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Open-weight MiniMax-M2.7 offers 14x value over GPT-5.6 Sol

A comparison of the cost of intelligence between open-weight and closed-source models highlights significant value differences. The open-weight MiniMax-M2.7 model offers an intelligence score of 38.1 for $0.525 per million tokens. In contrast, the closed GPT-5.6 Sol model achieves a higher intelligence score of 58.9 but at a substantially higher cost of $11.25 per million tokens, representing a 14x gap in value. AI

IMPACT Highlights the significant cost-efficiency advantage of open-weight models over proprietary solutions, potentially influencing adoption and development strategies.

RANK_REASON The item compares existing models on cost and performance, rather than announcing a new release or significant industry event.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Open-weight MiniMax-M2.7 offers 14x value over GPT-5.6 Sol

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Cost of intelligence, today's edition 📉 Open-weight MiniMax-M2.7: intelligence 38.1 at $0.525/1M Closed GPT-5.6 Sol: intelligence 58.9 at $11.25/1M 14x gap in v

    Cost of intelligence, today's edition 📉 Open-weight MiniMax-M2.7: intelligence 38.1 at $0.525/1M Closed GPT-5.6 Sol: intelligence 58.9 at $11.25/1M 14x gap in value. The open-source discount is real. Track it daily → https:// opensourceai.tech/leaderboard. html # LocalLLM # OpenS…