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LongCat-2.5 vs Mistral Small 3.1 24B Base

LongCat-2.5 leads the LLM Stats Score 50.0 to -0.2. Mistral Small 3.1 24B Base is 3.5x cheaper per token.

Meituan · Mistral AI · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to -0.2, ranking #20 overall.

On price, Mistral Small 3.1 24B Base is roughly 3.5x 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 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 process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2026

Choose Mistral Small 3.1 24B Base

  • cost matters — it's about 3.5x cheaper per token
  • 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 Base
Mistral AI
Core performance indexes
LLM Stats Score
50.0
#20
-0.2
#366
Reasoning
48.3
#21
0.0
#357
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.10 / M
Output price
$1.20 / M
$0.30 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LongCat-2.5
Mistral Small 3.1 24B Base
Math
37.2#37
4.6#302
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 5 for Mistral Small 3.1 24B Base

No common benchmarks found

LongCat-2.5 and Mistral Small 3.1 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

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, LongCat-2.5 ($0.30/1M tokens) is 3.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, LongCat-2.5 ($1.20/1M tokens) is 4.0x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, LongCat-2.5 is more expensive than Mistral Small 3.1 24B Base.*

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

Lowest available price from all providers
Fri Nov 06 2026 • llm-stats.com
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

1576.0B diff

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

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

Context Window

Maximum input and output token capacity

LongCat-2.5 accepts 1,048,576 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while Mistral Small 3.1 24B Base is limited to 128,000 tokens.

Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LongCat-2.5 and Mistral Small 3.1 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 3.1 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 3.1 24B Base was released on 2025-03-17.

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

LongCat-2.5

Nov 1, 2026

4 days ago

1.6yr newer
Mistral Small 3.1 24B Base

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

Provider Availability

LongCat-2.5 is available from Meituan. Mistral Small 3.1 24B Base is available from Mistral AI.

LongCat-2.5

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-2.5 and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.

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

FAQ

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

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

LongCat-2.5 leads the LLM Stats Score 50.0 to -0.2. LongCat-2.5 is made by Meituan and Mistral Small 3.1 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 3.1 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 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

Is LongCat-2.5 cheaper than Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base is 3.0x cheaper for input tokens. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral.

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

LongCat-2.5 supports 1.0M tokens and Mistral Small 3.1 24B Base supports 128K 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 Base?

Key differences include LLM Stats Score (50.0 vs -0.2), context window (1.0M vs 128K), input pricing ($0.30 vs $0.10/M), 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 Base?

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

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