Model decision surface
Compare AI models
Start with Claude Sonnet 5 and GPT-5.5, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
Claude Sonnet 5 vs GPT-5.5
Live dataset updated 9/22/2026, 9:31:46 PM UTC
Open 1200×630 evidence receipt| Field | Claude Sonnet 5 Anthropic | GPT-5.5 OpenAI |
|---|---|---|
| ModelCap position | #26 | #13 |
| Index score | 78.5 | 82.5 |
| Evidence | Measured4 public benchmark observations across 4 boards | Measured7 public benchmark observations across 7 boards |
| Input / 1M | $2.00 | $5.00 |
| Output / 1M | $10.00 | $30.00 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 5 | 3 |
| Weight access | API only | API only |
Decision facts
- Claude Sonnet 5 is #26; GPT-5.5 is #13 on the same current language board.
- Index scores are 78.5 for Claude Sonnet 5 and 82.5 for GPT-5.5. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $10.00 for Claude Sonnet 5 and $30.00 for GPT-5.5. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $9.00 for Claude Sonnet 5 versus $25.00 for GPT-5.5. Claude Sonnet 5 costs 64.0% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 1,000,000 tokens for Claude Sonnet 5 and 1,050,000 for GPT-5.5.
- ModelCap currently lists 5 providers for Claude Sonnet 5 and 3 for GPT-5.5.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.