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MiniStral 3 (14B Instruct 2512) vs o1

o1 leads the LLM Stats Score 20.6 to 9.8.

Mistral AI · OpenAI · Updated for 2026

Which is better?

o1 leads the overall LLM Stats Score 20.6 to 9.8, ranking #215 overall.

In the 1 individual benchmarks reported for both models, o1 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 o1

  • overall performance matters — it scores 20.6 and ranks #215 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
o1
OpenAI
Core performance indexes
LLM Stats Score
9.8
#289
20.6
#215
Reasoning
11.6
#272
21.0
#204
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$15.00 / M
Output price
— / M
$60.00 / M
Context window
—
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiniStral 3 (14B Instruct 2512)
o1
Writing
10.8#75
13.7#56
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for MiniStral 3 (14B Instruct 2512) · 19 for o1

1 shared

MiniStral 3 (14B Instruct 2512) outperforms in 0 benchmarks, while o1 is better at 1 benchmark (MATH).

o1 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 o1 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).

Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
OpenAI
o1
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 o1 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

o1

Text
Images
Audio
Video

License

Usage and distribution terms

MiniStral 3 (14B Instruct 2512) is licensed under Apache 2.0, while o1 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

o1

Proprietary

Closed source

Release Timeline

When each model was launched

MiniStral 3 (14B Instruct 2512) was released on 2025-12-04, while o1 was released on 2024-12-17.

MiniStral 3 (14B Instruct 2512) is 12 months newer than o1.

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

10 months ago

11mo newer
o1

Dec 17, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against MiniStral 3 (14B Instruct 2512) and o1 side-by-side, then vote on the output you prefer.

MiniStral 3 (14B Instruct 2512)
✓ Preferred
o1
Open in Playground

FAQ

Common questions about MiniStral 3 (14B Instruct 2512) vs o1.

Which is better, MiniStral 3 (14B Instruct 2512) or o1?

o1 leads the LLM Stats Score 20.6 to 9.8. MiniStral 3 (14B Instruct 2512) is made by Mistral AI and o1 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 o1 in benchmarks?

MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%. o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.

What are the context window sizes for MiniStral 3 (14B Instruct 2512) and o1?

MiniStral 3 (14B Instruct 2512) supports an unknown number of tokens and o1 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 o1?

Key differences include LLM Stats Score (9.8 vs 20.6), 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 o1?

MiniStral 3 (14B Instruct 2512) is developed by Mistral AI and o1 is developed by OpenAI.

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