{"type":"post","slug":"jalapeno-first-inference-results","title":"Jalapeno first inference results","description":"OpenAI published measured results for Jalapeño, its first custom inference chip, claiming 1.5-1.9x more work per watt and 1.7-3.6x lower latency on a public third-party benchmark.","retrieval_nugget":"OpenAI published measured results for Jalapeño, its first custom inference chip, claiming 1.5-1.9x more work per watt and 1.7-3.6x lower latency on a public third-party benchmark.","published_at":"2026-08-31","updated_at":"2026-09-12","record_date":"2026-08-25","date_kind":"published_at","topics":["agent-retrieval","agents","ai","search"],"entities":["OpenAI"],"source_url":"https://openai.com/index/jalapeno-first-results","source_title":"Jalapeño’s first results show industry-leading speed and efficiency in AI inference","source_domain":"openai.com","source_terms":["Jalapeno","first","inference","Jalape","performance"],"summary_word_count":194,"schema_version":"newruntime-agent-readable-v0.2","stable_id":"post:jalapeno-first-inference-results","status":"published","source_urls":["https://openai.com/index/jalapeno-first-results"],"visuals":[],"editorial_provenance":{"schema_version":"newruntime-editorial-copy-v1","content_status":"source_grounded_final","final_copy_sha256":"sha256:0fc7ec266c89241bf219ed2bab43b11aac7bd427571837de72a4e4138a51a0e1","reviewed_at":"2026-09-12T10:00:00Z","source_evidence_count":1,"verified_claim_count":2,"site_analysis_schema_version":"newruntime-site-analysis-v1","site_object_kind":"field_note","observed_fact_count":2,"implication_count":1,"watch_condition_count":1,"related_record_count":3},"analysis":{"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"OpenAI published first results for Jalapeño, its custom inference chip, on 25 August.","observed_facts":[{"text":"Jalapeño delivered 1.5 to 1.9 times more AI work per watt at peak throughput and 1.7 to 3.6 times lower end-to-end latency.","source_urls":["https://openai.com/index/jalapeno-first-results"]},{"text":"Testing covered GPT-OSS 120B, DeepSeek R1 and Kimi K2.5 1T on the InferenceX benchmark from SemiAnalysis.","source_urls":["https://openai.com/index/jalapeno-first-results"]}],"mechanism":"OpenAI evaluates at a matched user experience: how much useful work a system completes per unit of power while still meeting the latency interactive agents require.","why_now":"The company's stated reason is that agents run many steps in sequence, so per-step delay compounds across a task, which makes latency a throughput problem rather than a comfort metric.","implications":["The measurement method is the part that matters for agents."],"evidence_boundary":"The numbers are OpenAI's own runs against unnamed comparison systems, and ramp plans are stated as intent.","watch_conditions":["The condition to watch is whether independent InferenceX submissions reproduce the per-watt range, because a first-party benchmark result on a public benchmark is still a first-party result."],"related_records":[{"url":"https://newruntime.com/posts/gimlet-multi-silicon-inference-cloud","relation":"Prior coverage of inference as a multi-silicon scheduling problem."},{"url":"https://newruntime.com/posts/llm-inference-gpu-capacity-planning","relation":"Prior coverage of inference sizing as capacity planning."},{"url":"https://newruntime.com/posts/anthropic-model-hardware-standard-control-boundary","relation":"Prior coverage of hardware as a control boundary."}]},"routes":{"html":"https://newruntime.com/posts/jalapeno-first-inference-results/","markdown":"https://newruntime.com/posts/jalapeno-first-inference-results.md","json":"https://newruntime.com/posts/jalapeno-first-inference-results.json"},"editor":{"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]},"next_reads":[{"type":"topic","path":"/topics/agent-retrieval/","url":"https://newruntime.com/topics/agent-retrieval/","title":"Agent Retrieval","reason":"Explore the agent-retrieval topic hub.","media_type":"text/html","markdown_url":"https://newruntime.com/topics/agent-retrieval.md","json_url":"https://newruntime.com/topics/agent-retrieval.json"},{"type":"topic","path":"/topics/agents/","url":"https://newruntime.com/topics/agents/","title":"Agents","reason":"Explore the agents topic hub.","media_type":"text/html","markdown_url":"https://newruntime.com/topics/agents.md","json_url":"https://newruntime.com/topics/agents.json"},{"type":"topic","path":"/topics/ai/","url":"https://newruntime.com/topics/ai/","title":"Ai","reason":"Explore the ai topic 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