Ministral 3 14B 2512 vs Mistral Large 3 2512 (Comparative Analysis)
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Comparative Analysis: Ministral 3 14B 2512 vs. Mistral Large 3 2512
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Overview
Mistral Large 3 2512 was released 1 day before Ministral 3 14B 2512.
 Ministral 3 14B 2512 | Mistral Large 3 2512 | |
|---|---|---|
Model Provider The organization behind this AI's development | Mistral | Mistral |
Input Context Window Maximum input tokens this model can process at once | 262.1K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | Not specified tokens |
Release Date When this model first became publicly available | December 2, 2025 8 months ago December 2nd, 2025 | December 1, 2025 8 months ago December 1st, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Ministral 3 14B 2512 | Mistral Large 3 2512 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text🖼️Image📁File |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Mistral | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
Ministral 3 14B 2512 is roughly 0.4x less expensive compared to Mistral Large 3 2512 for input tokens and roughly 0.1x less expensive for output tokens.
| Ministral 3 14B 2512 | Mistral Large 3 2512 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.20 per million tokens | $0.50 per million tokens |
Output Token Cost Cost per million output tokens | $0.20 per million tokens | $1.50 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.02 per million tokens | $0.05 per million tokens |
Benchmarks
Compare relevant benchmarks between Ministral 3 14B 2512 and Mistral Large 3 2512.
| Ministral 3 14B 2512 | Mistral Large 3 2512 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 11.2 (Artificial Analysis index; higher is better) | 15.9 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 14.4 (Artificial Analysis index; higher is better) | 20.1 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 2.2 (Artificial Analysis index; higher is better) | 5.5 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,103 Elo (#90 in Website (44.8% win rate)) | 1,184 Elo (#64 in Website (49.5% win rate)) |
At a Glance
Quick overview of what makes Ministral 3 14B 2512 and Mistral Large 3 2512 unique.
Ministral 3 14B 2512 by Mistral understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 262.1K token context window. Very affordable at $0.20/M input and $0.20/M output tokens. Released December 2nd, 2025.Mistral Large 3 2512 by Mistral understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 262.1K token context window. Reasonably priced at $0.50/M input and $1.50/M output tokens. Released December 1st, 2025.Explore More Comparisons
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Best models for coding and development
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