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Ministral 3 (14B Reasoning 2512) vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 44.9 to 20.3. Ministral 3 (14B Reasoning 2512) is 10.0x cheaper per token.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to 20.3, ranking #43 overall.

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

On price, Ministral 3 (14B Reasoning 2512) is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark Open also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Ministral 3 (14B Reasoning 2512)

  • cost matters — it's about 10.0x cheaper per token

Choose Muse Spark Open

  • overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Ministral 3 (14B Reasoning 2512)
Mistral AI
Muse Spark Open
Meta
Core performance indexes
LLM Stats Score
20.3
#217
44.9
#43
Reasoning
20.3
#209
45.2
#39
Coding
11.0
#179
33.0
#42
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.20 / M
$1.25 / M
Output price
$0.20 / M
$4.25 / M
Context window
262,100
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ministral 3 (14B Reasoning 2512)
Muse Spark Open
Math
21.0#161
31.6#69
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ministral 3 (14B Reasoning 2512) · 17 for Muse Spark Open

1 shared

Ministral 3 (14B Reasoning 2512) outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).

Muse Spark Open significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Ministral 3 (14B Reasoning 2512) costs less

For input processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 6.3x cheaper than Muse Spark Open ($1.25/1M tokens).

For output processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 21.3x cheaper than Muse Spark Open ($4.25/1M tokens).

In conclusion, Muse Spark Open is more expensive than Ministral 3 (14B Reasoning 2512).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
Meta
Muse Spark Open
Input tokens$1.25
Output tokens$4.25
Best providerTogether
Notice missing or incorrect data?

Model Size

Parameter count comparison

802.0B diff

Muse Spark Open has 802.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 5728.6% larger.

Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
Meta
Muse Spark Open
816.0Bparameters
14.0B
Ministral 3 (14B Reasoning 2512)
816.0B
Muse Spark Open

Context Window

Maximum input and output token capacity

Muse Spark Open accepts 1,048,576 input tokens compared to Ministral 3 (14B Reasoning 2512)'s 262,100 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Ministral 3 (14B Reasoning 2512) is limited to 262,100 tokens.

Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 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 (14B Reasoning 2512) and Muse Spark Open support multimodal inputs.

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

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (14B Reasoning 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 (14B Reasoning 2512)

Apache 2.0

Open weights

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

Ministral 3 (14B Reasoning 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 (14B Reasoning 2512).

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

10 months ago

Muse Spark Open

Oct 15, 2026

2 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

Provider Availability

Ministral 3 (14B Reasoning 2512) is available from Mistral AI. Muse Spark Open is available from Together.

Ministral 3 (14B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Muse Spark Open

together logo
Together
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

Common questions about Ministral 3 (14B Reasoning 2512) vs Muse Spark Open.

Which is better, Ministral 3 (14B Reasoning 2512) or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 44.9 to 20.3. Ministral 3 (14B Reasoning 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 (14B Reasoning 2512) compare to Muse Spark Open in benchmarks?

Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%. Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%.

Is Ministral 3 (14B Reasoning 2512) cheaper than Muse Spark Open?

Ministral 3 (14B Reasoning 2512) is 6.3x cheaper for input tokens. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via mistral. Muse Spark Open costs $1.25/M input and $4.25/M output via together.

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

Ministral 3 (14B Reasoning 2512) supports 262K 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 (14B Reasoning 2512) and Muse Spark Open?

Key differences include LLM Stats Score (20.3 vs 44.9), context window (262K vs 1.0M), input pricing ($0.20 vs $1.25/M), licensing (Apache 2.0 vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (14B Reasoning 2512) and Muse Spark Open?

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

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