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EXAONE 4.5 33B vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 26.3.

LG AI Research · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 26.3, ranking #5 overall.

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

Choose EXAONE 4.5 33B

  • you are already invested in the LG AI Research ecosystem

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.3 and ranks #5 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

EXAONE 4.5 33B
LG AI Research
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
26.3
#141
55.3
#5
Reasoning
26.9
#134
52.8
#7
Cost, coverage & limits
Benchmark wins
—
—
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
EXAONE 4.5 33B
Muse Spark 1.3
Tool use
11.6#109
35.5#2
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 11 for Muse Spark 1.3

No common benchmarks found

EXAONE 4.5 33B 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).

LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both EXAONE 4.5 33B and Muse Spark 1.3 support multimodal inputs.

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

EXAONE 4.5 33B

Text
Images
Audio
Video

Muse Spark 1.3

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.

EXAONE 4.5 33B

Proprietary

Closed source

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 5 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

4 months ago

Muse Spark 1.3

Sep 2, 2026

3 days ago

4mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while Muse Spark 1.3's cutoff date is not specified.

We can confirm EXAONE 4.5 33B's training data extends to 2024-12-01, but cannot make a direct comparison without Muse Spark 1.3's cutoff date.

EXAONE 4.5 33B

Dec 2024

Muse Spark 1.3

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs Muse Spark 1.3.

Which is better, EXAONE 4.5 33B or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 26.3. EXAONE 4.5 33B is made by LG AI Research 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 EXAONE 4.5 33B compare to Muse Spark 1.3 in benchmarks?

EXAONE 4.5 33B scores AIME 2025: 92.9%, AIME 2026: 92.6%, IFEval: 89.6%, AI2D: 89.0%, MathVista-Mini: 85.0%. 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 EXAONE 4.5 33B and Muse Spark 1.3?

EXAONE 4.5 33B 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 EXAONE 4.5 33B and Muse Spark 1.3?

Key differences include LLM Stats Score (26.3 vs 55.3). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and Muse Spark 1.3?

EXAONE 4.5 33B is developed by LG AI Research and Muse Spark 1.3 is developed by Meta.

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