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MiniMax M2.7 vs GPT OSS 20B

Compare MiniMax M2.7 by MiniMax against GPT OSS 20B by OpenAI, context windows of 205K vs 131K, tested across 52 shared challenges. Updated March 2026.

Which is better, MiniMax M2.7 or GPT OSS 20B?

MiniMax M2.7 and GPT OSS 20B are both competitive models. MiniMax M2.7 costs $0.3/M input tokens vs $0.02/M for GPT OSS 20B. Context windows: 205K vs 131K tokens. Compare their real outputs side by side below.

Key Differences Between MiniMax M2.7 and GPT OSS 20B

MiniMax M2.7 is made by minimax while GPT OSS 20B is from openai. MiniMax M2.7 has a 205K token context window compared to GPT OSS 20B's 131K. On pricing, MiniMax M2.7 costs $0.3/M input tokens vs $0.02/M for GPT OSS 20B.

Our Verdict
MiniMax M2.7
MiniMax M2.7
GPT OSS 20B
GPT OSS 20B

No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.

GPT OSS 20B is 12x cheaper per token — worth considering if cost matters.

Too close to call
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