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Model Comparison

GPT OSS 120B vs LongCat-Flash-Thinking-2601Which is better in 2026?

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks. GPT OSS 120B is 2.9x cheaper per token.

Verdict: GPT OSS 120B vs LongCat-Flash-Thinking-2601 — which is better?

GPT OSS 120B (by OpenAI) and LongCat-Flash-Thinking-2601 (by Meituan) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT OSS 120B outperforms in 0 benchmarks, while LongCat-Flash-Thinking-2601 is better at 2 benchmarks (GPQA, Humanity's Last Exam). LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks.

On price, GPT OSS 120B is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT OSS 120B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT OSS 120B if…

  • cost matters — it's about 2.9x cheaper per token
  • you process long inputs — it offers a 131,072 token context window

Choose LongCat-Flash-Thinking-2601 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jan 2026

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT OSS 120B outperforms in 0 benchmarks, while LongCat-Flash-Thinking-2601 is better at 2 benchmarks (GPQA, Humanity's Last Exam).

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks.

Fri Aug 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 120B costs less

For input processing, GPT OSS 120B ($0.09/1M tokens) is 3.3x cheaper than LongCat-Flash-Thinking-2601 ($0.30/1M tokens).

For output processing, GPT OSS 120B ($0.45/1M tokens) is 2.7x cheaper than LongCat-Flash-Thinking-2601 ($1.20/1M tokens).

In conclusion, LongCat-Flash-Thinking-2601 is more expensive than GPT OSS 120B.*

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

Lowest available price from all providers
Fri Aug 07 2026 • llm-stats.com
OpenAI
GPT OSS 120B
Input tokens$0.09
Output tokens$0.45
Best providerDeepinfra
Meituan
LongCat-Flash-Thinking-2601
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

443.2B diff

LongCat-Flash-Thinking-2601 has 443.2B more parameters than GPT OSS 120B, making it 379.5% larger.

OpenAI
GPT OSS 120B
116.8Bparameters
Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
116.8B
GPT OSS 120B
560.0B
LongCat-Flash-Thinking-2601

Context Window

Maximum input and output token capacity

GPT OSS 120B accepts 131,072 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. GPT OSS 120B can generate longer responses up to 131,072 tokens, while LongCat-Flash-Thinking-2601 is limited to 128,000 tokens.

OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Fri Aug 07 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 120B is licensed under Apache 2.0, while LongCat-Flash-Thinking-2601 uses MIT.

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

GPT OSS 120B

Apache 2.0

Open weights

LongCat-Flash-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

LongCat-Flash-Thinking-2601 is 5 months newer than GPT OSS 120B.

GPT OSS 120B

Aug 5, 2025

1.0 years ago

LongCat-Flash-Thinking-2601

Jan 14, 2026

6 months ago

5mo newer

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

GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. LongCat-Flash-Thinking-2601 is available from Meituan.

GPT OSS 120B

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.45/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

LongCat-Flash-Thinking-2601

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Meituan
Higher GPQA score (80.5% vs 80.1%)
Higher Humanity's Last Exam score (25.2% vs 14.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT OSS 120B and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.

GPT OSS 120B
✓ Preferred
LongCat-Flash-Thinking-2601
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT OSS 120B
Meituan
LongCat-Flash-Thinking-2601

FAQ

Common questions about GPT OSS 120B vs LongCat-Flash-Thinking-2601.

Which is better, GPT OSS 120B or LongCat-Flash-Thinking-2601?

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks. GPT OSS 120B is made by OpenAI and LongCat-Flash-Thinking-2601 is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT OSS 120B compare to LongCat-Flash-Thinking-2601 in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.

Is GPT OSS 120B cheaper than LongCat-Flash-Thinking-2601?

GPT OSS 120B is 3.3x cheaper for input tokens. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra. LongCat-Flash-Thinking-2601 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for GPT OSS 120B and LongCat-Flash-Thinking-2601?

GPT OSS 120B supports 131K tokens and LongCat-Flash-Thinking-2601 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT OSS 120B and LongCat-Flash-Thinking-2601?

Key differences include context window (131K vs 128K), input pricing ($0.09 vs $0.30/M), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B and LongCat-Flash-Thinking-2601?

GPT OSS 120B is developed by OpenAI and LongCat-Flash-Thinking-2601 is developed by Meituan.

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