{"type":"post","slug":"ox-alpha-tops-opencode-usage-data","title":"Ox Alpha tops OpenCode usage data","description":"An unattributed model called ox-alpha took the top of OpenCode usage with 36T tokens at zero recorded spend, showing that free access plus a 94% cache ratio moves usage before provenance does.","retrieval_nugget":"An unattributed model called ox-alpha took the top of OpenCode usage with 36T tokens at zero recorded spend, showing that free access plus a 94% cache ratio moves usage before provenance does.","published_at":"2026-08-30","updated_at":"2026-09-12","record_date":"2026-08-25","date_kind":"discovered_at","topics":["agents","ai","ai-software","coding-agents"],"entities":["opencode.ai"],"source_url":"https://opencode.ai/data/unknown/ox-alpha","source_title":"ox-alpha Usage, Cost & Rank","source_domain":"opencode.ai","source_terms":["Alpha","tops","OpenCode","usage","ox-alpha"],"summary_word_count":185,"schema_version":"newruntime-agent-readable-v0.2","stable_id":"post:ox-alpha-tops-opencode-usage-data","status":"published","source_urls":["https://opencode.ai/data/unknown/ox-alpha"],"visuals":[],"editorial_provenance":{"schema_version":"newruntime-editorial-copy-v1","content_status":"source_grounded_final","final_copy_sha256":"sha256:176f82bae8a9b1596ed52e70bfa833da264f9cde8f0506cd44dd415080701db1","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":2},"analysis":{"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"OpenCode's public usage data puts a model called ox-alpha at rank one for the week with 8.9% of roughly 2M observed volume, 36 trillion tokens between 1 July and 25 August, 425,000 unique users and just over 11 million completed sessions.","observed_facts":[{"text":"ox-alpha is ranked first with 8.9% token share, 36 trillion tokens, 425,000 unique users and over 11 million completed sessions.","source_urls":["https://opencode.ai/data/unknown/ox-alpha"]},{"text":"Recorded total spend and average cost per session are both $0.00 with a 94% input cache ratio.","source_urls":["https://opencode.ai/data/unknown/ox-alpha"]}],"mechanism":"Total spend and average cost per session are both $0.00, and the average session consumes 3.2 million tokens at a 94% input cache ratio.","why_now":"The vendor fields — context, output, knowledge, release and inputs — are all recorded as Unknown.","implications":["A free, heavily cached model with very long sessions accumulates token share faster than a paid model can, so the leaderboard measures distribution economics rather than capability."],"evidence_boundary":"The data is OpenCode's own observed traffic, the model's provenance is unstated, and the geography breakdown records where tokens were spent rather than who spent them.","watch_conditions":["The condition to watch is whether ox-alpha keeps its share once a price is attached, because a zero-cost model leaving the top of the table would confirm the ranking tracked spend rather than preference."],"related_records":[{"url":"https://newruntime.com/posts/model-routing-and-pricing-update-glm-deepseek-grok-qwen","relation":"Prior coverage of pricing and routing shifting model usage."},{"url":"https://newruntime.com/topics/coding-agents","relation":"Topic hub where coding-agent model choice is tracked."}]},"routes":{"html":"https://newruntime.com/posts/ox-alpha-tops-opencode-usage-data/","markdown":"https://newruntime.com/posts/ox-alpha-tops-opencode-usage-data.md","json":"https://newruntime.com/posts/ox-alpha-tops-opencode-usage-data.json"}}