Token Efficiency
A metric measuring the ratio between the total number of tokens a model consumes to complete a given task and the quality of its output, directly affecting API usage cost.
Core Facts
Timeline (last 90 days)
Token efficiency refers to the ratio between the total number of tokens a model consumes to complete a specific task and the output quality; under the token-based billing model, it directly determines usage cost.
On Qwen 7B, Jev achieved the highest Token efficiency in the study (η=0.930).
Token efficiency η is defined as the ratio of effective information tokens to total output tokens, and Vanilla RAG typically has an η value below 0.5 on similar tasks.
Third-party platform tests show that Opus 5.5's token efficiency is far inferior to that of the GPT-6 series.
The focus of industry discussion will shift from token accumulation to token efficiency.
Anthropic团队成员在社交媒体上分享了Opus 5发布时的核心数据图表，并透露该模型将大量工程精力投入到Token效率维度
Consistent efficiency optimization across domains is generally harder to achieve than single-point optimization, and better reflects the maturity of a model's underlying architecture and training strategy.
All Facts (7)
Consistent efficiency optimization across domains is generally harder to achieve than single-point optimization, and better reflects the maturity of a model's underlying architecture and training strategy.
75%UnverifiedToken efficiency refers to the ratio between the total number of tokens a model consumes to complete a specific task and the output quality; under the token-based billing model, it directly determines usage cost.
50%UnverifiedOn Qwen 7B, Jev achieved the highest Token efficiency in the study (η=0.930).
50%UnverifiedToken efficiency η is defined as the ratio of effective information tokens to total output tokens, and Vanilla RAG typically has an η value below 0.5 on similar tasks.
50%UnverifiedThird-party platform tests show that Opus 5.5's token efficiency is far inferior to that of the GPT-6 series.
50%UnverifiedThe focus of industry discussion will shift from token accumulation to token efficiency.
50%UnverifiedAnthropic团队成员在社交媒体上分享了Opus 5发布时的核心数据图表，并透露该模型将大量工程精力投入到Token效率维度
50%