#open-weight-models

Kimi K3's open weights are promised by July 27, not shipped — use the 10-day window to prep hosting for a 2.8T model and check the license before you commit.

Kimi K3's open-weight bet meets Anthropic's closed Fable 5. Vendor benchmarks split 6-8, K3 lists at $3/$15 vs $10/$50, and weights are promised July 27.

Five open-weight moves cluster in one July window — K3, Inkling, M3 Pro, a Mistral MoE teaser and a scheduled DeepSeek V4 — narrowing the gap to a generation.

Kimi K3 brings 2.8T parameters, 1M context, and near-frontier vendor benchmarks, with open weights due July 27, 2026. What the release means for AI buyers.

Tencent shipped Hunyuan Hy3, a 295B open-weight MoE, under Apache 2.0 on July 6, 2026. It trails GLM-5.2 on coding but wins on agentic tasks at half the memory.

Pair Fable 5 as the orchestrator brain with GLM-5.2 as open-weight execution muscle. A concrete routing recipe, the cost math, and the single-model risk case.

GLM-5.2 is MIT-licensed and downloadable, but full weights run ~1.5TB and need datacenter GPUs. The hardware reality, quant ladder, and routes that work.

Match 2026's best open-weight coding models to your hardware: Qwen3-Coder-Next, Devstral 2, GLM-5.2 and DeepSeek V4 by VRAM, SWE-bench score and real speed.

US frontier-model gating is pushing global builders toward open-weight models China already dominates. Does Washington's lockdown hand Beijing the edge?

On June 26, 2026 the US gated two frontier models the same day: Anthropic's Mythos 5 and OpenAI's GPT-5.6 Sol. Inside the new managed-release era.

The Fable 5 export shutdown showed single-vendor AI can halt your business overnight. A four-step second-source playbook with open-weight failover backups.

DiffusionGemma is Google's first open-weight text diffusion LLM: a 26B MoE under Apache 2.0 hitting 1,100+ tokens/sec on one H100. Where it wins and loses.

OpenRouter added five models in ten days, from Opus 4.8 to MiniMax M3 at $0.30/M input. June 2026 pricing, context windows, and usage rankings.

Open-weight models now run 10-12x cheaper than frontier SaaS. A 2026 framework on the TCO crossover, vendor lock-in, and data sovereignty for agencies.

MiniMax M3 lands at 5-17x lower cost, but Opus 4.8 leads SWE-bench Pro and GPT-5.5 wins Terminal-Bench. A full three-way agentic coding routing matrix.

DeepSeek abandons its no-outside-capital stance in a ~$7.4B maiden round led by Tencent and CATL, valuing it near $59B and reshaping open-weight economics.

Cosmos 3 is the first fully open physical-AI omnimodel: one model reasons, simulates, and predicts robot actions. Inside the two-tower design and how to run it.

MiniMax M3 fuses frontier coding, a 1M-token context window, and native multimodality. Inside its Sparse Attention design, vendor benchmarks, and pricing.

StepFun's Apache-2.0 Step 3.7 Flash pairs a 196B MoE backbone with a 1.8B vision encoder, activating ~11B params per token. The cost case for agentic teams.

When self-hosting open-weight models beats API calls: a cost-crossover model, GPU sizing tables, and a deployment matrix for vLLM, SGLang, and Ollama.

Migrate DeepSeek V3.2 to V4 across open-weight stacks — three reasoning modes, tokenizer change, HCA/CSA attention deltas, KV-cache reduction.

GPU spend, ops headcount, latency, and break-even volume for hosting Llama, Qwen, DeepSeek, and Mistral yourself vs API. With per-token cost curves at 4 scales.

Cross-model quality regression, throughput lift, and VRAM savings at GPTQ-4, AWQ-4, INT8, and FP8 — benchmark data across 6 open-weight models.

Seven serverless inference providers compared on price, latency, model availability, and throughput. 60+ data points across 12 popular models.

Side-by-side input, output, cached, and batch pricing for 30 frontier and open-weight models across 12 providers. Updated April 2026 with 200+ price points.

Q2 2026 gap analysis between open-weight and closed-source frontier models — capability parity, cost economics, and the agency deployment decision tree.