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LongCat-2.5 vs Mistral Large 3 (675B Instruct 2512 Eagle)

LongCat-2.5 leads the LLM Stats Score 50.0 to 8.1.

Meituan · Mistral AI · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 8.1, ranking #20 overall.

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 and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

Choose Mistral Large 3 (675B Instruct 2512 Eagle)

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

LongCat-2.5
Meituan
Mistral Large 3 (675B Instruct 2512 Eagle)
Mistral AI
Core performance indexes
LLM Stats Score
50.0
#20
8.1
#317
Reasoning
48.3
#21
8.3
#309
Coding
38.6
#27
1.1
#269
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LongCat-2.5
Mistral Large 3 (675B Instruct 2512 Eagle)
Math
37.2#37
18.7#196
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 5 for Mistral Large 3 (675B Instruct 2512 Eagle)

No common benchmarks found

LongCat-2.5 and Mistral Large 3 (675B Instruct 2512 Eagle)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

Model Size

Parameter count comparison

925.0B diff

LongCat-2.5 has 925.0B more parameters than Mistral Large 3 (675B Instruct 2512 Eagle), making it 137.0% larger.

Meituan
LongCat-2.5
1.6Tparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
675.0Bparameters
1600.0B
LongCat-2.5
675.0B
Mistral Large 3 (675B Instruct 2512 Eagle)

Context Window

Maximum input and output token capacity

Only LongCat-2.5 specifies input context (1,048,576 tokens). Only LongCat-2.5 specifies output context (131,072 tokens).

Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Thu Nov 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LongCat-2.5 and Mistral Large 3 (675B Instruct 2512 Eagle) 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 Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04.

LongCat-2.5 is 11 months newer than Mistral Large 3 (675B Instruct 2512 Eagle).

LongCat-2.5

Nov 1, 2026

4 days ago

11mo newer
Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 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.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-2.5 and Mistral Large 3 (675B Instruct 2512 Eagle) side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Mistral Large 3 (675B Instruct 2512 Eagle)
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Mistral Large 3 (675B Instruct 2512 Eagle).

Which is better, LongCat-2.5 or Mistral Large 3 (675B Instruct 2512 Eagle)?

LongCat-2.5 leads the LLM Stats Score 50.0 to 8.1. LongCat-2.5 is made by Meituan and Mistral Large 3 (675B Instruct 2512 Eagle) 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 Large 3 (675B Instruct 2512 Eagle) 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 Large 3 (675B Instruct 2512 Eagle) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for LongCat-2.5 and Mistral Large 3 (675B Instruct 2512 Eagle)?

LongCat-2.5 supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512 Eagle) supports an unknown number of 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 Large 3 (675B Instruct 2512 Eagle)?

Key differences include LLM Stats Score (50.0 vs 8.1), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Mistral Large 3 (675B Instruct 2512 Eagle)?

LongCat-2.5 is developed by Meituan and Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI.

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