T3 Code Claims 2x OpenAI Throughput

The headline is striking, but it measures orchestration demand—not model-serving performance. If the comparison holds, it shows how quickly multi-agent coding workflows are scaling outside traditional provider interfaces.

• –T3 Code aggregates usage across multiple agent harnesses, accounts, and parallel sessions.
• –The comparison is not independently verified, and token definitions, time windows, caching, and reasoning-token accounting are unclear.
• –T3’s bring-your-own-subscription model makes it a neutral control layer rather than another model provider.
• –The bigger signal is that agent orchestration may become as strategically important as the underlying models.
• –Developers should track cost, rate-limit burn, latency, and code quality alongside raw token throughput.