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LongCat-2.5 vs Mistral Small 3.1 24B Instruct

LongCat-2.5 leads the LLM Stats Score 50.0 to 3.7.

Meituan · Mistral AI · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 3.7, 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 and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

Choose Mistral Small 3.1 24B Instruct

  • 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 3.1 24B Instruct
Mistral AI
Core performance indexes
LLM Stats Score
50.0
#20
3.7
#343
Reasoning
48.3
#21
3.7
#336
Coding
38.6
#27
9.6
#201
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 3.1 24B Instruct
Math
37.2#37
7.8#283
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 9 for Mistral Small 3.1 24B Instruct

No common benchmarks found

LongCat-2.5 and Mistral Small 3.1 24B Instructdon'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

1576.0B diff

LongCat-2.5 has 1576.0B more parameters than Mistral Small 3.1 24B Instruct, making it 6566.7% larger.

Meituan
LongCat-2.5
1.6Tparameters
Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
1600.0B
LongCat-2.5
24.0B
Mistral Small 3.1 24B Instruct

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 3.1 24B Instruct
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 3.1 24B Instruct 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 3.1 24B Instruct

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.

LongCat-2.5 is 20 months newer than Mistral Small 3.1 24B Instruct.

LongCat-2.5

Nov 1, 2026

0 days ago

1.6yr newer
Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.6 years ago

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 LongCat-2.5 and Mistral Small 3.1 24B Instruct side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Mistral Small 3.1 24B Instruct
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Mistral Small 3.1 24B Instruct.

Which is better, LongCat-2.5 or Mistral Small 3.1 24B Instruct?

LongCat-2.5 leads the LLM Stats Score 50.0 to 3.7. LongCat-2.5 is made by Meituan and Mistral Small 3.1 24B Instruct 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 3.1 24B Instruct 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 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%.

What are the context window sizes for LongCat-2.5 and Mistral Small 3.1 24B Instruct?

LongCat-2.5 supports 1.0M tokens and Mistral Small 3.1 24B Instruct 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 3.1 24B Instruct?

Key differences include LLM Stats Score (50.0 vs 3.7), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Mistral Small 3.1 24B Instruct?

LongCat-2.5 is developed by Meituan and Mistral Small 3.1 24B Instruct is developed by Mistral AI.

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