Model Comparison

LongCat-Flash-Thinking vs Qwen3-Coder

Comparing LongCat-Flash-Thinking and Qwen3-Coder across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LongCat-Flash-Thinking and Qwen3-Coder don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-Coder costs less

For input processing, LongCat-Flash-Thinking ($0.30/1M tokens) is 1.7x more expensive than Qwen3-Coder ($0.18/1M tokens).

For output processing, LongCat-Flash-Thinking ($1.20/1M tokens) is 6.7x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, LongCat-Flash-Thinking is more expensive than Qwen3-Coder.*

* 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-Coder
Input tokens$0.18
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

80.0B diff

LongCat-Flash-Thinking has 80.0B more parameters than Qwen3-Coder, making it 16.7% larger.

Meituan
LongCat-Flash-Thinking
560.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder
480.0Bparameters
560.0B
LongCat-Flash-Thinking
480.0B
Qwen3-Coder

Context Window

Maximum input and output token capacity

Qwen3-Coder accepts 256,000 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while LongCat-Flash-Thinking is limited to 128,000 tokens.

Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

LongCat-Flash-Thinking is licensed under MIT, while Qwen3-Coder 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-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Thinking was released on 2025-09-22, while Qwen3-Coder was released on 2025-01-01.

LongCat-Flash-Thinking is 9 months newer than Qwen3-Coder.

LongCat-Flash-Thinking

Sep 22, 2025

6 months ago

8mo newer
Qwen3-Coder

Jan 1, 2025

1.3 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-Thinking is available from Meituan. Qwen3-Coder is available from DeepInfra, Fireworks.

LongCat-Flash-Thinking

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

Qwen3-Coder

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meituan
Alibaba Cloud / Qwen Team

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

Common questions about LongCat-Flash-Thinking vs Qwen3-Coder

LongCat-Flash-Thinking (Meituan) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.
Qwen3-Coder is 1.7x cheaper for input tokens. LongCat-Flash-Thinking costs $0.30/M input and $1.20/M output via meituan. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.
LongCat-Flash-Thinking supports 128K tokens and Qwen3-Coder supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 256K), input pricing ($0.30 vs $0.18/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-Coder is developed by Alibaba Cloud / Qwen Team.