Full quality, fewer tokens.
We find what burns your team’s AI budget and fix it.
Let’s talkBook a direct call with the CEOWhere every token goes: by model, team, and use case.
Budgets and limits per team. No end-of-month surprises.
Right-size models, tighten prompts, cut context. Evals keep quality in check.
Explore our research on AI agents, benchmarking, and evaluation
We evaluate July 2026 fresh releases Kimi K3, Claude Opus 5, Grok 4.5, Gemini 3.6 Flash, and DeepSeek V4 Flash 0731 on Baba Is Bench, an LLM agent benchmark based on the puzzle game Baba Is You, comparing pass rate, speed, and cost with Claude Fable 5 and GPT-5.6.
A warning hidden in the DeepSeek-V4 paper says retrying interrupted LLM requests is mathematically incorrect — it introduces length bias. I reproduced it on 100,000 poems.
We tested Qwen3.6 27B quantizations by Unsloth on Hugging Face, with pelicans on bikes, gears, Terminal-Bench 2.1, and AIME-120.