Reasoning model · free to try
Meet Ox Alpha.
A frontier reasoning model built for code, long-horizon agents, and a million tokens of context. Fast, capable, and free to try.
3
input modalities
text · image · video
Reasoning
Thinks before
it speaks.
Ox Alpha is a reasoning-first model. It plans, checks itself, and only then answers — so hard problems get worked through instead of guessed at.
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Multi-step logic
Math, systems design, proofs, tricky edge cases — worked through, not pattern-matched.
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Visible thinking
Watch the reasoning stream in before the final answer lands.
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Production-grade output
Tuned for real workloads, not party tricks.
1,048,576
A million tokens of memory.
Paste an entire codebase, a 500-page spec, or a week of transcripts. Ox Alpha keeps all of it in mind while it works — no chunking, no retrieval tricks, no losing the thread.
Capabilities
Built for real work.
Everything a frontier model should do — and a few things most of them can't.
Long-horizon coding
Designed for sustained software engineering: debugging, refactoring, and reasoning across large codebases without losing context.
Sees what you see
Text, images, and video in. Screenshots, diagrams, and UI — reasoned about, not just described.
Tool calling
Native tools and tool_choice support for agents that actually do things.
Structured output
Ask for JSON and get JSON — schema-shaped responses via response_format.
Sustained agentic work
Keeps its footing across long, multi-step tasks instead of drifting off halfway.
In action
Watch it reason.
A reasoning model shows its work. Here's what a typical exchange looks like.
oxalpha.com/chat
Why does this Python function sometimes return stale data?cache = {}; def get(k): return cache.get(k) or fetch(k)
Ox Alpha
ThinkingTwo issues: or treats falsy cached values (0, "", []) as misses and re-fetches; and nothing ever writes to cache, so the "stale" data must come from fetch itself — likely a module-level connection reused across requests. Check both.
The bug is in the or: any falsy cached value is treated as a miss. Also, cache is never populated. Use an explicit membership check and store results:
def get(k): if k not in cache: # explicit miss check cache[k] = fetch(k) # actually populate return cache[k]
If results still look stale, the culprit is fetch reusing a connection with read-consistency lag — want me to look at it?
Benchmarks
Frontier reasoning. Top of the table.
On an independent run of 10 real-world coding tasks, Ox Alpha solved 8 — ahead of every frontier model it was lined up against.
80%
Ox Alpha
8 of 10 tasks solved
52%
GPT-5
gpt-5.6-sol [max]
62%
Grok 4
grok-4.6 [xhigh]
Independent community benchmark — 10 real-world coding tasks. Reference models: passes out of 4 attempts per task. Ox Alpha: pass/fail. Highlighted row: the task every reference model scored 1/4 or worse on — Ox Alpha solved it. Third-party data, small sample — directional, not definitive.
Full breakdown & methodology Ox Alpha vs Fable 5 Ox Alpha vs GLM-5 Ox Alpha vs GPT-5 Ox Alpha vs Grok 4
Try it on
Pick a task. Or bring your own.
How it works
Zero to answer in seconds.
Get started in seconds — no account needed.
01
Describe the task
Type a goal in plain English. Paste the whole file, log, or document — context is not a problem.
02
Ox Alpha reasons
It thinks through the problem step by step, then streams back its answer in real time.
03
Review & iterate
Refine with follow-ups. The whole conversation stays in its 1M-token memory.
FAQ
Questions, answered.
What is Ox Alpha?
Ox Alpha is a frontier reasoning model with a 1M-token context window, designed for coding, sustained agentic work, and production workloads. It plans before it answers and streams its response in real time.
What is oxalpha.com?
oxalpha.com is a free, no-login chat interface for the Ox Alpha model. Open the site and start chatting right in your browser — no account, no subscription.
Is Ox Alpha really free?
Yes. Chatting with Ox Alpha here is completely free — no hidden fees, no credit card, no account.
How large is Ox Alpha's context window?
Ox Alpha has a 1,048,576-token context window — around a million tokens. That's large enough to hold entire codebases, long specifications, or hours of transcripts in a single prompt, with no chunking or retrieval workarounds.
What is Ox Alpha good at?
It shines at long-horizon software engineering, complex reasoning, and workflows that combine text with visual context. It has a 1M-token context window and supports tool calling and structured output.
Is my conversation data private?
oxalpha.com doesn't require personal information and doesn't store your conversations on our servers. Messages are processed by the upstream model API to generate responses. As with any AI service, avoid sharing sensitive data.
Can I use Ox Alpha on mobile devices?
Yes. oxalpha.com works in any modern browser — on phones, tablets, and desktops alike.
Still curious? Get in touch.
What is Ox Alpha
oxalpha.com is a fast, free way to chat with Ox Alpha — a frontier reasoning model with a 1M-token context window — right from your browser. No account needed, no subscriptions, no barriers.
Ox Alpha is built for serious work: long-horizon software engineering, complex multi-step reasoning, and tasks that mix text with visual context. With a 1,048,576-token context window, it can hold entire codebases, papers, or transcripts in mind while it works.
The interface is clean and simple. Type a question or prompt, and Ox Alpha reasons through it and responds in real time. Keep asking follow-ups, start new topics, or stress-test it on your hardest problems.
oxalpha.com is a separate service that provides access to the Ox Alpha model. No personal information is required, and we don't store your conversations on our servers.
Try it before the internet figures out what it is.
Free to try. No account, no card, no waitlist.
Works on all devices — mobile, tablet, desktop