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MiniMax M2.7 Tops Tournament, DeepSeek Wins Cost

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MiniMax M2.7 Tops Tournament, DeepSeek Wins Cost
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// 2h agoBENCHMARK RESULT

MiniMax M2.7 Tops Tournament, DeepSeek Wins Cost

The post describes a model tournament run for an agentic product intended to replace Sonnet 4.7, which the author says was becoming too expensive to operate. The lineup included Qwen 3.5, DeepSeek V4 Pro, DeepSeek V4 Flash, Sonnet 4.7, MiniMax M2.7, Kimi K2.6, and GLM-5. According to the author, DeepSeek V4 Flash was the clear cost winner, but MiniMax M2.7 delivered the best overall performance and “blew every model away,” reportedly reaching 92% in the test.

// ANALYSIS

Hot take: this reads like a real procurement signal, not a vanity benchmark post - the winning combo is probably not “one model to rule them all,” but a router with DeepSeek V4 Flash for cheap throughput and MiniMax M2.7 for hard cases.

  • MiniMax M2.7 is the standout quality signal here if the 92% result holds across the task mix.
  • DeepSeek V4 Flash looks like the obvious default for cost-sensitive agent loops and high-volume calls.
  • Sonnet 4.7 appears to be the incumbent being pressured out on economics rather than raw capability.
  • For agentic products, this kind of result usually points to hybrid routing, not a single-model migration.
// TAGS
minimax-m2-7deepseek-v4-flashdeepseek-v4-prosonnet-4-7kimi-k2-6glm-5qwen-3-5agentllm-benchmarkmodel-comparison

DISCOVERED

2h ago

2026-05-27

PUBLISHED

2h ago

2026-05-26

RELEVANCE

9/ 10

AUTHOR

0xDesigner