Model Comparison

Qwen2.5 72B Instruct vs QwQ-32B-Preview

Both models are evenly matched across the benchmarks. QwQ-32B-Preview is 2.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen2.5 72B Instruct outperforms in 1 benchmarks (LiveCodeBench), while QwQ-32B-Preview is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, Qwen2.5 72B Instruct ($0.35/1M tokens) is 2.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, Qwen2.5 72B Instruct ($0.40/1M tokens) is 2.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

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

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

Lowest available price from all providers
Fri Apr 17 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
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

40.2B diff

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

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

Context Window

Maximum input and output token capacity

Qwen2.5 72B Instruct accepts 131,072 input tokens compared to QwQ-32B-Preview's 32,768 tokens. QwQ-32B-Preview can generate longer responses up to 32,768 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
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

Qwen2.5 72B Instruct is licensed under Qwen, while QwQ-32B-Preview 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

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 72B Instruct was released on 2024-09-19, while QwQ-32B-Preview was released on 2024-11-28.

QwQ-32B-Preview is 2 months newer than Qwen2.5 72B Instruct.

Qwen2.5 72B Instruct

Sep 19, 2024

1.6 years ago

QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

2mo newer

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Qwen2.5 72B Instruct's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Qwen2.5 72B Instruct's cutoff date.

Qwen2.5 72B Instruct

—

QwQ-32B-Preview

Nov 2024

Provider Availability

Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

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

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
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
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher LiveCodeBench score (55.5% vs 50.0%)
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Higher GPQA score (65.2% vs 49.0%)

Detailed Comparison

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

FAQ

Common questions about Qwen2.5 72B Instruct vs QwQ-32B-Preview

Both models are evenly matched across the benchmarks. Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
QwQ-32B-Preview is 2.3x cheaper for input tokens. Qwen2.5 72B Instruct costs $0.35/M input and $0.40/M output via deepinfra. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
Qwen2.5 72B Instruct supports 131K tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 33K), input pricing ($0.35 vs $0.15/M), licensing (Qwen vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.