Question 1

What is the difference between MiniMax M2.5 and GPT OSS 120B?

Accepted Answer

MiniMax M2.5 is developed by MiniMax while GPT OSS 120B is developed by OpenAI. MiniMax M2.5 has a 205K token context window vs GPT OSS 120B's 131K. You can compare their actual outputs across 48 challenges on RIVAL to see how they differ in practice.

Question 2

Which is better, MiniMax M2.5 or GPT OSS 120B?

Accepted Answer

It depends on your use case. MiniMax M2.5 and GPT OSS 120B each have strengths in different areas. RIVAL lets you compare their real outputs side-by-side across 48 challenges so you can judge which fits your needs best.

Question 3

How much does MiniMax M2.5 cost compared to GPT OSS 120B?

Accepted Answer

MiniMax M2.5 costs $0.3/M input tokens and GPT OSS 120B costs $0.18/M input tokens. GPT OSS 120B is $0.12/M cheaper per input. Check their side-by-side outputs on RIVAL to see if the price difference is justified by quality.

Question 4

How can I compare MiniMax M2.5 and GPT OSS 120B on RIVAL?

Accepted Answer

This page shows a side-by-side comparison of MiniMax M2.5 and GPT OSS 120B across shared challenges. You can vote on which model produced the better output, and Pro users can create custom challenges to test both models with their own prompts.

MiniMax M2.5 vs GPT OSS 120B

What is the difference between MiniMax M2.5 and GPT OSS 120B?

Which is better, MiniMax M2.5 or GPT OSS 120B?

How much does MiniMax M2.5 cost compared to GPT OSS 120B?

How can I compare MiniMax M2.5 and GPT OSS 120B on RIVAL?