Model Comparison

LongCat-Flash-Chat vs Qwen2.5 72B Instruct

LongCat-Flash-Chat significantly outperforms across most benchmarks. Qwen2.5 72B Instruct is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

LongCat-Flash-Chat outperforms in 4 benchmarks (GPQA, HumanEval, IFEval, MMLU-Pro), while Qwen2.5 72B Instruct is better at 1 benchmark (LiveCodeBench).

LongCat-Flash-Chat significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 72B Instruct costs less

For input processing, LongCat-Flash-Chat ($0.30/1M tokens) is 1.2x cheaper than Qwen2.5 72B Instruct ($0.35/1M tokens).

For output processing, LongCat-Flash-Chat ($1.20/1M tokens) is 3.0x more expensive than Qwen2.5 72B Instruct ($0.40/1M tokens).

In conclusion, LongCat-Flash-Chat is more expensive than Qwen2.5 72B Instruct.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Meituan
LongCat-Flash-Chat
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

487.3B diff

LongCat-Flash-Chat has 487.3B more parameters than Qwen2.5 72B Instruct, making it 670.3% larger.

Meituan
LongCat-Flash-Chat
560.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
560.0B
LongCat-Flash-Chat
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 72B Instruct accepts 131,072 input tokens compared to LongCat-Flash-Chat's 128,000 tokens. LongCat-Flash-Chat can generate longer responses up to 128,000 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.

Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

LongCat-Flash-Chat is licensed under MIT, while Qwen2.5 72B Instruct uses Qwen.

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

LongCat-Flash-Chat

MIT

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Chat was released on 2025-08-29, while Qwen2.5 72B Instruct was released on 2024-09-19.

LongCat-Flash-Chat is 11 months newer than Qwen2.5 72B Instruct.

LongCat-Flash-Chat

Aug 29, 2025

7 months ago

11mo newer
Qwen2.5 72B Instruct

Sep 19, 2024

1.6 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-Flash-Chat is available from Meituan. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.

LongCat-Flash-Chat

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

Qwen2.5 72B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Meituan
Less expensive input tokens
Higher GPQA score (73.2% vs 49.0%)
Higher HumanEval score (88.4% vs 86.6%)
Higher IFEval score (89.6% vs 84.1%)
Higher MMLU-Pro score (82.7% vs 71.1%)
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Less expensive output tokens
Higher LiveCodeBench score (55.5% vs 48.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Meituan
LongCat-Flash-Chat
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct

FAQ

Common questions about LongCat-Flash-Chat vs Qwen2.5 72B Instruct

LongCat-Flash-Chat significantly outperforms across most benchmarks. LongCat-Flash-Chat is made by Meituan and Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.
LongCat-Flash-Chat is 1.2x cheaper for input tokens. LongCat-Flash-Chat costs $0.30/M input and $1.20/M output via meituan. Qwen2.5 72B Instruct costs $0.35/M input and $0.40/M output via deepinfra.
LongCat-Flash-Chat supports 128K tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 131K), input pricing ($0.30 vs $0.35/M), licensing (MIT vs Qwen). See the full comparison above for benchmark-by-benchmark results.
LongCat-Flash-Chat is developed by Meituan and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.