Model Comparison

LongCat-Flash-Thinking vs o3

Both models are evenly matched across the benchmarks. LongCat-Flash-Thinking is 6.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

LongCat-Flash-Thinking outperforms in 4 benchmarks (AIME 2024, AIME 2025, Tau2 Airline, Tau2 Telecom), while o3 is better at 4 benchmarks (ARC-AGI, GPQA, SWE-Bench Verified, Tau2 Retail).

Both models are evenly matched across the benchmarks.

Sun May 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Thinking costs less

For input processing, LongCat-Flash-Thinking ($0.30/1M tokens) is 6.7x cheaper than o3 ($2.00/1M tokens).

For output processing, LongCat-Flash-Thinking ($1.20/1M tokens) is 6.7x cheaper than o3 ($8.00/1M tokens).

In conclusion, o3 is more expensive than LongCat-Flash-Thinking.*

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

Lowest available price from all providers
Sun May 24 2026 • llm-stats.com
Meituan
LongCat-Flash-Thinking
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
OpenAI
o3
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o3 accepts 200,000 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. LongCat-Flash-Thinking can generate longer responses up to 128,000 tokens, while o3 is limited to 100,000 tokens.

Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Sun May 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o3 supports multimodal inputs, whereas LongCat-Flash-Thinking does not.

o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

LongCat-Flash-Thinking

Text
Images
Audio
Video

o3

Text
Images
Audio
Video

License

Usage and distribution terms

LongCat-Flash-Thinking is licensed under MIT, while o3 uses a proprietary license.

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

LongCat-Flash-Thinking

MIT

Open weights

o3

Proprietary

Closed source

Release Timeline

When each model was launched

LongCat-Flash-Thinking was released on 2025-09-22, while o3 was released on 2025-04-16.

LongCat-Flash-Thinking is 5 months newer than o3.

LongCat-Flash-Thinking

Sep 22, 2025

8 months ago

5mo newer
o3

Apr 16, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

o3 has a documented knowledge cutoff of 2024-05-31, while LongCat-Flash-Thinking's cutoff date is not specified.

We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without LongCat-Flash-Thinking's cutoff date.

LongCat-Flash-Thinking

—

o3

May 2024

Provider Availability

LongCat-Flash-Thinking is available from Meituan. o3 is available from OpenAI.

LongCat-Flash-Thinking

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

o3

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Meituan
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2024 score (93.3% vs 91.6%)
Higher AIME 2025 score (90.6% vs 86.4%)
Higher Tau2 Airline score (67.5% vs 64.8%)
Higher Tau2 Telecom score (83.1% vs 58.2%)
OpenAI
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher ARC-AGI score (88.0% vs 50.3%)
Higher GPQA score (83.3% vs 81.5%)
Higher SWE-Bench Verified score (69.1% vs 59.4%)
Higher Tau2 Retail score (80.2% vs 71.5%)
MeituanLongCat-Flash-Thinking
OpenAIo3
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Detailed Comparison

AI Model Comparison Table
Feature
Meituan
LongCat-Flash-Thinking
OpenAI
o3

FAQ

Common questions about LongCat-Flash-Thinking vs o3.

Which is better, LongCat-Flash-Thinking or o3?

Both models are evenly matched across the benchmarks. LongCat-Flash-Thinking is made by Meituan and o3 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does LongCat-Flash-Thinking compare to o3 in benchmarks?

LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.

Is LongCat-Flash-Thinking cheaper than o3?

LongCat-Flash-Thinking is 6.7x cheaper for input tokens. LongCat-Flash-Thinking costs $0.30/M input and $1.20/M output via meituan. o3 costs $2.00/M input and $8.00/M output via openai.

What are the context window sizes for LongCat-Flash-Thinking and o3?

LongCat-Flash-Thinking supports 128K tokens and o3 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LongCat-Flash-Thinking and o3?

Key differences include context window (128K vs 200K), input pricing ($0.30 vs $2.00/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-Flash-Thinking and o3?

LongCat-Flash-Thinking is developed by Meituan and o3 is developed by OpenAI.