Model Comparison

LongCat-Flash-Chat vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 has a slight edge in benchmark performance. LongCat-Flash-Chat is 1.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

LongCat-Flash-Chat outperforms in 2 benchmarks (IFEval, Tau2 Telecom), while Qwen3-235B-A22B-Thinking-2507 is better at 4 benchmarks (AIME 2025, GPQA, MMLU-Pro, Tau2 Retail).

Qwen3-235B-A22B-Thinking-2507 has a slight edge in benchmark performance.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Chat costs less

For input processing, LongCat-Flash-Chat ($0.30/1M tokens) costs the same as Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, LongCat-Flash-Chat ($1.20/1M tokens) is 2.5x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than LongCat-Flash-Chat.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Meituan
LongCat-Flash-Chat
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input tokens$0.30
Output tokens$3.00
Best providerFireworks
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Model Size

Parameter count comparison

325.0B diff

LongCat-Flash-Chat has 325.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 138.3% larger.

Meituan
LongCat-Flash-Chat
560.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
560.0B
LongCat-Flash-Chat
235.0B
Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to LongCat-Flash-Chat's 128,000 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while LongCat-Flash-Chat is limited to 128,000 tokens.

Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

LongCat-Flash-Chat is licensed under MIT, while Qwen3-235B-A22B-Thinking-2507 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

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Chat was released on 2025-08-29, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

LongCat-Flash-Chat is 1 month newer than Qwen3-235B-A22B-Thinking-2507.

LongCat-Flash-Chat

Aug 29, 2025

7 months ago

1mo newer
Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

8 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-Flash-Chat is available from Meituan. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

LongCat-Flash-Chat

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

Qwen3-235B-A22B-Thinking-2507

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Meituan
Less expensive output tokens
Higher IFEval score (89.6% vs 87.8%)
Higher Tau2 Telecom score (73.7% vs 45.6%)
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Higher AIME 2025 score (92.3% vs 61.3%)
Higher GPQA score (81.1% vs 73.2%)
Higher MMLU-Pro score (84.4% vs 82.7%)
Higher Tau2 Retail score (71.9% vs 71.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Meituan
LongCat-Flash-Chat
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about LongCat-Flash-Chat vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 has a slight edge in benchmark performance. LongCat-Flash-Chat is made by Meituan and Qwen3-235B-A22B-Thinking-2507 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%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.
Both models cost $0.30 per million input tokens.
LongCat-Flash-Chat supports 128K tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 262K), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
LongCat-Flash-Chat is developed by Meituan and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.