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LongCat-2.5 vs Mistral Large 4

LongCat-2.5 and Mistral Large 4 are closely matched at 49.4 and 46.0 on the LLM Stats Score. LongCat-2.5 is 2.0x cheaper per token.

Meituan · Mistral AI · Updated for 2026

Which is better?

LongCat-2.5 and Mistral Large 4 are closely matched on the overall LLM Stats Score at 49.4 and 46.0.

The models split the 4 individual benchmarks reported for both models evenly.

On price, LongCat-2.5 is roughly 2.0x 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

  • cost matters — it's about 2.0x 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 4

  • 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 4
Mistral AI
Core performance indexes
LLM Stats Score
49.4
#24
46.0
#46
Reasoning
47.9
#27
44.5
#52
Coding
36.9
#29
34.8
#37
Agents
34.8
#27
33.1
#35
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
$0.30 / M
$0.70 / M
Output price
$1.20 / M
$2.10 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LongCat-2.5
Mistral Large 4
Vision
32.4#29
1.4#205
Tool use
29.3#25
30.3#15
Multimodal
34.8#14
1.9#177
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 20 for Mistral Large 4

4 shared

LongCat-2.5 outperforms in 2 benchmarks (BrowseComp, DeepSWE 1.1), while Mistral Large 4 is better at 2 benchmarks (SWE Atlas - Codebase QnA, Terminal-Bench 4.0).

Both models are evenly matched across the benchmarks.

Thu Nov 12 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

LongCat-2.5 costs less

For input processing, LongCat-2.5 ($0.30/1M tokens) is 2.3x cheaper than Mistral Large 4 ($0.70/1M tokens).

For output processing, LongCat-2.5 ($1.20/1M tokens) is 1.8x cheaper than Mistral Large 4 ($2.10/1M tokens).

In conclusion, Mistral Large 4 is more expensive than LongCat-2.5.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Nov 12 2026 • llm-stats.com
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Mistral AI
Mistral Large 4
Input tokens$0.70
Output tokens$2.10
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

550.0B diff

LongCat-2.5 has 550.0B more parameters than Mistral Large 4, making it 52.4% larger.

Meituan
LongCat-2.5
1.6Tparameters
Mistral AI
Mistral Large 4
1.1Tparameters
1600.0B
LongCat-2.5
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

LongCat-2.5 accepts 1,048,576 input tokens compared to Mistral Large 4's 1,000,000 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 4
Input1,000,000 tokens
Output- tokens
Thu Nov 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LongCat-2.5 and Mistral Large 4 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 4

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Mistral Large 4 was released on 2026-10-06.

LongCat-2.5 is 1 month newer than Mistral Large 4.

LongCat-2.5

Nov 1, 2026

1 weeks ago

3w newer
Mistral Large 4

Oct 6, 2026

1 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

Provider Availability

LongCat-2.5 is available from Meituan. Mistral Large 4 is available from Mistral AI.

LongCat-2.5

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.70/1MOutput Price:Output: $2.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-2.5 and Mistral Large 4 side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Mistral Large 4.

Which is better, LongCat-2.5 or Mistral Large 4?

LongCat-2.5 and Mistral Large 4 are closely matched on the LLM Stats Score at 49.4 and 46.0. LongCat-2.5 is made by Meituan and Mistral Large 4 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 4 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 4 scores B3 AI Security Benchmark: 97.1%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, BrowseComp: 84.5%.

Is LongCat-2.5 cheaper than Mistral Large 4?

LongCat-2.5 is 2.3x cheaper for input tokens. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan. Mistral Large 4 costs $0.70/M input and $2.10/M output via mistral.

What are the context window sizes for LongCat-2.5 and Mistral Large 4?

LongCat-2.5 supports 1.0M tokens and Mistral Large 4 supports 1.0M 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 4?

Key differences include LLM Stats Score (49.4 vs 46.0), context window (1.0M vs 1.0M), input pricing ($0.30 vs $0.70/M), licensing (Unknown vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Mistral Large 4?

LongCat-2.5 is developed by Meituan and Mistral Large 4 is developed by Mistral AI.

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