Benchmarks1mo ago
Qwen/Qwen2.5-72B — Open LLM Leaderboard #377
Avg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
View sourceAlibaba
Alibaba's strong open-weight model with excellent multilingual and coding performance.
Running this yourself: likely needs a high-memory cloud gpu.
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62.9
Quality Score
1272
Arena ELO
72B
Parameters
131K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
20 of 22 public signals
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2.8M
Downloads
4.5K
Likes
Sep 2024
Released
5/5 signals
4/4 signals
5/5 signals
2/4 signals
4/4 signals
Parameters
73B
Training compute
7.8e24 FLOP
Dataset scale
18.0T units
Base model
Not reported
Source-reported access: Open weights (unrestricted) · Confident confidence
Gaps we are still tracking
Benchmarks
19
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Avg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
View sourceAvg: 48.0 | IFEval: 86.4 | BBH: 61.9 | MATH: 59.8 | GPQA: 16.7 | MMLU-PRO: 51.4
View sourceAvg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
Avg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
View sourceAvg: 48.0 | IFEval: 86.4 | BBH: 61.9 | MATH: 59.8 | GPQA: 16.7 | MMLU-PRO: 51.4
View sourceAvg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
View sourceAvg: 48.0 | IFEval: 86.4 | BBH: 61.9 | MATH: 59.8 | GPQA: 16.7 | MMLU-PRO: 51.4
Avg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
Avg: 48.0 | IFEval: 86.4 | BBH: 61.9 | MATH: 59.8 | GPQA: 16.7 | MMLU-PRO: 51.4
Avg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
Avg: 48.0 | IFEval: 86.4 | BBH: 61.9 | MATH: 59.8 | GPQA: 16.7 | MMLU-PRO: 51.4
Avg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
Avg: 48.0 | IFEval: 86.4 | BBH: 61.9 | MATH: 59.8 | GPQA: 16.7 | MMLU-PRO: 51.4
Avg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
Avg: 48.0 | IFEval: 86.4 | BBH: 61.9 | MATH: 59.8 | GPQA: 16.7 | MMLU-PRO: 51.4
Avg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
Avg: 48.0 | IFEval: 86.4 | BBH: 61.9 | MATH: 59.8 | GPQA: 16.7 | MMLU-PRO: 51.4
Avg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
Avg: 48.0 | IFEval: 86.4 | BBH: 61.9 | MATH: 59.8 | GPQA: 16.7 | MMLU-PRO: 51.4
Avg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
Avg: 48.0 | IFEval: 86.4 | BBH: 61.9 | MATH: 59.8 | GPQA: 16.7 | MMLU-PRO: 51.4
Avg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
Avg: 48.0 | IFEval: 86.4 | BBH: 61.9 | MATH: 59.8 | GPQA: 16.7 | MMLU-PRO: 51.4
Avg: 38.4 | IFEval: 41.4 | BBH: 54.6 | MATH: 39.1 | GPQA: 20.7 | MMLU-PRO: 55.2
Qwen2.5-72B is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.