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MiniStral 3 (14B Instruct 2512) vs o3-mini

o3-mini leads the LLM Stats Score 21.2 to 9.8.

Mistral AI · OpenAI · Updated for 2026

Which is better?

o3-mini leads the overall LLM Stats Score 21.2 to 9.8, ranking #211 overall.

In the 1 individual benchmarks reported for both models, o3-mini wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose MiniStral 3 (14B Instruct 2512)

  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune

Choose o3-mini

  • overall performance matters — it scores 21.2 and ranks #211 on LLM Stats
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

MiniStral 3 (14B Instruct 2512)
Mistral AI
o3-mini
OpenAI
Core performance indexes
LLM Stats Score
9.8
#289
21.2
#211
Reasoning
11.6
#272
20.3
#210
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$1.10 / M
Output price
— / M
$4.40 / M
Context window
—
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiniStral 3 (14B Instruct 2512)
o3-mini
Writing
10.8#75
8.3#83
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for MiniStral 3 (14B Instruct 2512) · 25 for o3-mini

1 shared

MiniStral 3 (14B Instruct 2512) outperforms in 0 benchmarks, while o3-mini is better at 1 benchmark (MATH).

o3-mini significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only o3-mini specifies input context (200,000 tokens). Only o3-mini specifies output context (100,000 tokens).

Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiniStral 3 (14B Instruct 2512) supports multimodal inputs, whereas o3-mini does not.

MiniStral 3 (14B Instruct 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

o3-mini

Text
Images
Audio
Video

License

Usage and distribution terms

MiniStral 3 (14B Instruct 2512) is licensed under Apache 2.0, while o3-mini uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

MiniStral 3 (14B Instruct 2512)

Apache 2.0

Open weights

o3-mini

Proprietary

Closed source

Release Timeline

When each model was launched

MiniStral 3 (14B Instruct 2512) was released on 2025-12-04, while o3-mini was released on 2025-01-30.

MiniStral 3 (14B Instruct 2512) is 10 months newer than o3-mini.

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

10 months ago

10mo newer
o3-mini

Jan 30, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while MiniStral 3 (14B Instruct 2512)'s cutoff date is not specified.

We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without MiniStral 3 (14B Instruct 2512)'s cutoff date.

MiniStral 3 (14B Instruct 2512)

—

o3-mini

Sep 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against MiniStral 3 (14B Instruct 2512) and o3-mini side-by-side, then vote on the output you prefer.

MiniStral 3 (14B Instruct 2512)
✓ Preferred
o3-mini
Open in Playground

FAQ

Common questions about MiniStral 3 (14B Instruct 2512) vs o3-mini.

Which is better, MiniStral 3 (14B Instruct 2512) or o3-mini?

o3-mini leads the LLM Stats Score 21.2 to 9.8. MiniStral 3 (14B Instruct 2512) is made by Mistral AI and o3-mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiniStral 3 (14B Instruct 2512) compare to o3-mini in benchmarks?

MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%. o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%.

What are the context window sizes for MiniStral 3 (14B Instruct 2512) and o3-mini?

MiniStral 3 (14B Instruct 2512) supports an unknown number of tokens and o3-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniStral 3 (14B Instruct 2512) and o3-mini?

Key differences include LLM Stats Score (9.8 vs 21.2), multimodal support (yes vs no), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniStral 3 (14B Instruct 2512) and o3-mini?

MiniStral 3 (14B Instruct 2512) is developed by Mistral AI and o3-mini is developed by OpenAI.

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