Model Comparison

LongCat-Flash-Thinking vs Qwen3 235B A22B

LongCat-Flash-Thinking significantly outperforms across most benchmarks. Qwen3 235B A22B is 5.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

LongCat-Flash-Thinking outperforms in 6 benchmarks (AIME 2024, AIME 2025, GPQA, LiveCodeBench, MMLU-Pro, MMLU-Redux), while Qwen3 235B A22B is better at 0 benchmarks.

LongCat-Flash-Thinking significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 235B A22B costs less

For input processing, LongCat-Flash-Thinking ($0.30/1M tokens) is 3.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

For output processing, LongCat-Flash-Thinking ($1.20/1M tokens) is 12.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

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

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Meituan
LongCat-Flash-Thinking
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input tokens$0.10
Output tokens$0.10
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

325.0B diff

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

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

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

LongCat-Flash-Thinking is licensed under MIT, while Qwen3 235B A22B uses Apache 2.0.

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

LongCat-Flash-Thinking

MIT

Open weights

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Thinking was released on 2025-09-22, while Qwen3 235B A22B was released on 2025-04-29.

LongCat-Flash-Thinking is 5 months newer than Qwen3 235B A22B.

LongCat-Flash-Thinking

Sep 22, 2025

6 months ago

4mo newer
Qwen3 235B A22B

Apr 29, 2025

11 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-Thinking is available from Meituan. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.

LongCat-Flash-Thinking

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

Qwen3 235B A22B

fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $0.80/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Meituan
Higher AIME 2024 score (93.3% vs 85.7%)
Higher AIME 2025 score (90.6% vs 81.5%)
Higher GPQA score (81.5% vs 47.5%)
Higher LiveCodeBench score (79.4% vs 70.7%)
Higher MMLU-Pro score (82.6% vs 68.2%)
Higher MMLU-Redux score (89.3% vs 87.4%)
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

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

LongCat-Flash-Thinking significantly outperforms across most benchmarks. LongCat-Flash-Thinking is made by Meituan and Qwen3 235B A22B 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-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.
Qwen3 235B A22B is 3.0x cheaper for input tokens. LongCat-Flash-Thinking costs $0.30/M input and $1.20/M output via meituan. Qwen3 235B A22B costs $0.10/M input and $0.10/M output via fireworks.
LongCat-Flash-Thinking supports 128K tokens and Qwen3 235B A22B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.30 vs $0.10/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
LongCat-Flash-Thinking is developed by Meituan and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.