Model Comparison
Qwen2.5 72B Instruct vs Qwen3 32BWhich is better in 2026?
Qwen3 32B significantly outperforms across most benchmarks. Qwen3 32B is 2.4x cheaper per token.
Verdict: Qwen2.5 72B Instruct vs Qwen3 32B — which is better?
Qwen2.5 72B Instruct (by Alibaba Cloud / Qwen Team) and Qwen3 32B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Qwen2.5 72B Instruct outperforms in 0 benchmarks, while Qwen3 32B is better at 3 benchmarks (Arena Hard, LiveBench, LiveCodeBench). Qwen3 32B significantly outperforms across most benchmarks.
On price, Qwen3 32B is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen2.5 72B Instruct also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen2.5 72B Instruct if…
- you process long inputs — it offers a 131,072 token context window
Choose Qwen3 32B if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- cost matters — it's about 2.4x cheaper per token
- you want the most recent training data — it shipped Apr 2025
Performance Benchmarks
Comparative analysis across standard metrics
Qwen2.5 72B Instruct outperforms in 0 benchmarks, while Qwen3 32B is better at 3 benchmarks (Arena Hard, LiveBench, LiveCodeBench).
Qwen3 32B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen2.5 72B Instruct ($0.35/1M tokens) is 3.5x more expensive than Qwen3 32B ($0.10/1M tokens).
For output processing, Qwen2.5 72B Instruct ($0.40/1M tokens) is 1.3x more expensive than Qwen3 32B ($0.30/1M tokens).
In conclusion, Qwen2.5 72B Instruct is more expensive than Qwen3 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen2.5 72B Instruct has 39.9B more parameters than Qwen3 32B, making it 121.6% larger.
Context Window
Maximum input and output token capacity
Qwen2.5 72B Instruct accepts 131,072 input tokens compared to Qwen3 32B's 128,000 tokens. Qwen3 32B can generate longer responses up to 128,000 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.
License
Usage and distribution terms
Qwen2.5 72B Instruct is licensed under Qwen, while Qwen3 32B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Qwen
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen2.5 72B Instruct was released on 2024-09-19, while Qwen3 32B was released on 2025-04-29.
Qwen3 32B is 7 months newer than Qwen2.5 72B Instruct.
Sep 19, 2024
1.8 years ago
Apr 29, 2025
1.2 years ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together. Qwen3 32B is available from DeepInfra, Novita, Sambanova.
Qwen2.5 72B Instruct
Qwen3 32B
Outputs Comparison
Key Takeaways
Qwen2.5 72B Instruct
View detailsAlibaba Cloud / Qwen Team
Qwen3 32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen2.5 72B Instruct and Qwen3 32B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen2.5 72B Instruct vs Qwen3 32B.