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ERNIE 5.0 vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to 33.0.

Baidu · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 33.0, ranking #20 overall.

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

Choose ERNIE 5.0

  • you are already invested in the Baidu ecosystem

Choose LongCat-2.5

  • overall performance matters — it scores 50.0 and ranks #20 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.

Core performance indexes
33.0
#128
50.0
#20
32.6
#125
48.3
#21
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

1 shared
Index
ERNIE 5.0
LongCat-2.5
31.2#79
37.2#37
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for ERNIE 5.0 · 23 for LongCat-2.5

No common benchmarks found

ERNIE 5.0 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

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).

Baidu
ERNIE 5.0
Input- tokens
Output- tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both ERNIE 5.0 and LongCat-2.5 support multimodal inputs.

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

ERNIE 5.0

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

ERNIE 5.0 was released on 2026-01-22, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 9 months newer than ERNIE 5.0.

ERNIE 5.0

Jan 22, 2026

9 months ago

LongCat-2.5

Nov 1, 2026

-1 days ago

9mo 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 ERNIE 5.0 and LongCat-2.5 side-by-side, then vote on the output you prefer.

ERNIE 5.0
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about ERNIE 5.0 vs LongCat-2.5.

Which is better, ERNIE 5.0 or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to 33.0. ERNIE 5.0 is made by Baidu 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 ERNIE 5.0 compare to LongCat-2.5 in benchmarks?

ERNIE 5.0 scores AIME 2025: 87.0%, MMLU-Pro: 87.0%, GPQA: 85.0%, SimpleQA: 75.0%, Humanity's Last Exam: 39.0%. 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 ERNIE 5.0 and LongCat-2.5?

ERNIE 5.0 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 ERNIE 5.0 and LongCat-2.5?

Key differences include LLM Stats Score (33.0 vs 50.0), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes ERNIE 5.0 and LongCat-2.5?

ERNIE 5.0 is developed by Baidu and LongCat-2.5 is developed by Meituan.