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Mistral Large 3 (675B Instruct 2512 NVFP4) vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 45.3 to 8.4.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 45.3 to 8.4, ranking #42 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.

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

Choose Mistral Large 3 (675B Instruct 2512 NVFP4)

  • you are already invested in the Mistral AI ecosystem

Choose Muse Spark Open

  • overall performance matters — it scores 45.3 and ranks #42 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 want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Mistral Large 3 (675B Instruct 2512 NVFP4)
Mistral AI
Muse Spark Open
Meta
Core performance indexes
LLM Stats Score
8.4
#300
45.3
#42
Reasoning
8.6
#293
45.7
#35
Coding
1.3
#256
33.5
#40
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 3 (675B Instruct 2512 NVFP4)
Muse Spark Open
Math
18.8#187
33.3#58
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Mistral Large 3 (675B Instruct 2512 NVFP4) · 17 for Muse Spark Open

1 shared

Mistral Large 3 (675B Instruct 2512 NVFP4) outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).

Muse Spark Open significantly outperforms across most benchmarks.

Sun Oct 25 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

141.0B diff

Muse Spark Open has 141.0B more parameters than Mistral Large 3 (675B Instruct 2512 NVFP4), making it 20.9% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
Meta
Muse Spark Open
816.0Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)
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
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Sun Oct 25 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 3 (675B Instruct 2512 NVFP4) and Muse Spark Open support multimodal inputs.

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

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 11 months newer than Mistral Large 3 (675B Instruct 2512 NVFP4).

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

10 months ago

Muse Spark Open

Oct 15, 2026

1 weeks 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 Mistral Large 3 (675B Instruct 2512 NVFP4) and Muse Spark Open side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Instruct 2512 NVFP4)
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 NVFP4) vs Muse Spark Open.

Which is better, Mistral Large 3 (675B Instruct 2512 NVFP4) or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 45.3 to 8.4. Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Large 3 (675B Instruct 2512 NVFP4) compare to Muse Spark Open in benchmarks?

Mistral Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%. Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%.

What are the context window sizes for Mistral Large 3 (675B Instruct 2512 NVFP4) and Muse Spark Open?

Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Mistral Large 3 (675B Instruct 2512 NVFP4) and Muse Spark Open?

Key differences include LLM Stats Score (8.4 vs 45.3), licensing (Apache 2.0 vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 (675B Instruct 2512 NVFP4) and Muse Spark Open?

Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI and Muse Spark Open is developed by Meta.

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