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Qwen2.5 32B Instruct vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct leads the LLM Stats Score 12.5 to 7.8.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2.5 72B Instruct leads the overall LLM Stats Score 12.5 to 7.8, ranking #239 overall.

The models split the 8 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Qwen2.5 32B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Choose Qwen2.5 72B Instruct

  • overall performance matters — it scores 12.5 and ranks #239 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

Core performance indexes
7.8
#273
12.5
#239
7.3
#271
12.6
#233
9.5
#164
9.3
#167
Cost, coverage & limits
Benchmark wins
4 of 8
4 of 8
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Qwen2.5 32B Instruct
Qwen2.5 72B Instruct
16.7#194
18.4#172
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Qwen2.5 32B Instruct · 14 for Qwen2.5 72B Instruct

8 shared

Qwen2.5 32B Instruct outperforms in 4 benchmarks (GPQA, GSM8k, HumanEval, MultiPL-E), while Qwen2.5 72B Instruct is better at 3 benchmarks (MBPP, MMLU-Pro, MMLU-Redux).

Qwen2.5 32B Instruct has a slight edge in benchmark performance.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

40.2B diff

Qwen2.5 72B Instruct has 40.2B more parameters than Qwen2.5 32B Instruct, making it 123.7% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
32.5Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
32.5B
Qwen2.5 32B Instruct
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

Qwen2.5 32B Instruct is licensed under Apache 2.0, while Qwen2.5 72B Instruct uses Qwen.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Both models were released on 2024-09-19.

They likely represent similar generations of model development.

Qwen2.5 32B Instruct

Sep 19, 2024

2.0 years ago

Qwen2.5 72B Instruct

Sep 19, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Qwen2.5 32B Instruct and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.

Qwen2.5 32B Instruct
✓ Preferred
Qwen2.5 72B Instruct
Open in Playground

FAQ

Common questions about Qwen2.5 32B Instruct vs Qwen2.5 72B Instruct.

Which is better, Qwen2.5 32B Instruct or Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct leads the LLM Stats Score 12.5 to 7.8. Qwen2.5 32B Instruct is made by Alibaba Cloud / Qwen Team and Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Qwen2.5 32B Instruct compare to Qwen2.5 72B Instruct in benchmarks?

Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for Qwen2.5 32B Instruct and Qwen2.5 72B Instruct?

Qwen2.5 32B Instruct supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen2.5 32B Instruct and Qwen2.5 72B Instruct?

Key differences include LLM Stats Score (7.8 vs 12.5), licensing (Apache 2.0 vs Qwen). See the full comparison above for benchmark-by-benchmark results.