Source packet
Collaboration kitLatest LLM release source packet preview
A compact research packet for journalists, newsletter writers, creators, and analysts who need recent model-release facts with links back to the original sources.
Copyable brief
What changed recently
In the latest 30-day LLM Releases window, the catalog tracks 30 model lifecycle events across 15 labs, including 20 releases and 7 updates. 8 preview entries include original source links. The window is anchored to Jul 31, 2026, so the briefing stays stable between crawls.
This public page shows a sample of the packet structure. For a full source packet, API access, a custom model slice, or embargo-friendly collaboration, send a request through the partner form.
Suggested citation
LLM Releases, "Latest LLM release source packet preview," https://llm-releases.com/source-packets/latest. Accessed 2026-08-04.
Original links
Sample release events
Previewing 8 of 30 tracked events.
- sourceDeepSeek
The deepseek-v4-flash API endpoint is silently upgraded to the retrained DeepSeek-V4-Flash-0731 production build. Same endpoint, key, and model name; pricing unchanged at $0.14/$0.28 per Mtok.
- sourceDeepSeek
DeepSeek ships DeepSeek-V4-Flash-0731, the production build of V4-Flash: the April preview retrained on an improved post-training pipeline for coding, agents, reasoning, and tool use, with the architecture untouched (284B total / 13B active MoE, 1M context). DeepSeek reports it beating its own larger V4-Pro-Preview on all nine published agent and coding benchmarks. Weights on Hugging Face under MIT; API pricing held at $0.14/$0.28 per Mtok, and the swap is silent for existing deepseek-v4-flash callers.
- sourceAlibaba (Qwen)
Alibaba adds Qwen3.7-Flash, a cost-optimized vision-language reasoning model in the Qwen3.7 line, listed on OpenRouter and API endpoints on July 27 without a flagship announcement, technical report, or benchmark suite. It carries a 1M-token context and up to 65,536 output tokens, and at $0.03 / $0.13 per 1M input/output tokens is the cheapest 1M-context multimodal model available at release β aimed at high-volume multimodal agent workloads (visual coding, screen perception, browser/computer use, search) where cost matters more than peak intelligence. Closed-weights and API-only; architecture is undisclosed, with community speculation pointing to a small sparse-MoE design.
- sourceMoonshot AI
Moonshot AI publishes the full Kimi K3 weights to Hugging Face under a Modified MIT license on July 26 β a day ahead of its announced July 27 target β making the 2.8T-parameter MoE freely downloadable, modifiable, and self-hostable, and cementing K3 as the largest open-weight model publicly available.
- sourceReleasedAnthropic releases Claude Opus 5Anthropic
Anthropic releases Claude Opus 5, its flagship model for demanding reasoning, autonomous coding, and long-horizon agentic work β 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.
- sourceAnt Group (inclusionAI)
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 β 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.
- sourceGoogle DeepMind
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.
- sourceReleasedPoolside releases Laguna S 2.1Poolside
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).
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