Aya Expanse 32B vs Qwen 2.5 32B
Side-by-side specs, benchmarks, and a verdict by use case.
Updated 2026-07-13
| Spec | Aya Expanse 32B | Qwen 2.5 32B |
|---|---|---|
| Parameters | 32B | 32B |
| Author | Cohere For AI | Alibaba |
| License | CC-BY-NC 4.0 | Apache 2.0 |
| Context window | 0k | 0k |
| VRAM at Q4 | 19 GB | 19 GB |
| VRAM at Q5 | 23 GB | 23 GB |
| VRAM at Q8 | 35 GB | 35 GB |
| VRAM at FP16 | 64 GB | 64 GB |
| Use cases | chat, general, multilingual | chat, general |
Verdict
Both models sit in a similar size class. The pick depends on tags, license, and benchmarks rather than raw parameter count.
For unambiguous commercial use, Qwen 2.5 32B has the safer license (Apache 2.0) compared to CC-BY-NC 4.0.
The two models at a glance
About Aya Expanse 32B
The 32B sibling of Aya Expanse from Cohere For AI, delivering a 25% gain on low-resource languages and 89.9% win rate on Dolly vs Mixtral 8x22B. CC-BY-NC. Strengths: 25% improvement on low-resource languages vs peers, 23 language coverage, 89.9% win rate on Dolly vs Mixtral 8x22B, Strong general performance for its size.
About Qwen 2.5 32B
Alibaba's Qwen 2.5 32B, the open-weight 32B reference of late 2024 — matching 70B-class quality on most benchmarks at half the VRAM. Strengths: Quality on par with many 70B models, 128k context, Apache 2.0 license, Strong math, code, and reasoning.
How they compare
Aya Expanse 32B comes from Cohere For AI and Qwen 2.5 32B from Alibaba, they belong to the Aya and Qwen families respectively. This comparison is built entirely from structured specs — parameter count, VRAM by quantization, context window, license, and published benchmark scores — so the verdict below reflects measurable differences rather than marketing claims.
Aya Expanse 32B and Qwen 2.5 32B share the same 32B parameter class. Both need about 19 GB of VRAM at a Q4 quantization, so they fit the same GPU tier.
The two models target different sweet spots: Aya Expanse 32B is tuned for chat, general, multilingual, while Qwen 2.5 32B leans toward chat, general. Match the model to your dominant workload rather than to raw size.
For long-context work, Qwen 2.5 32B offers the bigger window (128k vs 8k tokens).
Memory, quantization & throughput
Across quantization levels, Aya Expanse 32B requires Q4 ≈ 19 GB, Q5 ≈ 23 GB, Q8 ≈ 35 GB, FP16 ≈ 64 GB, while Qwen 2.5 32B requires Q4 ≈ 19 GB, Q5 ≈ 23 GB, Q8 ≈ 35 GB, FP16 ≈ 64 GB. In practice Aya Expanse 32B wants a 24 GB card at Q4, so plan your GPU around the Q4 or Q5 figure unless you specifically need the higher fidelity of Q8 or FP16.
Without a GPU, Aya Expanse 32B needs roughly 32 GB of system RAM to run on CPU and Qwen 2.5 32B about 32 GB — workable for offline use but far slower than GPU inference. On a mid-range GPU you can expect on the order of 12 tokens/sec from Aya Expanse 32B and 12 from Qwen 2.5 32B, scaling up to 30 and 30 tokens/sec on high-end hardware.
Which fits your GPU
Here is the highest-quality quantization of each model that fits common GPU memory budgets, so you can match Aya Expanse 32B or Qwen 2.5 32B to the card you actually own:
- On a 24 GB GPU: Aya Expanse 32B runs at Q5 (23 GB); Qwen 2.5 32B runs at Q5 (23 GB).
Benchmark scores
Reported benchmarks for Aya Expanse 32B: Dolly (vs Mixtral 8x22B) 89.9.
Reported benchmarks for Qwen 2.5 32B: MMLU 83.3, HumanEval 90.2, MATH 83.1.
Bottom line: which should you pick?
- Pick Qwen 2.5 32B if you need a permissive (Apache 2.0) license for commercial deployment.
- Pick Qwen 2.5 32B for long-context work (up to 128k tokens).
- Pick Aya Expanse 32B if your workload is multilingual.
Which GPU should you buy to run Aya Expanse 32B?
To run Aya Expanse 32B locally at Q4, you need ~19 GB of VRAM. The best value for this is a RTX 4090 (24 GB VRAM).
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Frequently asked questions
What is the difference between Aya Expanse 32B and Qwen 2.5 32B?
The headline differences: both are 32B models; their context windows differ (8k vs 128k tokens); they ship under different licenses (CC-BY-NC 4.0 vs Apache 2.0). Below we break down VRAM by quantization, benchmark scores, and a use-case verdict so you can pick the right one.
Can Aya Expanse 32B and Qwen 2.5 32B run on a 24 GB GPU?
At a Q4 quantization, Aya Expanse 32B needs about 19 GB of VRAM and fits comfortably on a 24 GB GPU; Qwen 2.5 32B needs about 19 GB and fits comfortably on a 24 GB GPU. Both have the same Q4 footprint.
Which license is safer for commercial use, Aya Expanse 32B or Qwen 2.5 32B?
Qwen 2.5 32B ships under Apache 2.0, a permissive license with no usage restrictions, whereas the other is under CC-BY-NC 4.0 — check its terms before commercial deployment.
Which has the longer context window, Aya Expanse 32B or Qwen 2.5 32B?
Qwen 2.5 32B has the larger context window (128k vs 8k tokens), so it handles longer documents and codebases in a single prompt.