2026-07-22
Describe what the benchmark measures and how the imported score was produced.
Published 2026-07-22 / 0 source votes / retrieved 2026-07-22 / Imported from the source's published leaderboard.
Anthropic / arena-v1
Blind preference, cited external scores, and evaluation economics. Every result keeps its sample count and source date attached.
Combined quality
91.2
Arena score
Pending
Median latency
Pending
Valid votes
0
Claude Sonnet 5 is a Anthropic model in the RouterPlex catalog. This page gathers the quality, latency, and cost signals that can be tied to that model with a source and a date. The combined quality figure is a summary of those signals. Read the category table for the task you actually run, then read the evidence column before you treat a score as settled. A single headline number is a starting point for a shortlist.
Arena scores come from blind votes on RouterPlex. Each vote compares two anonymous answers, and the score moves when people prefer one output. The valid-vote count is the sample behind that preference. A small sample can swing after a few more votes, so a thin evidence label means the rank is a hint. Run your own prompts before you move production traffic onto Claude Sonnet 5.
External rows are cited snapshots from public leaderboards. Each row keeps the source name, the raw score, the percentile used for comparison, the publish date, and the day the row was retrieved. Those numbers describe the source's test set. They do not measure your documents, your tools, or your latency budget. A high external percentile is a reason to try Claude Sonnet 5, and the trial still has to use your workload.
Claude Sonnet 5 is billed at the vendor list rate on RouterPlex: $2.00 per million input tokens and $10.00 per million output tokens. A lower score at a lower rate can be the right default when the task is short and easy to check. A higher score is worth the rate when a mistake is expensive to catch. Compare the Claude Sonnet 5 model page with pricing before you buy credit.
This page does not call Claude Sonnet 5 the best model in the catalog, and it does not fold a failed sample into the headline score. It also does not replace a blind comparison on your own prompts. Use a related comparison when one is published. Then open a capped key in the playground or the Arena and keep the model your workload prefers.
Task analysis
| Category | Quality | Arena | External | Evidence |
|---|---|---|---|---|
| overall | 91.2 | Pending | 91.2 | Cited snapshot |
Provenance
2026-07-22
Describe what the benchmark measures and how the imported score was produced.
Published 2026-07-22 / 0 source votes / retrieved 2026-07-22 / Imported from the source's published leaderboard.
Your workload is the final benchmark
Use it directly, or put it into a blind head-to-head comparison.