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Codestral-22B vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to -0.4.

Mistral AI · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to -0.4, ranking #20 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Codestral-22B

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

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

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
-0.4
#367
50.0
#20
Reasoning
-0.6
#360
48.3
#21
Coding
2.4
#261
38.6
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
1,048,576

Individual benchmarks

7 reported for Codestral-22B · 23 for LongCat-2.5

No common benchmarks found

Codestral-22B and LongCat-2.5don'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

1577.8B diff

LongCat-2.5 has 1577.8B more parameters than Codestral-22B, making it 7107.2% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Meituan
LongCat-2.5
1.6Tparameters
22.2B
Codestral-22B
1600.0B
LongCat-2.5

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).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LongCat-2.5 supports multimodal inputs, whereas Codestral-22B does not.

LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 30 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.4 years ago

LongCat-2.5

Nov 1, 2026

1 days ago

2.4yr newer

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 Codestral-22B and LongCat-2.5 side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about Codestral-22B vs LongCat-2.5.

Which is better, Codestral-22B or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to -0.4. Codestral-22B is made by Mistral AI and LongCat-2.5 is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to LongCat-2.5 in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

What are the context window sizes for Codestral-22B and LongCat-2.5?

Codestral-22B supports an unknown number of tokens and LongCat-2.5 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 Codestral-22B and LongCat-2.5?

Key differences include LLM Stats Score (-0.4 vs 50.0), multimodal support (no vs yes), licensing (MNPL-0.1 vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and LongCat-2.5?

Codestral-22B is developed by Mistral AI and LongCat-2.5 is developed by Meituan.

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