Qwen2.5 72B Instruct vs Qwen3 32B
Qwen3 32B leads the LLM Stats Score 18.6 to 12.2. Qwen3 32B is 2.8x cheaper per token.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 32B leads the overall LLM Stats Score 18.6 to 12.2, ranking #209 overall.
In the 3 individual benchmarks reported for both models, Qwen3 32B wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3 32B is roughly 2.8x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Qwen2.5 72B Instruct
- you process long inputs — it offers a 131,072 token context window
Choose Qwen3 32B
- overall performance matters — it scores 18.6 and ranks #209 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- cost matters — it's about 2.8x cheaper per token
- you want the most recent training data — it shipped Apr 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
14 reported for Qwen2.5 72B Instruct · 9 for Qwen3 32B
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.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen2.5 72B Instruct ($0.35/1M tokens) is 4.4x more expensive than Qwen3 32B ($0.08/1M tokens).
For output processing, Qwen2.5 72B Instruct ($0.40/1M tokens) is 1.4x more expensive than Qwen3 32B ($0.28/1M 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 40,960 tokens. Qwen3 32B can generate longer responses up to 40,960 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
2.0 years ago
Apr 29, 2025
1.4 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
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.
FAQ
Common questions about Qwen2.5 72B Instruct vs Qwen3 32B.