AINewsnow

Cost per token is the wrong number for coding agents. Here's what we measured instead.

This story is from 2026-10-03. It is preserved in the archive; the latest stories are on the live feed.

We build AstraCode, an AI code editor whose agent has to prove its own work. Model calls are the largest line on our bill, so in September we stopped guessing and measured: eleven models, the same set of real coding tasks, each run more than once, scored on pass rate and on cost per finished task .…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-03 14:38 · DEV Community — AI
    Cost per token is the wrong number for coding agents. Here's what we measured instead.

More stories

  1. NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI — NVIDIA Blog
  2. Gemini 4 Argon: our next era of frontier intelligence — Google Gemini Blog
  3. Google tests its plan for AI data centers in space with Project Suncatcher — Scientific American
  4. Guided Vision in Gemini Live: built for accessibility — Google Gemini Blog
  5. Google announces Gemini 4 Argon AI model, but you can't use it yet — Ars Technica AI
  6. OpenAI DevDay 2026 Keynote (FULL) — OpenAI YouTube
  7. The latest AI news we announced in September 2026 — Google Gemini Blog
  8. Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs — Allen Institute for AI (Ai2)

Get the daily brief of stories like this at 6:30 every morning →