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

Comparing LongCat-Flash-Chat and Qwen3-235B-A22B-Thinking-2507 across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

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.

Tue Mar 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

Tue Mar 17 2026 • llm-stats.com

LongCat-Flash-Chat

Input tokens$0.30

Output tokens$1.20

Best providerMeituan

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

Notice missing or incorrect data?Start an Issue→

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.

LongCat-Flash-Chat

560.0Bparameters

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.

LongCat-Flash-Chat

Input128,000 tokens

Output128,000 tokens

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Tue Mar 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

6 months ago

1mo newer

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

7 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. The availability of providers can affect quality of the model and reliability.