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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 (6)

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

Qwen 3.6 35B-A3B (MTP)

Alibaba / Qwen team · 2026-05-11
35B/3B-Aworkstation

high-throughput MoE inference at workstation tier

Verdict

Qwen 3.6 27B (MTP)

Alibaba / Qwen team · 2026-05-11
27Bworkstation

dense workstation model with throughput-acceleration

Verdict

Qwen 3 Coder 32B

Alibaba · 2025-11-20
32Bworkstation

coding-specialized agent workloads

Verdict

Qwen 3 30B-A3B

Alibaba · 2025-04-29
30Bworkstation

workstation MoE — 3B active, 30B total

Verdict

QwQ 32B Preview

Alibaba · 2024-11-27
32Bworkstation

workstation-tier reasoning — Qwen team alternative to R1

Verdict

Qwen 2.5 32B Instruct

Alibaba · 2024-09-19
32Bworkstation

workstation-tier multilingual general chat

Verdict

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.