GPT OSS 120B vs LongCat-Flash-Chat
GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is 2.9x cheaper per token.
OpenAI · Meituan · Updated for 2026
Which is better?
GPT OSS 120B outperforms in 2 benchmarks (GPQA, MMLU), while LongCat-Flash-Chat is better at 0 benchmarks. GPT OSS 120B 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.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GPT OSS 120B
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- 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-Chat
- you want the most recent training data — it shipped Aug 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 120B outperforms in 2 benchmarks (GPQA, MMLU), while LongCat-Flash-Chat is better at 0 benchmarks.
GPT OSS 120B significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT OSS 120B ($0.09/1M tokens) is 3.3x cheaper than LongCat-Flash-Chat ($0.30/1M tokens).
For output processing, GPT OSS 120B ($0.45/1M tokens) is 2.7x cheaper than LongCat-Flash-Chat ($1.20/1M tokens).
In conclusion, LongCat-Flash-Chat is more expensive than GPT OSS 120B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-Flash-Chat has 443.2B more parameters than GPT OSS 120B, making it 379.5% larger.
Context Window
Maximum input and output token capacity
GPT OSS 120B accepts 131,072 input tokens compared to LongCat-Flash-Chat's 128,000 tokens. GPT OSS 120B can generate longer responses up to 131,072 tokens, while LongCat-Flash-Chat is limited to 128,000 tokens.
License
Usage and distribution terms
GPT OSS 120B is licensed under Apache 2.0, while LongCat-Flash-Chat uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
GPT OSS 120B was released on 2025-08-05, while LongCat-Flash-Chat was released on 2025-08-29.
LongCat-Flash-Chat is 1 month newer than GPT OSS 120B.
Aug 5, 2025
1.1 years ago
Aug 29, 2025
12 months ago
3w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. LongCat-Flash-Chat is available from Meituan.
GPT OSS 120B
LongCat-Flash-Chat
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT OSS 120B and LongCat-Flash-Chat side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT OSS 120B vs LongCat-Flash-Chat.