Codesota · Models · Qwen2.5-PlusUnknown9 results · 9 benchmarks
Model card

Qwen2.5-Plus.

Unknown

Imported from Papers with Code dump

§ 02 · Benchmarks

Every benchmark Qwen2.5-Plus has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01Arena-HardNatural Language Processing · Language ModelingAccuracy81.4%#1/1source ↗
02GPQANatural Language Processing · Language ModelingAccuracy49.7%#1/1source ↗
03GSM8kNatural Language Processing · Language ModelingAccuracy96.0%#1/1source ↗
04HumanEvalGeneral · Coding AgentsPass@187.8%#1/1source ↗
05IFEvalNatural Language Processing · Language ModelingAccuracy86.3%#1/1source ↗
06LivebenchNatural Language Processing · Language ModelingAccuracy54.6%#1/1source ↗
07MATHNatural Language Processing · Language ModelingAccuracy84.7%#1/1source ↗
08MMLU-ProNatural Language Processing · Language ModelingAccuracy72.5%#1/1source ↗
09MultiPL-EGeneral · Coding AgentsPass@177.0%#1/1source ↗
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area

Where Qwen2.5-Plus actually performs.

Natural Language Processing
7
benchmarks
avg rank #1.0
General
2
benchmarks
avg rank #1.0
§ 04 · Papers

1 paper with results for Qwen2.5-Plus.

  1. 2024-12-19· Natural Language Processing· 9 results

    Qwen2.5 Technical Report

    Qwen, :, An Yang, Baosong Yang et al.
§ 05 · Related models

Other Unknown models scored on Codesota.

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§ 06 · Sources & freshness

Where these numbers come from.

paper
9
results
0 of 9 rows marked verified.