The AI arena is free today

Open Superagent

Muse Spark 1.3 vs SWE-2 Flash

Muse Spark 1.3 leads the LLM Stats Score 51.6 to 43.8.

Meta · Cognition · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 51.6 to 43.8, ranking #18 overall.

In the 3 individual benchmarks reported for both models, Muse Spark 1.3 wins 2; 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 Muse Spark 1.3

  • overall performance matters — it scores 51.6 and ranks #18 on LLM Stats
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

Choose SWE-2 Flash

  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Muse Spark 1.3
Meta
SWE-2 Flash
Cognition
Core performance indexes
LLM Stats Score
51.6
#18
43.8
#58
Reasoning
49.9
#16
42.6
#61
Coding
37.5
#24
33.0
#44
Agents
36.6
#22
30.1
#50
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$1.25 / M
— / M
Output price
$4.25 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Muse Spark 1.3
SWE-2 Flash
Tool use
30.0#18
23.0#58
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Muse Spark 1.3 · 7 for SWE-2 Flash

3 shared

Muse Spark 1.3 outperforms in 2 benchmarks (DeepSWE 1.1, SWE Atlas - Codebase QnA), while SWE-2 Flash is better at 1 benchmark (Terminal-Bench 2.1).

Muse Spark 1.3 shows notably better performance in the majority of benchmarks.

Thu Nov 12 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).

Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Cognition
SWE-2 Flash
Input- tokens
Output- tokens
Thu Nov 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas SWE-2 Flash does not.

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

Muse Spark 1.3

Text
Images
Audio
Video

SWE-2 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Muse Spark 1.3

Proprietary

Closed source

SWE-2 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark 1.3 was released on 2026-09-02, while SWE-2 Flash was released on 2026-11-04.

SWE-2 Flash is 2 months newer than Muse Spark 1.3.

Muse Spark 1.3

Sep 2, 2026

2 months ago

SWE-2 Flash

Nov 4, 2026

1 weeks ago

2mo 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 Muse Spark 1.3 and SWE-2 Flash side-by-side, then vote on the output you prefer.

Muse Spark 1.3
✓ Preferred
SWE-2 Flash
Open in Playground

FAQ

Common questions about Muse Spark 1.3 vs SWE-2 Flash.

Which is better, Muse Spark 1.3 or SWE-2 Flash?

Muse Spark 1.3 leads the LLM Stats Score 51.6 to 43.8. Muse Spark 1.3 is made by Meta and SWE-2 Flash is made by Cognition. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Spark 1.3 compare to SWE-2 Flash in benchmarks?

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%. SWE-2 Flash scores Terminal-Bench 2.1: 89.2%, DeepSWE 1.1: 60.1%, SWE Atlas - Codebase QnA: 50.0%, FrontierCode 1.1: 45.5%, ExploitBench: 34.8%.

What are the context window sizes for Muse Spark 1.3 and SWE-2 Flash?

Muse Spark 1.3 supports 1.0M tokens and SWE-2 Flash supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Spark 1.3 and SWE-2 Flash?

Key differences include LLM Stats Score (51.6 vs 43.8), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.3 and SWE-2 Flash?

Muse Spark 1.3 is developed by Meta and SWE-2 Flash is developed by Cognition.

Related comparisons