Qwen2.5 32B Instruct benchmarks, pricing and specs
Qwen2.5 32B Instruct is an Alibaba Qwen model released on September 19, 2024 that takes text input and produces text. It is now listed as a legacy model. Its price is not published and accepts up to 128,000 tokens of context. It scores 46.1% on GPQA Diamond (Epoch AI, measured October 12, 2026).
- Context window
- 128K
- GPQA Diamond
- 46.1%
Data verified October 12, 2026 · Dataset 2026-10-12
Key facts
- Provider
- Alibaba Qwen
- Model family
- Qwen2.5
- Release date
- September 19, 2024
- Status
- Legacy
- Access
- open weights
- API model id
- Not reported
- Context window
- 128,000 tokens
- Max output
- 8,192 tokens
- Input
- text
- Output
- text
- Task families
- text
- Declared capabilities
- reasoning
Qwen2.5 32B Instruct pricing
Independent benchmark results
Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Alibaba Qwen's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.
| Benchmark | Score | Rank | Measured | Source |
|---|---|---|---|---|
| GPQA Diamond | 46.1% | Not ranked | October 12, 2026 | Epoch AI · 2026-10-12 |
Strengths, cautions and best uses
Strengths
- Qwen2.5 32B Instruct records open-weight access for text inputs and a published 128,000-token context window
Cautions
- This record is marked legacy; confirm current availability and migration requirements before adoption
Best for
- Historical private text deployments with a published output limit
Alternatives to Qwen2.5 32B Instruct
The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.
DeepSeek-R1
- 25.6 points higher on GPQA Diamond, 71.7 vs 46.1
- From DeepSeek
Gemini 2.5 Pro
- 39.2 points higher on GPQA Diamond, 85.3 vs 46.1
- 1.05M context window vs 128K
- From Google
GPT-4.1
- 20.8 points higher on GPQA Diamond, 66.9 vs 46.1
- 1.05M context window vs 128K
- From OpenAI
GPT-4.1 mini
- 19.7 points higher on GPQA Diamond, 65.8 vs 46.1
- 1.05M context window vs 128K
- From OpenAI
Qwen2.5 32B Instruct FAQ
What is the context window of Qwen2.5 32B Instruct?
Qwen2.5 32B Instruct accepts up to 128,000 tokens of context. It can return up to 8,192 tokens in one response. That ranks #40 of 45 current text models by context length.
How does Qwen2.5 32B Instruct score on independent benchmarks?
Qwen2.5 32B Instruct scores 46.1% on GPQA Diamond (Epoch AI, measured October 12, 2026). These are independent evaluations, not Alibaba Qwen's own launch figures.
Is Qwen2.5 32B Instruct open source or API only?
Qwen2.5 32B Instruct is released as open weights that you can run yourself.
What are the best alternatives to Qwen2.5 32B Instruct?
The closest current alternatives by price and measured performance are DeepSeek-R1 (25.6 points higher on GPQA Diamond, 71.7 vs 46.1), Gemini 2.5 Pro (39.2 points higher on GPQA Diamond, 85.3 vs 46.1), GPT-4.1 (20.8 points higher on GPQA Diamond, 66.9 vs 46.1) and GPT-4.1 mini (19.7 points higher on GPQA Diamond, 65.8 vs 46.1).
Sources
- Qwen2.5: A Party of Foundation Models · Qwen Team · official · verified August 6, 2026
- Epoch AI Benchmarking Hub data (benchmark_data.zip) · Epoch AI · independent · verified October 12, 2026 · CC-BY-4.0
Cite this page
Van Data Team. "Qwen2.5 32B Instruct Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-12. https://vandatateam.com/ai-model-benchmarks/qwen2-5-32b-instruct
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Production evaluation
Deciding whether Qwen2.5 32B Instruct fits your workload?
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