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LongCat-2.5 vs Mistral Small 3 24B Base

LongCat-2.5 leads the LLM Stats Score 50.0 to -0.8.

Meituan · Mistral AI · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to -0.8, ranking #20 overall.

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

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

Choose Mistral Small 3 24B Base

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

LongCat-2.5
Meituan
Mistral Small 3 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
50.0
#20
-0.8
#368
Reasoning
48.3
#21
-0.8
#362
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LongCat-2.5
Mistral Small 3 24B Base
Math
37.2#37
4.4#303
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 9 for Mistral Small 3 24B Base

No common benchmarks found

LongCat-2.5 and Mistral Small 3 24B Basedon'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

1576.4B diff

LongCat-2.5 has 1576.4B more parameters than Mistral Small 3 24B Base, making it 6679.7% larger.

Meituan
LongCat-2.5
1.6Tparameters
Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
1600.0B
LongCat-2.5
23.6B
Mistral Small 3 24B Base

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).

Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LongCat-2.5 and Mistral Small 3 24B Base support multimodal inputs.

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

LongCat-2.5

Text
Images
Audio
Video

Mistral Small 3 24B Base

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Mistral Small 3 24B Base was released on 2025-01-30.

LongCat-2.5 is 21 months newer than Mistral Small 3 24B Base.

LongCat-2.5

Nov 1, 2026

0 days ago

1.8yr newer
Mistral Small 3 24B Base

Jan 30, 2025

1.8 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while LongCat-2.5's cutoff date is not specified.

We can confirm Mistral Small 3 24B Base's training data extends to 2023-10-01, but cannot make a direct comparison without LongCat-2.5's cutoff date.

LongCat-2.5

—

Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-2.5 and Mistral Small 3 24B Base side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Mistral Small 3 24B Base
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Mistral Small 3 24B Base.

Which is better, LongCat-2.5 or Mistral Small 3 24B Base?

LongCat-2.5 leads the LLM Stats Score 50.0 to -0.8. LongCat-2.5 is made by Meituan and Mistral Small 3 24B Base is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LongCat-2.5 compare to Mistral Small 3 24B Base in benchmarks?

LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%. Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%.

What are the context window sizes for LongCat-2.5 and Mistral Small 3 24B Base?

LongCat-2.5 supports 1.0M tokens and Mistral Small 3 24B Base supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LongCat-2.5 and Mistral Small 3 24B Base?

Key differences include LLM Stats Score (50.0 vs -0.8), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Mistral Small 3 24B Base?

LongCat-2.5 is developed by Meituan and Mistral Small 3 24B Base is developed by Mistral AI.

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