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Ox Alpha: 100만+ 컨텍스트의 스텔스 멀티모달 모델, 지금 무료

Ox Alpha(stealth/ox-alpha)는 OpenRouter에 등장한 새로운 멀티모달 AI 모델입니다. 105만 토큰 컨텍스트 윈도우, 무료 프리뷰 가격, 장기 에이전틱 코딩 특화. 알려진 모든 정보를 정리했습니다.

작성 ZNIX Team · AI 비디오 리서치 & 모델 벤치마킹
게시일 2026-08-22

Ox Alpha: The Stealth Multimodal Model With 1M+ Context That's Free Right Now

A new multimodal AI model called Ox Alpha has appeared on OpenRouter under the stealth/ox-alpha namespace — and it's generating serious buzz in the developer community. With a 1.05 million token context window, multimodal input (text + image), and a $0 price tag during its preview phase, Ox Alpha is positioning itself as a serious contender in the long-horizon reasoning and agentic coding space.

Here's everything we know about Ox Alpha so far, how it compares to established models like Gemini 3.7 Flash and DeepSeek V4 Flash, and what its emergence means for the AI landscape in 2026.

What Is Ox Alpha?

Ox Alpha is a multimodal large language model currently available through OpenRouter under the stealth/ox-alpha identifier. The "stealth" prefix indicates the model's developer has chosen to remain anonymous during this early access phase — a strategy we've seen before with pre-announcement model drops.

Based on its OpenRouter listing and third-party tracking sites, here are the confirmed specifications:

SpecificationDetail
Model IDstealth/ox-alpha
Context Window1,050,000 tokens (1.05M)
ModalitiesText + Image input → Text output
Pricing (current)$0 / M tokens (free preview)
Primary FocusLong-horizon coding, agentic workflows, visual context
AvailabilityOpenRouter API

Why Ox Alpha Matters: The 1M+ Context Advantage

The headline feature is the 1.05 million token context window. To put this in perspective:

  • GPT-4o: 128K context
  • Claude 4 Sonnet: 200K context
  • Gemini 3.7 Flash: 1M context
  • Ox Alpha: 1.05M context

A context window this large means Ox Alpha can ingest entire codebases, lengthy documentation sets, or hours of transcribed meetings in a single prompt. For agentic coding tasks — where an AI agent needs to understand dozens of interconnected files before making a change — this is a genuine architectural advantage over models that require chunking or retrieval-augmented generation (RAG) workarounds.

Multimodal Capabilities: Visual Context for Coding

Ox Alpha accepts both text and image inputs. While many multimodal models focus on image description or visual Q&A, Ox Alpha's positioning suggests a different priority: visual context for development workflows.

Practical use cases include:

  • Screenshot-to-code: Feed a UI screenshot and get implementation code that matches the visual design
  • Diagram interpretation: Parse architecture diagrams, flowcharts, or ERDs and generate corresponding code
  • Debug from visuals: Show an error screenshot or broken rendering and get targeted fixes
  • Design-to-prototype: Convert Figma exports or mockups into working frontend components

This visual-to-code pipeline is exactly the workflow that powers modern AI generation platforms — where multimodal understanding bridges the gap between creative intent and technical execution.

Ox Alpha vs. Gemini 3.7 Flash vs. DeepSeek V4 Flash

OpenRouter's comparison pages pit Ox Alpha against two established models. Here's how they stack up on paper:

FeatureOx AlphaGemini 3.7 FlashDeepSeek V4 Flash
Context1.05M1M128K
MultimodalText + ImageText + Image + Audio + VideoText + Image
Price (input)$0 (preview)~$0.075/M~$0.05/M
Agentic focusYes (primary)General purposeGeneral + coding
Benchmark scoresNot yet publishedPublishedPublished

Key takeaway: Ox Alpha's edge is its agentic/long-horizon specialization and free preview pricing. Gemini 3.7 Flash remains the more versatile multimodal model (audio + video input). DeepSeek V4 Flash offers the best price-performance for general coding at scale. The right choice depends on your workload.

The "Stealth" Strategy: Why Anonymous Model Drops Are Trending

Ox Alpha isn't the first model to launch under a stealth identity. This approach lets developers:

  • Gather real-world usage data before committing to a brand and pricing structure
  • Avoid benchmark gaming — no one can overfit to a model whose architecture is unknown
  • Build organic community buzz without a marketing budget
  • Iterate rapidly without public versioning expectations

The risk for users: no published benchmarks, no SLA, and no guarantee the free tier persists. Treat Ox Alpha as an exciting experiment, not a production dependency — at least until the developer reveals themselves and publishes formal evaluations.

How to Try Ox Alpha Today

Since Ox Alpha is available through OpenRouter, you can start using it immediately with any OpenRouter-compatible client:

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "stealth/ox-alpha",
    "messages": [{"role": "user", "content": "Explain this codebase architecture"}]
  }'

For multimodal input, include image URLs in the content array using the standard OpenAI-compatible format.

What This Means for AI-Powered Creative Tools

The emergence of models like Ox Alpha — with massive context windows and visual understanding — signals where the industry is heading: AI systems that understand your entire project context, not just a single prompt.

For creative workflows, this is transformative. Imagine describing a video concept, providing reference images, and having the model understand your full creative brief — brand guidelines, previous outputs, target audience — all within a single context window. That's the future that multi-model platforms like ZNIX are building toward: routing your request to the best model for each task, whether that's a video generation model like Seedance 2.0 or a reasoning model like Ox Alpha for planning and scripting.

If you're exploring AI-powered content creation, our free tier includes 50 credits to test 10+ video generation models — no credit card required.

FAQ

Is Ox Alpha really free?

Yes — as of August 2026, Ox Alpha is listed at $0/M tokens on OpenRouter. This is a preview-phase price and will likely change when the model exits stealth. There is no published timeline for when paid pricing begins.

Who made Ox Alpha?

The developer identity is undisclosed. The "stealth" prefix on OpenRouter indicates an anonymous publisher. No company or research lab has claimed ownership as of this writing.

Can Ox Alpha generate images or video?

No. Ox Alpha is a text-output model. It accepts text and image inputs but does not generate visual content. For AI video generation, dedicated models like Seedance 2.0, Kling 2.1, or Wan 2.1 remain the right tools.

Should I use Ox Alpha in production?

Not yet. Without published benchmarks, an SLA, or a known developer identity, Ox Alpha is best suited for experimentation and evaluation. Monitor OpenRouter for updates on its graduation from stealth status.

Further Reading

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