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RUNLOCALAI · v38
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Frontier zone · Model releases

The frontier of open-weight model releases

Open-weight model releases tracked by RunLocalAI — recent additions, rising families, distill chains, multimodal and reasoning waves. Each card links into the catalog with authority badges (L1.25 enriched · benchmark-backed · verdict) so you can scan editorial coverage at a glance.

By Fredoline Eruo · Refreshed continuously from catalog seed
Filter
Family
AnyQwenLlamaDeepSeekMistralGemmaPhiGLMOLMo
Deployment
AnyEdgeConsumerWorkstationDatacenterFrontier
Modality
AnyMultimodalText-only
Coverage
AnyL1.25 enrichedNeeds L1.25Needs benchmark

Filtered results (3)

Models matching your filters. Clear filters by clicking “Any” on each row above, or remove individual filters via the URL.

Qwen 3.5 235B-A17B (MoE)

Alibaba · 2026-05-01
397B/17B-Afrontier

frontier-tier reasoning + multilingual serving on multi-machine clusters

L1.25 enrichedVerdict

DeepSeek V4 Pro (1.6T MoE)

DeepSeek · 2026-04-24
1600B/49B-Afrontier

frontier-tier coding + reasoning serving — currently the open-weight ceiling

L1.25 enrichedVerdict

DeepSeek R1 (671B reasoning)

DeepSeek · 2025-01-20
671Bfrontier

frontier-tier reasoning research; cluster-only deployment

L1.25 enrichedVerdict

Going deeper

  • Ecosystem maps — structured-landscape views (memory frameworks, inference runtimes, MCP, coding agents).
  • Execution stacks — recipes that combine models with runtimes + hardware.
  • Frontier index — broader ecosystem-momentum view across coding agents, inference runtimes, memory systems, MCP.
  • Benchmarks — measured tokens-per-second + topology fields across hardware/model/runtime triples.