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EXAONE 4.5 33B vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 45.3 to 25.5.

LG AI Research · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 45.3 to 25.5, 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 EXAONE 4.5 33B

  • you are already invested in the LG AI Research ecosystem

Choose Muse Spark Open

  • overall performance matters — it scores 45.3 and ranks #42 on LLM Stats
  • your work emphasizes reasoning — 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
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

EXAONE 4.5 33B
LG AI Research
Muse Spark Open
Meta
Core performance indexes
LLM Stats Score
25.5
#177
45.3
#42
Reasoning
26.1
#172
45.7
#35
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

4 shared
Index
EXAONE 4.5 33B
Muse Spark Open
Math
28.3#101
33.3#58
Vision
13.3#114
31.3#33
Tool use
9.8#147
23.3#45
Multimodal
16.1#100
33.1#20
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 17 for Muse Spark Open

1 shared

EXAONE 4.5 33B outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).

Muse Spark Open significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

783.0B diff

Muse Spark Open has 783.0B more parameters than EXAONE 4.5 33B, making it 2372.7% larger.

LG AI Research
EXAONE 4.5 33B
33.0Bparameters
Meta
Muse Spark Open
816.0Bparameters
33.0B
EXAONE 4.5 33B
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).

LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both EXAONE 4.5 33B and Muse Spark Open 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 Open

Text
Images
Audio
Video

License

Usage and distribution terms

EXAONE 4.5 33B is licensed under a proprietary license, while Muse Spark Open uses Muse Model License.

License differences may affect how you can use these models in commercial or open-source projects.

EXAONE 4.5 33B

Proprietary

Closed source

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 6 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

6 months ago

Muse Spark Open

Oct 15, 2026

4 days ago

6mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while Muse Spark Open'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 Open's cutoff date.

EXAONE 4.5 33B

Dec 2024

Muse Spark Open

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

Muse Spark Open leads the LLM Stats Score 45.3 to 25.5. EXAONE 4.5 33B is made by LG AI Research 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 EXAONE 4.5 33B compare to Muse Spark Open 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 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 EXAONE 4.5 33B and Muse Spark Open?

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

Key differences include LLM Stats Score (25.5 vs 45.3), licensing (Proprietary vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and Muse Spark Open?

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

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