Qwen2.5 72B Instruct vs Qwen2.5-Coder 32B Instruct Comparison

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Qwen2.5 72B Instruct outperforms in 5 benchmarks (GSM8k, LiveCodeBench, MATH, MMLU-Pro, MMLU-Redux), while Qwen2.5-Coder 32B Instruct is better at 2 benchmarks (HumanEval, MBPP).

Qwen2.5 72B Instruct shows notably better performance in the majority of benchmarks.

Sun Mar 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5-Coder 32B Instruct costs less

For input processing, Qwen2.5 72B Instruct ($0.35/1M tokens) is 3.9x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, Qwen2.5 72B Instruct ($0.40/1M tokens) is 4.4x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, Qwen2.5 72B Instruct is more expensive than Qwen2.5-Coder 32B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Mar 15 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input tokens$0.09
Output tokens$0.09
Best providerLambda
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Model Size

Parameter count comparison

40.7B diff

Qwen2.5 72B Instruct has 40.7B more parameters than Qwen2.5-Coder 32B Instruct, making it 127.2% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
72.7B
Qwen2.5 72B Instruct
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 72B Instruct accepts 131,072 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. Qwen2.5-Coder 32B Instruct can generate longer responses up to 128,000 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.

Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Sun Mar 15 2026 • llm-stats.com

License

Usage and distribution terms

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

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

Qwen2.5 72B Instruct

Qwen

Open weights

Qwen2.5-Coder 32B Instruct

Apache 2.0

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 72B Instruct

Sep 19, 2024

1.5 years ago

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.5 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

Provider Availability

Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks. The availability of providers can affect quality of the model and reliability.

Qwen2.5 72B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M

Qwen2.5-Coder 32B Instruct

lambda logo
Lambda
Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher GSM8k score (95.8% vs 91.1%)
Higher LiveCodeBench score (55.5% vs 31.4%)
Higher MATH score (83.1% vs 57.2%)
Higher MMLU-Pro score (71.1% vs 50.4%)
Higher MMLU-Redux score (86.8% vs 77.5%)
Less expensive input tokens
Less expensive output tokens
Higher HumanEval score (92.7% vs 86.6%)
Higher MBPP score (90.2% vs 88.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct