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K-EXAONE-236B-A23B vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to 25.5. LongCat-2.5 is 1.3x cheaper per token.

LG AI Research · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 25.5, ranking #20 overall.

On price, LongCat-2.5 is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

LongCat-2.5 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose K-EXAONE-236B-A23B

  • you want predictable pricing at $0.60/M input and $1.00/M output

Choose LongCat-2.5

  • overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • cost matters — it's about 1.3x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

K-EXAONE-236B-A23B
LG AI Research
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
25.5
#186
50.0
#20
Reasoning
26.6
#174
48.3
#21
Agents
3.3
#196
36.3
#23
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.60 / M
$0.30 / M
Output price
$1.00 / M
$1.20 / M
Context window
32,768
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
K-EXAONE-236B-A23B
LongCat-2.5
Math
28.0#107
37.2#37
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for K-EXAONE-236B-A23B · 23 for LongCat-2.5

No common benchmarks found

K-EXAONE-236B-A23B 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

Pricing Analysis

Price comparison per million tokens

LongCat-2.5 costs less

For input processing, K-EXAONE-236B-A23B ($0.60/1M tokens) is 2.0x more expensive than LongCat-2.5 ($0.30/1M tokens).

For output processing, K-EXAONE-236B-A23B ($1.00/1M tokens) is 1.2x cheaper than LongCat-2.5 ($1.20/1M tokens).

In conclusion, K-EXAONE-236B-A23B is more expensive than LongCat-2.5.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Nov 06 2026 • llm-stats.com
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerFriendliAI
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?

Model Size

Parameter count comparison

1364.0B diff

LongCat-2.5 has 1364.0B more parameters than K-EXAONE-236B-A23B, making it 578.0% larger.

LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
Meituan
LongCat-2.5
1.6Tparameters
236.0B
K-EXAONE-236B-A23B
1600.0B
LongCat-2.5

Context Window

Maximum input and output token capacity

LongCat-2.5 accepts 1,048,576 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LongCat-2.5 supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

K-EXAONE-236B-A23B

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

K-EXAONE-236B-A23B was released on 2025-12-31, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 10 months newer than K-EXAONE-236B-A23B.

K-EXAONE-236B-A23B

Dec 31, 2025

10 months ago

LongCat-2.5

Nov 1, 2026

4 days ago

10mo newer

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while LongCat-2.5's cutoff date is not specified.

We can confirm K-EXAONE-236B-A23B's training data extends to 2025-10-01, but cannot make a direct comparison without LongCat-2.5's cutoff date.

K-EXAONE-236B-A23B

Oct 2025

LongCat-2.5

—

Provider Availability

K-EXAONE-236B-A23B is available from FriendliAI. LongCat-2.5 is available from Meituan.

K-EXAONE-236B-A23B

friendli logo
FriendliAI
Input Price:Input: $0.60/1MOutput Price:Output: $1.00/1M

LongCat-2.5

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against K-EXAONE-236B-A23B and LongCat-2.5 side-by-side, then vote on the output you prefer.

K-EXAONE-236B-A23B
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about K-EXAONE-236B-A23B vs LongCat-2.5.

Which is better, K-EXAONE-236B-A23B or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to 25.5. K-EXAONE-236B-A23B 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 K-EXAONE-236B-A23B compare to LongCat-2.5 in benchmarks?

K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

Is K-EXAONE-236B-A23B cheaper than LongCat-2.5?

LongCat-2.5 is 2.0x cheaper for input tokens. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for K-EXAONE-236B-A23B and LongCat-2.5?

K-EXAONE-236B-A23B supports 33K 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 K-EXAONE-236B-A23B and LongCat-2.5?

Key differences include LLM Stats Score (25.5 vs 50.0), context window (33K vs 1.0M), input pricing ($0.60 vs $0.30/M), multimodal support (no vs yes), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes K-EXAONE-236B-A23B and LongCat-2.5?

K-EXAONE-236B-A23B is developed by LG AI Research and LongCat-2.5 is developed by Meituan.

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