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LongCat-Flash-Chat vs Magistral Small 2506

LongCat-Flash-Chat and Magistral Small 2506 are closely matched at 19.8 and 10.7 on the LLM Stats Score.

Meituan · Mistral AI · Updated for 2026

Which is better?

LongCat-Flash-Chat and Magistral Small 2506 are closely matched on the overall LLM Stats Score at 19.8 and 10.7.

In the 3 individual benchmarks reported for both models, Magistral Small 2506 wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose LongCat-Flash-Chat

  • you want the most recent training data — it shipped Aug 2025

Choose Magistral Small 2506

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

At a glance

The differences that matter most.

LongCat-Flash-Chat
Meituan
Magistral Small 2506
Mistral AI
Core performance indexes
LLM Stats Score
19.8
#214
10.7
#277
Reasoning
19.7
#210
10.9
#275
Coding
12.3
#161
5.2
#215
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LongCat-Flash-Chat
Magistral Small 2506
Math
18.9#180
8.5#265
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for LongCat-Flash-Chat · 4 for Magistral Small 2506

3 shared

LongCat-Flash-Chat outperforms in 1 benchmarks (GPQA), while Magistral Small 2506 is better at 2 benchmarks (AIME 2025, LiveCodeBench).

Magistral Small 2506 shows notably better performance in the majority of benchmarks.

Wed Oct 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

536.0B diff

LongCat-Flash-Chat has 536.0B more parameters than Magistral Small 2506, making it 2233.3% larger.

Meituan
LongCat-Flash-Chat
560.0Bparameters
Mistral AI
Magistral Small 2506
24.0Bparameters
560.0B
LongCat-Flash-Chat
24.0B
Magistral Small 2506

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Chat specifies input context (128,000 tokens). Only LongCat-Flash-Chat specifies output context (128,000 tokens).

Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Wed Oct 14 2026 • llm-stats.com

License

Usage and distribution terms

LongCat-Flash-Chat is licensed under MIT, while Magistral Small 2506 uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

LongCat-Flash-Chat

MIT

Open weights

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Chat was released on 2025-08-29, while Magistral Small 2506 was released on 2025-06-10.

LongCat-Flash-Chat is 3 months newer than Magistral Small 2506.

LongCat-Flash-Chat

Aug 29, 2025

1.1 years ago

2mo newer
Magistral Small 2506

Jun 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while LongCat-Flash-Chat's cutoff date is not specified.

We can confirm Magistral Small 2506's training data extends to 2025-06-01, but cannot make a direct comparison without LongCat-Flash-Chat's cutoff date.

LongCat-Flash-Chat

—

Magistral Small 2506

Jun 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-Flash-Chat and Magistral Small 2506 side-by-side, then vote on the output you prefer.

LongCat-Flash-Chat
✓ Preferred
Magistral Small 2506
Open in Playground

FAQ

Common questions about LongCat-Flash-Chat vs Magistral Small 2506.

Which is better, LongCat-Flash-Chat or Magistral Small 2506?

LongCat-Flash-Chat and Magistral Small 2506 are closely matched on the LLM Stats Score at 19.8 and 10.7. LongCat-Flash-Chat is made by Meituan and Magistral Small 2506 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-Flash-Chat compare to Magistral Small 2506 in benchmarks?

LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%. Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.

What are the context window sizes for LongCat-Flash-Chat and Magistral Small 2506?

LongCat-Flash-Chat supports 128K tokens and Magistral Small 2506 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-Flash-Chat and Magistral Small 2506?

Key differences include LLM Stats Score (19.8 vs 10.7), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-Flash-Chat and Magistral Small 2506?

LongCat-Flash-Chat is developed by Meituan and Magistral Small 2506 is developed by Mistral AI.

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