The AI arena is free today

Open Superagent

Mistral Large 3 (675B Instruct 2512 Eagle) vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 8.5.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to 8.5, ranking #5 overall.

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

Choose Mistral Large 3 (675B Instruct 2512 Eagle)

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

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.4 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Mistral Large 3 (675B Instruct 2512 Eagle)
Mistral AI
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
8.5
#267
55.4
#5
Reasoning
8.7
#259
53.0
#6
Coding
1.3
#224
41.6
#9
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
—
1,048,576

Individual benchmarks

5 reported for Mistral Large 3 (675B Instruct 2512 Eagle) · 11 for Muse Spark 1.3

No common benchmarks found

Mistral Large 3 (675B Instruct 2512 Eagle) 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
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 3 (675B Instruct 2512 Eagle) and Muse Spark 1.3 support multimodal inputs.

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

Mistral Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 3 (675B Instruct 2512 Eagle) 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.

Mistral Large 3 (675B Instruct 2512 Eagle)

Apache 2.0

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512 Eagle) 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 Mistral Large 3 (675B Instruct 2512 Eagle).

Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

9 months ago

Muse Spark 1.3

Sep 2, 2026

0 days 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 Mistral Large 3 (675B Instruct 2512 Eagle) and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Instruct 2512 Eagle)
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 Eagle) vs Muse Spark 1.3.

Which is better, Mistral Large 3 (675B Instruct 2512 Eagle) or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 8.5. Mistral Large 3 (675B Instruct 2512 Eagle) 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 Mistral Large 3 (675B Instruct 2512 Eagle) compare to Muse Spark 1.3 in benchmarks?

Mistral Large 3 (675B Instruct 2512 Eagle) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%. 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 Mistral Large 3 (675B Instruct 2512 Eagle) and Muse Spark 1.3?

Mistral Large 3 (675B Instruct 2512 Eagle) 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 Mistral Large 3 (675B Instruct 2512 Eagle) and Muse Spark 1.3?

Key differences include LLM Stats Score (8.5 vs 55.4), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 (675B Instruct 2512 Eagle) and Muse Spark 1.3?

Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI and Muse Spark 1.3 is developed by Meta.

Related comparisons