LongCat-2.5 vs Pixtral Large
LongCat-2.5 leads the LLM Stats Score 50.0 to 11.2. LongCat-2.5 is 5.7x cheaper per token.
Meituan · Mistral AI · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 50.0 to 11.2, ranking #20 overall.
On price, LongCat-2.5 is roughly 5.7x 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
- cost matters — it's about 5.7x cheaper per token
- 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 Pixtral Large
- 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 · 7 for Pixtral Large
LongCat-2.5 and Pixtral Largedon'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 6.7x cheaper than Pixtral Large ($2.00/1M tokens).
For output processing, LongCat-2.5 ($1.20/1M tokens) is 5.0x cheaper than Pixtral Large ($6.00/1M tokens).
In conclusion, Pixtral Large is more expensive than LongCat-2.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-2.5 has 1476.0B more parameters than Pixtral Large, making it 1190.3% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 input tokens compared to Pixtral Large's 128,000 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while Pixtral Large is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both LongCat-2.5 and Pixtral Large support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
LongCat-2.5
Pixtral Large
Release Timeline
When each model was launched
LongCat-2.5 was released on 2026-11-01, while Pixtral Large was released on 2024-11-18.
LongCat-2.5 is 24 months newer than Pixtral Large.
Nov 1, 2026
0 days ago
2.0yr newerNov 18, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
LongCat-2.5 is available from Meituan. Pixtral Large is available from Mistral AI.
LongCat-2.5
Pixtral Large
Outputs Comparison
Judge for yourself.
Run your own prompts against LongCat-2.5 and Pixtral Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about LongCat-2.5 vs Pixtral Large.