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Atria Dawn Preview vs Muse Spark 1.3

Atria Dawn Preview and Muse Spark 1.3 are closely matched at 52.3 and 54.3 on the LLM Stats Score.

Shanghai AI Laboratory · Meta · Updated for 2026

Which is better?

Atria Dawn Preview and Muse Spark 1.3 are closely matched on the overall LLM Stats Score at 52.3 and 54.3.

The models split the 4 individual benchmarks reported for both models evenly.

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

Choose Atria Dawn Preview

  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.3

  • you want predictable pricing at $0.10/M input and $0.20/M output

At a glance

The differences that matter most.

Atria Dawn Preview
Shanghai AI Laboratory
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
52.3
#10
54.3
#6
Reasoning
50.5
#12
51.8
#7
Coding
36.2
#22
41.8
#10
Agents
38.8
#10
40.1
#6
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Atria Dawn Preview
Muse Spark 1.3
Tool use
31.1#12
33.7#4
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Atria Dawn Preview · 11 for Muse Spark 1.3

4 shared

Atria Dawn Preview outperforms in 2 benchmarks (AutomationBench, DeepSearchQA), while Muse Spark 1.3 is better at 2 benchmarks (GDPval-AA, Terminal-Bench 2.1).

Both models are evenly matched across the benchmarks.

Tue Sep 15 2026 • llm-stats.com

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).

Shanghai AI Laboratory
Atria Dawn Preview
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas Atria Dawn Preview does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Atria Dawn Preview

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Atria Dawn Preview is licensed under MIT, 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.

Atria Dawn Preview

MIT

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Atria Dawn Preview was released on 2026-09-11, while Muse Spark 1.3 was released on 2026-09-02.

Atria Dawn Preview is 0 month newer than Muse Spark 1.3.

Atria Dawn Preview

Sep 11, 2026

4 days ago

1w newer
Muse Spark 1.3

Sep 2, 2026

1 weeks ago

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 Atria Dawn Preview and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Atria Dawn Preview
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Atria Dawn Preview vs Muse Spark 1.3.

Which is better, Atria Dawn Preview or Muse Spark 1.3?

Atria Dawn Preview and Muse Spark 1.3 are closely matched on the LLM Stats Score at 52.3 and 54.3. Atria Dawn Preview is made by Shanghai AI Laboratory 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 Atria Dawn Preview compare to Muse Spark 1.3 in benchmarks?

Atria Dawn Preview scores DeepSearchQA: 96.0%, BrowseComp: 92.5%, CyberGym: 86.5%, MLE-Bench Lite: 86.2%, WideSearch: 81.9%. 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 Atria Dawn Preview and Muse Spark 1.3?

Atria Dawn Preview 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 Atria Dawn Preview and Muse Spark 1.3?

Key differences include LLM Stats Score (52.3 vs 54.3), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Atria Dawn Preview and Muse Spark 1.3?

Atria Dawn Preview is developed by Shanghai AI Laboratory and Muse Spark 1.3 is developed by Meta.

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