Note: Overall leaderboard rankings may not reflect true model quality — individual benchmarks give a clearer picture. ARC-Challenge MMLU GPQA GSM8K Artificial Analysis Intelligence Index v4.1
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Sapbot: Tiny MNIST Classifier

1 benchmarks
CompanySapbot
Country of originRussia
WeightsOpen weights
Parameter count970
Release year2026
OriginTrained from scratch

Leaderboard position

#644
Overall rank (of 1121 models)
778
Elo rating
1
Benchmarks
Top 57.4%
Percentile
In Sapbot (of 8 models)

Benchmark highlights

Best benchmark
MNIST 92.35
Worst benchmark
MNIST 92.35

Nearest competitor from another company

The model from another company with the most similar benchmark scores.

appeared as nearest in 1 of 1 benchmarks

Benchmarks

Predicted scores

Estimated from 25 similar models and the global Elo rating. These are projections, not measured results.

Benchmark Predicted Confidence Based on
MATH-500 ~85.06 50% —
AIME 2025 ~63.59 50% —
AIME 2026 ~72.02 50% —
HMMT Feb 2026 ~63.52 50% —
GPQA Diamond ~56.4 50% —
MMLU-Pro ~59.35 50% —
Humanity's Last Exam (no tools) ~10.28 50% —
IFEval ~81.23 50% —
IFBench ~52.07 50% —
HumanEval ~71.49 50% —
MBPP ~74.13 50% —
Terminal-Bench v2.1 ~18.86 50% —
MMLU ~65.7 50% —
SWE-bench Verified ~36.79 50% —
SWE-bench Pro ~15.9 50% —
SciCode ~25.73 50% —
AA-LCR ~41.6 50% —
Artificial Analysis Intelligence Index v5.0.1 ~12 50% —
Humanity's Last Exam (with tools) ~14.04 50% —
GSM8K ~79.95 50% —
-(CoderPPL) ~-1.69 50% —
LiveCodeBench v6 ~54.18 50% —
MMMU-Pro ~51.52 50% —
MATH ~57.55 50% —
BBH ~63.63 50% —