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Ministral 3 (8B Instruct 2512) vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 44.9 to 7.4.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to 7.4, ranking #43 overall.

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

Choose Ministral 3 (8B Instruct 2512)

  • you are already invested in the Mistral AI ecosystem

Choose Muse Spark Open

  • overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Ministral 3 (8B Instruct 2512)
Mistral AI
Muse Spark Open
Meta
Core performance indexes
LLM Stats Score
7.4
#308
44.9
#43
Reasoning
9.0
#286
45.2
#39
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Individual benchmarks

4 reported for Ministral 3 (8B Instruct 2512) · 17 for Muse Spark Open

No common benchmarks found

Ministral 3 (8B Instruct 2512) and Muse Spark Opendon'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

Model Size

Parameter count comparison

808.0B diff

Muse Spark Open has 808.0B more parameters than Ministral 3 (8B Instruct 2512), making it 10100.0% larger.

Mistral AI
Ministral 3 (8B Instruct 2512)
8.0Bparameters
Meta
Muse Spark Open
816.0Bparameters
8.0B
Ministral 3 (8B Instruct 2512)
816.0B
Muse Spark Open

Context Window

Maximum input and output token capacity

Only Muse Spark Open specifies input context (1,048,576 tokens). Only Muse Spark Open specifies output context (1,048,576 tokens).

Mistral AI
Ministral 3 (8B Instruct 2512)
Input- tokens
Output- tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Ministral 3 (8B Instruct 2512) and Muse Spark Open support multimodal inputs.

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

Ministral 3 (8B Instruct 2512)

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (8B Instruct 2512) is licensed under Apache 2.0, while Muse Spark Open uses Muse Model License.

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

Ministral 3 (8B Instruct 2512)

Apache 2.0

Open weights

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

Ministral 3 (8B Instruct 2512) was released on 2025-12-04, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 11 months newer than Ministral 3 (8B Instruct 2512).

Ministral 3 (8B Instruct 2512)

Dec 4, 2025

10 months ago

Muse Spark Open

Oct 15, 2026

5 days ago

10mo 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?

Judge for yourself.

Run your own prompts against Ministral 3 (8B Instruct 2512) and Muse Spark Open side-by-side, then vote on the output you prefer.

Ministral 3 (8B Instruct 2512)
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about Ministral 3 (8B Instruct 2512) vs Muse Spark Open.

Which is better, Ministral 3 (8B Instruct 2512) or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 44.9 to 7.4. Ministral 3 (8B Instruct 2512) is made by Mistral AI and Muse Spark Open 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 (8B Instruct 2512) compare to Muse Spark Open in benchmarks?

Ministral 3 (8B Instruct 2512) scores MATH: 87.6%, Wild Bench: 66.8%, Arena Hard: 50.9%, MM-MT-Bench: 8.1%. Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%.

What are the context window sizes for Ministral 3 (8B Instruct 2512) and Muse Spark Open?

Ministral 3 (8B Instruct 2512) supports an unknown number of tokens and Muse Spark Open 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 (8B Instruct 2512) and Muse Spark Open?

Key differences include LLM Stats Score (7.4 vs 44.9), licensing (Apache 2.0 vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (8B Instruct 2512) and Muse Spark Open?

Ministral 3 (8B Instruct 2512) is developed by Mistral AI and Muse Spark Open is developed by Meta.

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