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EXAONE 4.5 33B vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 49.7 to 25.2.

LG AI Research · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 49.7 to 25.2, ranking #22 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 LongCat-2.5

  • overall performance matters — it scores 49.7 and ranks #22 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

EXAONE 4.5 33B
LG AI Research
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
25.2
#192
49.7
#22
Reasoning
25.7
#185
48.0
#23
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
EXAONE 4.5 33B
LongCat-2.5
Math
28.3#106
37.1#38
Vision
13.3#122
32.4#29
Tool use
9.8#159
29.9#18
Multimodal
16.0#106
34.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 23 for LongCat-2.5

No common benchmarks found

EXAONE 4.5 33B and LongCat-2.5don'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

Model Size

Parameter count comparison

1567.0B diff

LongCat-2.5 has 1567.0B more parameters than EXAONE 4.5 33B, making it 4748.5% larger.

LG AI Research
EXAONE 4.5 33B
33.0Bparameters
Meituan
LongCat-2.5
1.6Tparameters
33.0B
EXAONE 4.5 33B
1600.0B
LongCat-2.5

Context Window

Maximum input and output token capacity

Only LongCat-2.5 specifies input context (1,048,576 tokens). Only LongCat-2.5 specifies output context (131,072 tokens).

LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Wed Nov 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both EXAONE 4.5 33B and LongCat-2.5 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

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 7 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

7 months ago

LongCat-2.5

Nov 1, 2026

1 weeks ago

6mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while LongCat-2.5'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 LongCat-2.5's cutoff date.

EXAONE 4.5 33B

Dec 2024

LongCat-2.5

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and LongCat-2.5 side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs LongCat-2.5.

Which is better, EXAONE 4.5 33B or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 49.7 to 25.2. EXAONE 4.5 33B is made by LG AI Research and LongCat-2.5 is made by Meituan. 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 LongCat-2.5 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%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

What are the context window sizes for EXAONE 4.5 33B and LongCat-2.5?

EXAONE 4.5 33B supports an unknown number of tokens and LongCat-2.5 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 LongCat-2.5?

Key differences include LLM Stats Score (25.2 vs 49.7), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and LongCat-2.5?

EXAONE 4.5 33B is developed by LG AI Research and LongCat-2.5 is developed by Meituan.

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