LongCat-2.5 vs Mistral Large 3 (675B Instruct 2512)
LongCat-2.5 leads the LLM Stats Score 49.7 to 8.3. LongCat-2.5 is 1.4x cheaper per token.
Meituan · Mistral AI · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 49.7 to 8.3, ranking #22 overall.
On price, LongCat-2.5 is roughly 1.4x 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 49.7 and ranks #22 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 1.4x 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 Mistral Large 3 (675B Instruct 2512)
- 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 · 5 for Mistral Large 3 (675B Instruct 2512)
LongCat-2.5 and Mistral Large 3 (675B Instruct 2512)don'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 1.7x cheaper than Mistral Large 3 (675B Instruct 2512) ($0.50/1M tokens).
For output processing, LongCat-2.5 ($1.20/1M tokens) is 1.3x cheaper than Mistral Large 3 (675B Instruct 2512) ($1.50/1M tokens).
In conclusion, Mistral Large 3 (675B Instruct 2512) 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 925.0B more parameters than Mistral Large 3 (675B Instruct 2512), making it 137.0% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 input tokens compared to Mistral Large 3 (675B Instruct 2512)'s 262,100 tokens. Mistral Large 3 (675B Instruct 2512) can generate longer responses up to 262,100 tokens, while LongCat-2.5 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both LongCat-2.5 and Mistral Large 3 (675B Instruct 2512) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
LongCat-2.5
Mistral Large 3 (675B Instruct 2512)
Release Timeline
When each model was launched
LongCat-2.5 was released on 2026-11-01, while Mistral Large 3 (675B Instruct 2512) was released on 2025-12-04.
LongCat-2.5 is 11 months newer than Mistral Large 3 (675B Instruct 2512).
Nov 1, 2026
1 weeks ago
11mo newerDec 4, 2025
11 months 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. Mistral Large 3 (675B Instruct 2512) is available from Mistral AI.
LongCat-2.5
Mistral Large 3 (675B Instruct 2512)
Outputs Comparison
Judge for yourself.
Run your own prompts against LongCat-2.5 and Mistral Large 3 (675B Instruct 2512) side-by-side, then vote on the output you prefer.
FAQ
Common questions about LongCat-2.5 vs Mistral Large 3 (675B Instruct 2512).
Related comparisons
More LongCat-2.5 comparisons
More Mistral Large 3 (675B Instruct 2512) comparisons
- Mistral Large 3 (675B Instruct 2512) vs Claude Fable 5.2
- Mistral Large 3 (675B Instruct 2512) vs Claude Mythos 5.2
- Mistral Large 3 (675B Instruct 2512) vs GPT-6 Cyber
- Mistral Large 3 (675B Instruct 2512) vs Inkling 2 Small
- Mistral Large 3 (675B Instruct 2512) vs GPT-6 Rosalind
- Mistral Large 3 (675B Instruct 2512) vs Gemini 4 Carbon