LongCat-2.5 vs Mistral Small 3.2 24B Instruct
LongCat-2.5 leads the LLM Stats Score 50.0 to 7.9. Mistral Small 3.2 24B Instruct is 4.9x cheaper per token.
Meituan · Mistral AI · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 50.0 to 7.9, ranking #20 overall.
On price, Mistral Small 3.2 24B Instruct is roughly 4.9x 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 3.2 24B Instruct
- cost matters — it's about 4.9x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for LongCat-2.5 · 15 for Mistral Small 3.2 24B Instruct
LongCat-2.5 and Mistral Small 3.2 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
Pricing Analysis
Price comparison per million tokens
For input processing, LongCat-2.5 ($0.30/1M tokens) is 4.0x more expensive than Mistral Small 3.2 24B Instruct ($0.07/1M tokens).
For output processing, LongCat-2.5 ($1.20/1M tokens) is 6.0x more expensive than Mistral Small 3.2 24B Instruct ($0.20/1M tokens).
In conclusion, LongCat-2.5 is more expensive than Mistral Small 3.2 24B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-2.5 has 1576.4B more parameters than Mistral Small 3.2 24B Instruct, making it 6679.7% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 input tokens compared to Mistral Small 3.2 24B Instruct's 128,000 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while Mistral Small 3.2 24B Instruct is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both LongCat-2.5 and Mistral Small 3.2 24B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
LongCat-2.5
Mistral Small 3.2 24B Instruct
Release Timeline
When each model was launched
LongCat-2.5 was released on 2026-11-01, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.
LongCat-2.5 is 17 months newer than Mistral Small 3.2 24B Instruct.
Nov 1, 2026
0 days ago
1.4yr newerJun 20, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while LongCat-2.5's cutoff date is not specified.
We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without LongCat-2.5's cutoff date.
—
Oct 2023
Provider Availability
LongCat-2.5 is available from Meituan. Mistral Small 3.2 24B Instruct is available from DeepInfra.
LongCat-2.5
Mistral Small 3.2 24B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against LongCat-2.5 and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about LongCat-2.5 vs Mistral Small 3.2 24B Instruct.