Model Comparison
Ministral 3 (14B Reasoning 2512) vs Qwen3 32BWhich is better in 2026?
Ministral 3 (14B Reasoning 2512) shows notably better performance in the majority of benchmarks. Qwen3 32B is 1.3x cheaper per token.
Verdict: Ministral 3 (14B Reasoning 2512) vs Qwen3 32B — which is better?
Ministral 3 (14B Reasoning 2512) (by Mistral AI) 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.
Ministral 3 (14B Reasoning 2512) outperforms in 2 benchmarks (AIME 2024, AIME 2025), while Qwen3 32B is better at 1 benchmark (LiveCodeBench). Ministral 3 (14B Reasoning 2512) shows notably better performance in the majority of benchmarks.
On price, Qwen3 32B is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Ministral 3 (14B Reasoning 2512) also accepts a larger context window (262,100 input tokens), making it the stronger choice for long documents and large codebases.
Choose Ministral 3 (14B Reasoning 2512) if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- you process long inputs — it offers a 262,100 token context window
- you want the most recent training data — it shipped Dec 2025
Choose Qwen3 32B if…
- cost matters — it's about 1.3x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Ministral 3 (14B Reasoning 2512) outperforms in 2 benchmarks (AIME 2024, AIME 2025), while Qwen3 32B is better at 1 benchmark (LiveCodeBench).
Ministral 3 (14B Reasoning 2512) shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 2.0x more expensive than Qwen3 32B ($0.10/1M tokens).
For output processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 1.5x cheaper than Qwen3 32B ($0.30/1M tokens).
In conclusion, Ministral 3 (14B Reasoning 2512) is more expensive than Qwen3 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 32B has 18.8B more parameters than Ministral 3 (14B Reasoning 2512), making it 134.3% larger.
Context Window
Maximum input and output token capacity
Ministral 3 (14B Reasoning 2512) accepts 262,100 input tokens compared to Qwen3 32B's 128,000 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Qwen3 32B is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas Qwen3 32B does not.
Ministral 3 (14B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ministral 3 (14B Reasoning 2512)
Qwen3 32B
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Ministral 3 (14B Reasoning 2512) was released on 2025-12-04, while Qwen3 32B was released on 2025-04-29.
Ministral 3 (14B Reasoning 2512) is 7 months newer than Qwen3 32B.
Dec 4, 2025
7 months ago
7mo newerApr 29, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Ministral 3 (14B Reasoning 2512) is available from Mistral AI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.
Ministral 3 (14B Reasoning 2512)
Qwen3 32B
Outputs Comparison
Key Takeaways
Qwen3 32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Ministral 3 (14B Reasoning 2512) and Qwen3 32B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Ministral 3 (14B Reasoning 2512) vs Qwen3 32B.
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