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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.

Core performance indexes
50.0
#20
11.2
#296
48.3
#21
12.5
#279
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$2.00 / M
Output price
$1.20 / M
$6.00 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LongCat-2.5
Pixtral Large
32.5#29
10.6#145
34.8#15
12.8#123
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 7 for Pixtral Large

No common benchmarks found

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

LongCat-2.5 costs less

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

Lowest available price from all providers
Tue Nov 03 2026 • llm-stats.com
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Mistral AI
Pixtral Large
Input tokens$2.00
Output tokens$6.00
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

1476.0B diff

LongCat-2.5 has 1476.0B more parameters than Pixtral Large, making it 1190.3% larger.

Meituan
LongCat-2.5
1.6Tparameters
Mistral AI
Pixtral Large
124.0Bparameters
1600.0B
LongCat-2.5
124.0B
Pixtral Large

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.

Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Tue Nov 03 2026 • llm-stats.com

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

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

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.

LongCat-2.5

Nov 1, 2026

0 days ago

2.0yr newer
Pixtral Large

Nov 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.

No cutoff dates available

Provider Availability

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

LongCat-2.5

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

Pixtral Large

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* 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 Pixtral Large side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Pixtral Large.

Which is better, LongCat-2.5 or Pixtral Large?

LongCat-2.5 leads the LLM Stats Score 50.0 to 11.2. LongCat-2.5 is made by Meituan and Pixtral Large 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 Pixtral Large 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%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

Is LongCat-2.5 cheaper than Pixtral Large?

LongCat-2.5 is 6.7x cheaper for input tokens. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan. Pixtral Large costs $2.00/M input and $6.00/M output via mistral.

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

LongCat-2.5 supports 1.0M tokens and Pixtral Large supports 128K 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 Pixtral Large?

Key differences include LLM Stats Score (50.0 vs 11.2), context window (1.0M vs 128K), input pricing ($0.30 vs $2.00/M), licensing (Unknown vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Pixtral Large?

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