Independent benchmark desk / July 2026 baseline
Claude Reports
Source-first analysis of Claude, GPT, and agentic AI benchmarks. We preserve the part most leaderboard screenshots omit: model access, harness, effort, cost, contamination risk, and what the score is allowed to prove.
Featured analysis
Claude vs GPT is not one scoreboard.
The right comparison changes when the benchmark changes. SWE-Bench Pro, Terminal-Bench, provider launch tables, and private task suites answer different questions.
Coding
Claude vs GPT Coding Benchmarks: What the 2026 Scores Actually Say
A source-first comparison of Claude and GPT coding benchmark claims, with SWE-Bench Pro, Terminal-Bench, model availability, and effort settings separated.
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Methodology
SWE-Bench Pro vs Verified
Use Verified for continuity and Pro for current frontier signal; when scores conflict, inspect dataset, scaffold, cost caps, and whether the result is model-only or agent-plus-model.
Agentic Coding
Terminal-Bench Agents
Terminal-Bench is strongest when you care about the shipped agent experience, not when you want to isolate a base-model capability.
Cost
Cost and Context
Compare total task cost: input, cache writes, cache reads, output, effort, retries, and whether the model finishes without human intervention.
Primary-source posture
"SWE-Bench Verified is increasingly contaminated."
OpenAI's warning is one reason this site reports benchmark provenance, not just winner labels. Read the source.