[KongchangAI]
Benchmark

S1MB

A public leaderboard for evaluating decision engines or models, comprising 152 models.

Timeline (last 90 days)

Oct 20

S1MB is a public decision-model leaderboard covering 197 models and 137 benchmarks, ranked by rank aggregation rather than score averaging.

Unverified50%
Oct 14

S1MB (System One Mosaic Benchmark) is a benchmark specifically for evaluating decision models, which output judgments directly rather than generating text.

Unverified50%
Oct 14

S1MB uses the Borda count method, ranking multiple specialized benchmarks separately and then converting them into scores to average, avoiding a single task dominating the final result.

Unverified50%
Oct 14

The operator of the S1MB leaderboard added a Japanese track, japanese-v1, containing 27 Japanese benchmarks.

Unverified50%
Oct 14

Darwin-27B-ZTC-v5 took first place on the S1MB Japanese track with a Borda score of 84.57, leading second-place Perplexity (80.86) by 3.71 points.

Expired50%
Oct 14

Darwin ZTC is also first place on the S1MB English track (160 models), with a score of 90.80.

Expired50%
Oct 13

VIDRAFT's judgment engine model Darwin-27B-ZTC-v5 ranked first among 152 models on the public benchmark S1MB, and the company says its performance exceeds the models of Perplexity, Cloudflare, and Meta.

Expired50%
Oct 13

On the public S1MB leaderboard, Darwin-27B-ZTC-v5 ranks first among 152 models.

Expired65%

All Facts (4)

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