Originally published on AI Tech Connect.
What changed this month MiniMax M3 now leads open-weight on SWE-Bench Pro at 59.0% (launched 1 June 2026), just ahead of Kimi K2.6's 58.6% from April. Remember: SWE-Bench Pro is the harder set — scores live in the mid-to-high 50s. DeepSeek V4-Pro still leads open-weight on SWE-Bench Verified at 80.6% — a different, easier benchmark where scores sit in the low 80s. MiniMax M3 is right behind at 80.5%. M3 is the first open-weight model to pair frontier coding with a 1M-token context window and native multimodality — image and video input — in one set of downloadable weights. The front rank is now five-deep: MiniMax M3, GLM-5.1, Kimi K2.6, DeepSeek V4-Pro and Qwen3-Coder-Next. The practical decision has shifted from "open vs closed" to "which open-weight model fits my stack". Watch out There…
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