Latest LLM release source packet preview

Moonshot AI publishes the full Kimi K3 weights to Hugging Face under a Modified MIT license on July 26 — a day ahead of its announced July 27 target — making the 2.8T-parameter MoE freely downloadable, modifiable, and self-hostable, and cementing K3 as the largest open-weight model publicly available.

Anthropic releases Claude Opus 5, its flagship model for demanding reasoning, autonomous coding, and long-horizon agentic work — pitched as the go-to model for most knowledge work, approaching Fable 5 capability in many categories at about half the price. Adds a five-level 'effort' dial on the Claude API/Platform to trade compute for capability, a 1M-token context at standard pricing, and up to 128K output tokens. Standard pricing $5/$25 per Mtok (matching Opus 4.8), plus a $10/$50 Fast mode; becomes the default for Claude Max subscribers. Anthropic calls it its most aligned Opus model.

Ant Group's inclusionAI lab releases Ling-3.0-flash, a hybrid-reasoning Mixture-of-Experts model with 124B total parameters and ~5.1B active per token (1/64 expert activation), built for production-scale agents. Ant claims it matches or beats its own ~1T-parameter flagship on most benchmarks shown at 1/8 the total and 1/12 the active parameters — a vendor claim with no public benchmark table at launch. Uses a KDA + MLA hybrid-linear attention stack at a reported 5:1 ratio for an economical 256K-token context. Announced as open-weight under Apache 2.0, but weights and a model card were not yet posted to Hugging Face as of July 24; usable only via hosted API, free on OpenRouter and Vercel AI Gateway through August 3 2026.

Fastest, most cost-effective 3.5-class model (~350 output tokens/s) for high-throughput agentic workloads, priced at $0.30 / $2.50 per Mtok with a 1M-token context and built-in computer use. Large step up on 3.1 Flash-Lite and beats 3 Flash on several agentic/coding evals.

Poolside releases Laguna S 2.1, a 118B-total / 8B-active open-weight MoE coding model with a 1M-token context, pitched as 'the West's most capable open-weight model' for its weight class. It scores 70.2% on Terminal-Bench 2.1 and tops the published open disclosed-size table on SWE-bench Multilingual at 78.5%. Trained in under nine weeks on 4,096 H200 GPUs, it ships weights on Hugging Face under OpenMDW-1.1 (BF16/FP8/INT4/NVFP4 + GGUF/MLX) and runs at 4-bit on a single NVIDIA DGX Spark. Hosted free at 256K context and paid at full 1M context via OpenRouter ($0.10/$0.20/$0.01 per 1M input/output/cache-read tokens).

A cyber-specialized model built on 3.5 Flash for finding and fixing software vulnerabilities, deployed inside the CodeMender agent and reaching competitive frontier performance on CyberGym. Limited-access pilot restricted to governments and trusted partners.

Google DeepMind ships Gemini 3.6 Flash, a multimodal 1M-context workhorse for agentic workflows that improves on 3.5 Flash in coding, knowledge work, and computer use while cutting output-token usage ~17% at a lower price ($1.50 / $7.50 per Mtok). Available in the Gemini API, Gemini Enterprise, and the Gemini app.

V4-Flash, the efficient tier of the V4 family, exits preview alongside V4-Pro as DeepSeek retires its legacy deepseek-chat and deepseek-reasoner aliases (cutoff July 24, 2026).