GPT-6.1 Terra vs Muse Wonder Full: benchmarks and token cost

This comparison uses GPT-6.1 Terra (Max) and Muse Wonder Full (Max). It summarises the current captured benchmark records, with no new hands-on test.

Two close aggregate scores with uneven operational evidence

Terra records 51.3 against Muse Wonder Full’s 50.1. Terra’s $1/$5 input/output rates and response metrics are available, while Muse’s are missing. A small index gap does not establish equivalence, and the missing commercial fields prevent a fair rate comparison. Test both on the same tasks once access and measurements are established.

How to evaluate the difference

The intelligence index is an aggregate measurement, not a percentage of correct answers in an application. Input and output prices are separate rates per million tokens. Coding and math indices are unavailable in this capture and must not be read as zero. First-token latency and output-token throughput measure different parts of response time. Use the same task set, effort settings and acceptance criteria when comparing variants. Provider features, access and deployment requirements need their own checks. These notes report captured data and editorial evaluation criteria; they do not claim a new hands-on test.