Open-source frontier consolidates into stable six-vendor landscape — DeepSeek V4, Qwen 3.7, Llama 4 Scout, Kimi K2.6, Mistral Medium 3.5, GLM-4.7
The H1 2026 open-source frontier has stabilized around six vendors shipping at near-frontier-lab cadence: DeepSeek V4, Qwen 3.7, Llama 4 Scout, Kimi K2.6, Mistral Medium 3.5, and GLM-4.7. The stabilization matters more than any individual release — the category structure resembles the closed-source frontier-lab landscape (Anthropic, OpenAI, Google, Meta, xAI) in its multi-vendor durability.
The substantive piece is the structural-stability shape. Pre-2026 open-source had a recurring 'single vendor pull-ahead' pattern — Llama 2 dominated, then Mistral, then Llama 3, then briefly DeepSeek V3. H1 2026 instead shows six vendors shipping at comparable cadence with comparable capability. The category no longer has a single 'open-source frontier model' — it has six interchangeable options with different capability-tradeoff profiles.
The procurement read for H2 2026 open-source deployment is that vendor selection optimizes on capability-shape fit (long-context, multilingual, code, vision) rather than on 'which open model is best right now.' The six-vendor landscape is durable through 2026; selection criteria should match deployment workload shape. Qwen 3.7's 201-language support is the multilingual specialization; DeepSeek for cost-optimized cluster deployment; Llama 4 Scout for ultra-long-context.
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