Articles can argue forever about which model is better. CouncilMind lets you settle it on your own prompt—run GPT-5 and Claude Opus 4.6 simultaneously, see both answers side by side, and let a third model judge which one won.
GPT-5: I'd structure this as a state machine with explicit transitions; the testability gain is worth the verbosity.
Claude Opus 4.6: A state machine works, but for this domain a finite-state library is overkill—a tagged union with exhaustive matching is leaner.
Verdict: Claude's answer is more idiomatic for this size; GPT-5's becomes correct as the state count grows past ~7.
Stop reading benchmarks. Run yours.
The most honest comparison is your prompt, not someone else's benchmark suite.
Watch both responses come in at the same time. Notice the differences in tone, depth, and accuracy.
A third model (Gemini or DeepSeek) reads both answers and picks a winner with reasoning.
No reading required
A live engineering question, a real research query, your actual writing draft.
GPT-5 and Claude Opus 4.6 stream answers in parallel.
A neutral third model explains which answer was stronger and why.
Free to try. Premium models included on the free tier.