token-efficiency

GitHub published benchmark results for its Copilot agentic harness, which supports more than 20 models from providers including Anthropic, OpenAI, and others. The company claims the harness delivers leading token efficiency while maintaining flexibility across model choices.

GitHub has updated Copilot's architecture to optimize token consumption through improved context handling and model routing. The changes aim to make user credits last longer by reducing unnecessary token usage in coding sessions.

Augment Code benchmarked its Auggie agent against Claude Code on Claude Opus 4.7, reporting a 67.4% pass rate versus 66.3% while cutting costs by 33%. The company attributes savings to a semantic context engine that reduces cache read tokens by 32% and output tokens by 37% compared to Claude Code's keyword-based retrieval.