model's specifications.
Anthropic · Multimodal
Anthropic · Multimodal
Claude Opus 4.7 wins in 5 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 4.6 costs $3/1M input tokens, while Claude Opus 4.7 costs $5/1M tokens — 67% more expensive. For high-volume projects, Claude Sonnet 4.6 represents significant savings. Total cost also depends on output pricing and your application's usage pattern.
Claude Sonnet 4.6 and Claude Opus 4.7 have the same context window: 1.0M tokens. For this criterion, the choice should be based on other factors like pricing and quality for your specific use case.