Model Comparison
Ministral 3 (14B Reasoning 2512) vs Mistral Large 2Which is better in 2026?
Comparing Ministral 3 (14B Reasoning 2512) and Mistral Large 2 across benchmarks, pricing, and capabilities.
Verdict: Ministral 3 (14B Reasoning 2512) vs Mistral Large 2 — which is better?
Ministral 3 (14B Reasoning 2512) (by Mistral AI) and Mistral Large 2 (by Mistral AI) 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.
On price, Ministral 3 (14B Reasoning 2512) is roughly 15.0x 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…
- cost matters — it's about 15.0x cheaper per token
- you process long inputs — it offers a 262,100 token context window
- you want the most recent training data — it shipped Dec 2025
Choose Mistral Large 2 if…
- you want predictable pricing at $2.00/M input and $6.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
Ministral 3 (14B Reasoning 2512) and Mistral Large 2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 10.0x cheaper than Mistral Large 2 ($2.00/1M tokens).
For output processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 30.0x cheaper than Mistral Large 2 ($6.00/1M tokens).
In conclusion, Mistral Large 2 is more expensive than Ministral 3 (14B Reasoning 2512).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 2 has 109.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 778.6% larger.
Context Window
Maximum input and output token capacity
Ministral 3 (14B Reasoning 2512) accepts 262,100 input tokens compared to Mistral Large 2's 128,000 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Mistral Large 2 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas Mistral Large 2 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)
Mistral Large 2
License
Usage and distribution terms
Ministral 3 (14B Reasoning 2512) is licensed under Apache 2.0, while Mistral Large 2 uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Mistral Research License
Open weights
Release Timeline
When each model was launched
Ministral 3 (14B Reasoning 2512) was released on 2025-12-04, while Mistral Large 2 was released on 2024-07-24.
Ministral 3 (14B Reasoning 2512) is 17 months newer than Mistral Large 2.
Dec 4, 2025
6 months ago
1.4yr newerJul 24, 2024
1.9 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. Mistral Large 2 is available from Google, Mistral AI.
Ministral 3 (14B Reasoning 2512)
Mistral Large 2
Outputs Comparison
Key Takeaways
Mistral Large 2
View detailsMistral AI
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about Ministral 3 (14B Reasoning 2512) vs Mistral Large 2.