OpenAI announced its first custom inference chip Jalapeño, designed to deliver higher throughput and responsive Codex coding agent sessions.

Key Takeaways

  • ✓Tailored for frontier inference workloads, cutting TTFT and boosting concurrent long-context sessions
  • ✓Directly powers responsive Codex coding sessions and autonomous agent refactoring loops
  • ✓Deployment across OpenAI enterprise compute infrastructure scheduled by year-end
⚡

Key Decision Metrics at a Glance

TL;DR Verdict
🏆 Benchmark RankRank
See how it ranks on the leaderboard
Full Leaderboard→
💰 Cost & PlansCompare
in: $5 / out: $30
Compare Plans↗
🛠️ Ecosystem & IDERules
Devin 2.0 (Cognition) · Cursor Composer (Agent Mode)
Setup IDE Rules↗
🧭

Turn your technical choice into a development budget

Compare 40 dev plans & simulate token costs vs $20/mo subscriptions

⚔️ Compare Model→💰 Compare plans & limits↗
Action HubReady to adopt this in production?

Benchmark side-by-side against alternatives, or calculate monthly token cost vs subscription break-even.

⚔️ Launch VS Compare→💳 View Plans↗
Up NextOpenAI Announces o3-mini Full API Availability: Custom Reasoning Budgets & 200k Context
Read Now→