MiniMax M2.7: The $0.30 Model That Matches Claude Opus 4.6
Released: March 18–26, 2026 | Source: Geeky Gadgets
Chinese AI lab MiniMax just dropped M2.7 — a 230-billion-parameter model that benchmarks alongside Claude Opus 4.6 at roughly $0.30 per million tokens. That's not a typo.
What makes M2.7 stand out
- 230B parameters with 50–100 tokens/second throughput
- 200,000-token context window for long-document and agentic tasks
- Runs on older GPU architectures — no H100 required
- ~$2,000/year operational cost for local deployment
- Reduces ML workflow manual effort by 30–50%
- Strong fit for privacy-sensitive and compute-constrained environments
The AI market is bifurcating: ultra-cheap capable models vs. premium frontier models. MiniMax M2.7 is making the case that the gap is closing fast — especially for organizations outside the well-resourced West.
Bottom line: If you're paying Opus prices for coding or agentic workflows, M2.7 is worth a serious look.
→ Full breakdown at Geeky Gadgets
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