BenchmarksToday
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 sourceQwen
In the past three months since Qwen2’s release, numerous developers have built new models on the Qwen2 language models, providing us with valuable feedback. During this period, we have focused on creating smarter and more knowledgeable language models.
Today, we are excited to introduce the latest addition to the Qwen family: Qwen2.5.
Live access is not confirmed for this model. No current purchase price is advertised.
No current subscription pricing is tracked for this model.
Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.
No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.
29.7
Quality Score
---
Arena ELO
73B
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.
18 of 22 public signals
Sign in to join the discussion
45.0K
Downloads
103
Likes
Sep 2024
Released
5/5 signals
3/4 signals
3/5 signals
3/4 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.