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Mistral Small 3.2 24B Instruct vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 44.9 to 8.1. Mistral Small 3.2 24B Instruct is 18.8x cheaper per token.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to 8.1, 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, Mistral Small 3.2 24B Instruct is roughly 18.8x 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 Mistral Small 3.2 24B Instruct

  • cost matters — it's about 18.8x cheaper per token

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 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.

Mistral Small 3.2 24B Instruct
Mistral AI
Muse Spark Open
Meta
Core performance indexes
LLM Stats Score
8.1
#302
44.9
#43
Reasoning
7.6
#303
45.2
#39
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.07 / M
$1.25 / M
Output price
$0.20 / M
$4.25 / M
Context window
128,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Mistral Small 3.2 24B Instruct
Muse Spark Open
Math
11.1#257
31.6#69
Vision
10.0#141
31.2#34
Multimodal
13.0#120
33.1#20
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Mistral Small 3.2 24B Instruct · 17 for Muse Spark Open

1 shared

Mistral Small 3.2 24B Instruct 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

Mistral Small 3.2 24B Instruct costs less

For input processing, Mistral Small 3.2 24B Instruct ($0.07/1M tokens) is 16.7x cheaper than Muse Spark Open ($1.25/1M tokens).

For output processing, Mistral Small 3.2 24B Instruct ($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 Mistral Small 3.2 24B Instruct.*

* 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
Mistral Small 3.2 24B Instruct
Input tokens$0.07
Output tokens$0.20
Best providerDeepinfra
Meta
Muse Spark Open
Input tokens$1.25
Output tokens$4.25
Best providerTogether
Notice missing or incorrect data?

Model Size

Parameter count comparison

792.4B diff

Muse Spark Open has 792.4B more parameters than Mistral Small 3.2 24B Instruct, making it 3357.6% larger.

Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
Meta
Muse Spark Open
816.0Bparameters
23.6B
Mistral Small 3.2 24B Instruct
816.0B
Muse Spark Open

Context Window

Maximum input and output token capacity

Muse Spark Open accepts 1,048,576 input tokens compared to Mistral Small 3.2 24B Instruct's 128,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Mistral Small 3.2 24B Instruct is limited to 128,000 tokens.

Mistral AI
Mistral Small 3.2 24B Instruct
Input128,000 tokens
Output128,000 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 Mistral Small 3.2 24B Instruct and Muse Spark Open support multimodal inputs.

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

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 3.2 24B Instruct 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.

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

Mistral Small 3.2 24B Instruct was released on 2025-06-20, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 16 months newer than Mistral Small 3.2 24B Instruct.

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.3 years ago

Muse Spark Open

Oct 15, 2026

4 days ago

1.3yr newer

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Muse Spark Open's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Muse Spark Open's cutoff date.

Mistral Small 3.2 24B Instruct

Oct 2023

Muse Spark Open

—

Provider Availability

Mistral Small 3.2 24B Instruct is available from DeepInfra. Muse Spark Open is available from Together.

Mistral Small 3.2 24B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput 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 Mistral Small 3.2 24B Instruct and Muse Spark Open side-by-side, then vote on the output you prefer.

Mistral Small 3.2 24B Instruct
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about Mistral Small 3.2 24B Instruct vs Muse Spark Open.

Which is better, Mistral Small 3.2 24B Instruct or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 44.9 to 8.1. Mistral Small 3.2 24B Instruct 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 Mistral Small 3.2 24B Instruct compare to Muse Spark Open in benchmarks?

Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%. 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 Mistral Small 3.2 24B Instruct cheaper than Muse Spark Open?

Mistral Small 3.2 24B Instruct is 16.7x cheaper for input tokens. Mistral Small 3.2 24B Instruct costs $0.07/M input and $0.20/M output via deepinfra. Muse Spark Open costs $1.25/M input and $4.25/M output via together.

What are the context window sizes for Mistral Small 3.2 24B Instruct and Muse Spark Open?

Mistral Small 3.2 24B Instruct supports 128K 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 Mistral Small 3.2 24B Instruct and Muse Spark Open?

Key differences include LLM Stats Score (8.1 vs 44.9), context window (128K vs 1.0M), input pricing ($0.07 vs $1.25/M), licensing (Apache 2.0 vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 3.2 24B Instruct and Muse Spark Open?

Mistral Small 3.2 24B Instruct is developed by Mistral AI and Muse Spark Open is developed by Meta.

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