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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Databricks: DBRX Instruct

2 benchmarks
CompanyDatabricks
Country of originUSA

Leaderboard position

#1050
Overall rank (of 1122 models)
-340
Elo rating
2
Benchmarks
Top 93.6%
Percentile
In Databricks (of 1 models)

Benchmark highlights

Nearest competitor from another company

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

appeared as nearest in 1 of 2 benchmarks

Model Votes % of benchmarks
Cohere Labs: c4ai-command-r-plus 1 50.0%
Qwen: qwen3-1.7b 1 50.0%

Benchmarks

Predicted scores

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

Benchmark Predicted Confidence Based on
Artificial Analysis Intelligence Index v5.0.1 ~12 50% —
MATH-500 ~65.7 50% —
AIME 2025 ~26.89 50% —
AIME 2026 ~50.44 50% —
HMMT Feb 2026 ~41.8 50% —
GPQA Diamond ~31.82 50% —
MMLU-Pro ~31.94 50% —
Humanity's Last Exam (no tools) ~4 50% —
IFEval ~65.98 50% —
IFBench ~33.59 50% —
HumanEval ~39.09 50% —
MBPP ~31.68 50% —
Terminal-Bench v2.1 ~8.6 50% —
MMLU ~36.93 50% —
SWE-bench Verified ~2.02 50% —
SWE-bench Pro ~5.24 50% —
SciCode ~8.13 50% —
AA-LCR ~19.66 50% —
Humanity's Last Exam (with tools) ~11.9 50% —
GSM8K ~37.96 50% —
-(CoderPPL) ~-8.31 50% —
LiveCodeBench v6 ~28.67 50% —
MMMU-Pro ~30.51 50% —
MATH ~10.7 50% —
BBH ~38.86 50% —