Llama 3.2 11B Instruct vs LongCat-2.5
LongCat-2.5 leads the LLM Stats Score 50.0 to -1.8. Llama 3.2 11B Instruct is 10.5x cheaper per token.
Meta · Meituan · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 50.0 to -1.8, ranking #20 overall.
On price, Llama 3.2 11B Instruct is roughly 10.5x 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 Llama 3.2 11B Instruct
- cost matters — it's about 10.5x cheaper per token
- you need open weights you can self-host or fine-tune
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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Llama 3.2 11B Instruct · 23 for LongCat-2.5
Llama 3.2 11B Instruct 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
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 6.0x cheaper than LongCat-2.5 ($0.30/1M tokens).
For output processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 24.0x cheaper than LongCat-2.5 ($1.20/1M tokens).
In conclusion, LongCat-2.5 is more expensive than Llama 3.2 11B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-2.5 has 1589.4B more parameters than Llama 3.2 11B Instruct, making it 14994.3% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 input tokens compared to Llama 3.2 11B Instruct's 128,000 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while Llama 3.2 11B Instruct is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Llama 3.2 11B Instruct and LongCat-2.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 3.2 11B Instruct
LongCat-2.5
Release Timeline
When each model was launched
Llama 3.2 11B Instruct was released on 2024-09-25, while LongCat-2.5 was released on 2026-11-01.
LongCat-2.5 is 26 months newer than Llama 3.2 11B Instruct.
Sep 25, 2024
2.1 years ago
Nov 1, 2026
0 days ago
2.1yr newerKnowledge Cutoff
When training data ends
Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while LongCat-2.5's cutoff date is not specified.
We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without LongCat-2.5's cutoff date.
Dec 2023
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Provider Availability
Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks. LongCat-2.5 is available from Meituan.
Llama 3.2 11B Instruct
LongCat-2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.2 11B Instruct and LongCat-2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.2 11B Instruct vs LongCat-2.5.