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Ministral 3 (14B Base 2512) vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 54.3 to 3.6.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 54.3 to 3.6, ranking #6 overall.

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

Choose Ministral 3 (14B Base 2512)

  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.3

  • overall performance matters — it scores 54.3 and ranks #6 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Ministral 3 (14B Base 2512)
Mistral AI
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
3.6
#308
54.3
#6
Reasoning
3.5
#300
51.8
#8
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Individual benchmarks

6 reported for Ministral 3 (14B Base 2512) · 11 for Muse Spark 1.3

No common benchmarks found

Ministral 3 (14B Base 2512) and Muse Spark 1.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Muse Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).

Mistral AI
Ministral 3 (14B Base 2512)
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Ministral 3 (14B Base 2512) and Muse Spark 1.3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (14B Base 2512) is licensed under Apache 2.0, while Muse Spark 1.3 uses a proprietary license.

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

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Ministral 3 (14B Base 2512) was released on 2025-12-04, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 9 months newer than Ministral 3 (14B Base 2512).

Ministral 3 (14B Base 2512)

Dec 4, 2025

9 months ago

Muse Spark 1.3

Sep 2, 2026

2 weeks ago

9mo newer

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Ministral 3 (14B Base 2512) and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Ministral 3 (14B Base 2512)
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Ministral 3 (14B Base 2512) vs Muse Spark 1.3.

Which is better, Ministral 3 (14B Base 2512) or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 54.3 to 3.6. Ministral 3 (14B Base 2512) is made by Mistral AI and Muse Spark 1.3 is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ministral 3 (14B Base 2512) compare to Muse Spark 1.3 in benchmarks?

Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

What are the context window sizes for Ministral 3 (14B Base 2512) and Muse Spark 1.3?

Ministral 3 (14B Base 2512) supports an unknown number of tokens and Muse Spark 1.3 supports 1.0M 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 Base 2512) and Muse Spark 1.3?

Key differences include LLM Stats Score (3.6 vs 54.3), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (14B Base 2512) and Muse Spark 1.3?

Ministral 3 (14B Base 2512) is developed by Mistral AI and Muse Spark 1.3 is developed by Meta.

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