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Models2026-08-13 · source-backed
The meta-post hit 768 upvotes as Qwen3.8-2.4T, Grok 4.6, DeepSeek V4 Pro, LFM2.5-VL-3B, and North Micro Vision all landed within roughly a day. The clustering is the signal: labs are timing releases against each other rather than into open calendar space, which compresses the window for anyone trying to pick a model on evidence instead of launch-post volume.
Each link below shares sources, entities, or timing with this story.
PR #26062, "server: support MCP stdio," by ngxson, merged into ggml-org/llama.cpp on July 25 (r/LocalLLaMA). It landed alongside #26061 (vendored subprocess.h, merged July 24) and pwilkin's #26075 integration-and-tests PR. Until now, llama-server's web UI could only talk to MC...
DeepSeek-V4-Flash-0731 landed July 31 under MIT with a DSpark speculative-decoding module attached. Terminal Bench 2.1: 82.7. Toolathlon-Verified: 70.3. DSBench-FullStack: 68.7. DeepSWE: 54.4. NL2Repo: 54.2. The model card claims it beats DeepSeek-V4-Pro (Preview) "despite its...
DeepClaude hit 470 points on Hacker News. It swaps Claude Code's API backend to DeepSeek V4 Pro while preserving the full agent loop: file editing, bash execution, git tooling, the whole workflow. DeepSeek V4 Pro scores 96.4% on LiveCodeBench at a fraction of Anthropic's prici...
This is the week's most useful number, and it took an actual experiment to produce it rather than a launch post. Together AI ran 113 DeepSWE tasks at 4 trials per config: 452 GLM-5.3 rollouts and 448 GLM-5.3-Flash rollouts. GLM-5.3 scored 69.0% pass@1 at $3.99 per rollout. Fla...
I don't care that Grok 4.5 ranks #4. I care that it resolves a SWE-Bench Pro task with an average of 15,954 output tokens where Opus 4.8 spends 67,020. That's a 4.2x efficiency gap, and it lands straight in my monthly bill. SpaceXAI launched Grok 4.5 on July 8, a roughly 1.5T-...
Xiaomi released MiMo-V2.5-Pro, a 1.02 trillion parameter mixture-of-experts model (42B active) with 1M token context, fully MIT licensed. In benchmarks, it achieves 63.8% success on agentic tasks using 40-60% fewer tokens than Claude Opus 4.6 or GPT-5.4 for comparable results....
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