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Claude Code Radar

Track Claude Code model score, cost, runtime, cache behavior, and quota posture in a format that stays tied to onesagent product decisions.

Use Claude Code with onesagentSee best model for competitor research
Latest status
measured snapshot
Claude Code public benchmark snapshot

Current public data emphasizes single-snapshot benchmark, cost, time, and cache metrics rather than event windows.

Quota summary
Observed usage posture
5h: unknown
7d: unknown
unknown
models overview

The models buyers are actually comparing.

Opus 4.8 High
yellow
Score: 75
Cost: $62.34
Runtime: 12449s
Tasks passed: 6/12
Open model set
Sonnet 4.6 High
green
Score: 83.3
Cost: $31.22
Runtime: 7680s
Tasks passed: 7/12
Open model set
Related model sets
/models/claude-models
Related comparisons
/compare/codex-vs-claude-code/compare/gpt-5-5-high-vs-sonnet-4-6-high
Related guides
/guides/best-model-for-competitor-research
Generated: 2026-07-01T12:30:00+08:00
Latest successful sync: 2026-07-01T12:20:00+08:00
Freshness: fresh_with_public_source_sync
Attribution: Public data observed from Claude Code Radar
Sources
Claude Code RadarClaude Code Radar JSON
FAQ

Direct answers for searchers.

Does this page replace Claude Code Radar?

No. It is a normalized product layer that helps buyers compare runtime behavior inside the onesagent decision flow.

Why are some quota fields unknown?

onesagent preserves unknown values as unknown instead of fabricating certainty when the public source does not expose durable quota detail.