Checks your RAM, CPU, GPU and VRAM in the browser and grades every open-weight model against your hardware before you download anything.
→ Scores each model for fit, speed and context length → Grades every quantization level from Q4_K_M to Q8_0 →
Route Claude Code subagents to DeepSeek Flash
"anthropic_default_opus_model": "lead" "claude_code_subagent_model": "worker"
OpenAI just revealed the first benchmark numbers for Jalapeño, their custom AI inference chip
And they used their own AI models to help design it 1.5 to 1.9x more AI work per watt. 1.7 to 3.6x lower latency. 2.1 to 4.1x higher performance on interactive workloads. tested on
Ran a one-shot "WOW prompt" local DGX Spark duel
Qwen3.8-27B made a bioluminescent jellyfish. DeepSeek V4 Flash made a morphing Julia fractal. One prompt each. No retries. Both animated HTML, rendered to video. 27K tokens vs 42K (and 2 bug fixes). No where near as
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