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JetBrains Releases Mellum2.1: A 12B MoE Open Model for Coding Agents

47-point jump. JetBrains' 12B MoE model went from 2.0 to 47.0 on SWE-bench Verified with RL in real codebases.

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The KeyNews take

Why it matters

JetBrains released an open-weight coding model with substantial SWE-bench gains through repository-grounded RL, establishing a practitioner-accessible baseline for agentic coding workflows and competing directly with closed frontier models in the coding domain.

The key facts

5 to know
  1. Mellum2.1: 12B total parameters, 2.5B active (MoE architecture)

  2. SWE-bench Verified: 2.0 → 47.0 (23.5x improvement)

  3. Apache 2.0 license (open-weight, commercially usable)

  4. RL training in real repositories (grounding method)

  5. Purpose: coding agents

The story so far

Earlier coverage of this storyline

  1. Reflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic WorkloadsMarkTechPost
  2. This story

Go to the source

MarkTechPostmarktechpost.com

Publisher excerpt: JetBrains released Mellum2.1, an Apache 2.0, 12B mixture-of-experts thinking model with 2.5B active parameters. RL in real repositories lifted its SWE-bench Verified score from 2.0 to 47.0.
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