After last week's DeepSeek price increase and the complete failure of OpenCode's "Project Cheapseek", users—including me (and I still haven't resubscribed)—were cancelling their subscriptions like crazy. Across Reddit and Discord, the community felt genuinely cheated. Not only had everyone's favourite coding model become significantly more expensive overnight, but OpenCode's included usage allowance was slashed from $60 down to just $15. When you factor in the doubled token prices alongside the crushed quota, it amounted to an effective 92.5% reduction in real-world value. OpenCode was in full damage-control mode, desperate to stop the subscriber exodus.
Their first band-aid, Muse Spark 1.2, briefly looked like a solid contributor alternative—until strict region restrictions locked out international users, privacy concerns cropped up over data harvesting, and the model proved frustratingly unstable in long sessions. Then came Hy3 from Tencent, backed by an aggressive 8x usage multiplier to calm the pitchforks. But is Hy3 actually a DeepSeek-grade reasoning and coding model? Sadly, not even close.
And then, when morale was at an absolute low, the unexpected happened. An anonymous model tagged stealth/ox-alpha (or simply 0x Alpha) quietly surfaced on OpenCode and OpenRouter. No keynote, no pre-announcement hype, and zero developer branding attached. Just a stealth drop boasting a staggering 1-million-token context window, 131K output capacity, full multimodal support, and a price tag of exactly $0 with Zero Data Retention.
As I've said before, I have zero brand loyalty when it comes to AI models. If something lands in my terminal that writes clean TypeScript, doesn't invent non-existent APIs, and saves my wallet from getting rinsed, it earns an instant spot in my daily workflow. 0x Alpha didn't just plug the hole left by DeepSeek—it might just be OpenCode's unlikely savior.
Why 0x Alpha Calmed the Storm
Within hours of dropping, discussions on r/OpenCode and developer forums pivoted from angry cancellation receipts to genuine disbelief. Unlike the rushed alternatives that preceded it, 0x Alpha immediately demonstrated frontier-class coding behavior:
- It's Completely Free (For Now): Priced at $0/M tokens during its preview on OpenCode and OpenRouter, eliminating the token-anxiety of burning through a depleted $15 quota.
- Zero Data Retention: Unlike Muse Spark 1.2 which raised immediate data-privacy red flags, OpenCode explicitly flagged 0x Alpha with Zero Data Retention (ZDR) guarantees.
- Immense 1M Context: A massive 1,048,576 token window with 131,072 max output tokens, giving it the headroom to ingest entire codebases without aggressive chunking.
- Real Reasoning Power: It actually follows instructions and handles multi-file refactors without degrading into repetitive loops.
Real-World Coding & Agentic Performance
Synthetic benchmarks mean very little once you turn an agent loose on a messy repository with obscure configurations and strict lint rules. Here is how 0x Alpha holds up in practical, day-to-day coding:
1. Grounding & Hallucination Resistance
DeepSeek v4 preview earned a reputation for being brilliant yet eccentric—confidently fabricating utility functions, modifying instruction files, or leaving stray temporary files scattered around. 0x Alpha stays remarkably grounded. It inspects existing type definitions, respects architectural constraints, and writes drop-in code that compiles on the first pass.
2. Monorepo Refactoring & Context Retention
Once context stretches past 60,000 tokens, cheaper models like Hy3 begin to drift, dropping imports or forgetting initial prompt requirements. 0x Alpha maintains high recall across its entire context window. You can feed it an entire TypeScript monorepo alongside runtime logs, and it tracks cross-package dependencies without hallucinating exports.
3. Tool Calling in Agent Loops
When running agentic loops in OpenCode or terminal coding setups, tool calling reliability is non-negotiable. A malformed JSON string or invalid bash syntax halts the whole run. 0x Alpha executes multi-step file reads, patches, and command invocations with precision, making it an ideal drop-in executor.
Who Built It? The GLM-5.3 Mystery
The provider behind 0x Alpha is officially listed as "Unknown". In the current AI race, stealth deployments have become the standard playbook for frontier labs to test weights in the wild before an official launch.
Naturally, the community wasted no time fingerprinting the model:
- The Leading Hypothesis (~90% Confidence): Independent technical fingerprinting—analyzing tokenizer byte boundaries, vocabulary distribution, and video-encoder signatures—points almost conclusively to 0x Alpha being an unreleased build of Zhipu AI's GLM-5.3. Zhipu has been on a tear matching top-tier models, and a 1M multimodal flagship aligns seamlessly with their release cycle.
- Other Speculations: Early forum theories tossed around Xiaomi's unreleased MiMo v3 or an experimental Qwen 3.8 fork, but the tokenizer characteristics and vision architecture match the GLM family almost point-for-point.
How I Route Models in OpenCode Now
The arrival of 0x Alpha completely resets the economics of daily AI development. Here is how my setup looks today:
- High-Context Exploration & Bug Triage: 0x Alpha handles full-repo analysis, log ingestion, and exploratory architecture queries where massive context is mandatory.
- Heavy Agent Refactoring: For long-running autonomous tasks in OpenCode, 0x Alpha is my primary workhorse—saving paid credits while avoiding the hallucination traps of cheaper alternatives.
- Nuanced Planning & Edge Cases: Claude 3.7 / Opus remains the fallback planner for hyper-critical architectural decisions, but 0x Alpha does 80% of the heavy lifting.
Technical Breakdown & Specifications
For those interested in the engineering under the hood, here is the technical profile deduced from API probes, tokenizer analysis, and platform metadata:
- Context Window: 1,048,576 tokens (~1M tokens) with long-context RoPE (Rotary Position Embedding) base frequency scaling ($10^7$ base theta).
- Max Output Ceiling: 131,072 tokens per generation request, enabling full-file rewrites without premature stream cuts.
- Tokenizer & Vocabulary: 151,643 vocabulary size, employing the exact byte-level Byte-Pair Encoding (BPE) merge table characteristic of the Zhipu GLM-5 family.
- Multimodality: Native support for text, high-resolution images, and video frames via a unified vision-language encoder pipeline (matching the CogVLM / GLM-5V architecture).
- Estimated Architecture: Large-scale Mixture-of-Experts (MoE) with fine-grained routing and sparse activation (~1.8T total parameters / ~64B active per token).
- Privacy & Hosting: Zero Data Retention (ZDR) policy enabled on OpenCode proxy endpoints during the preview window.
The Verdict
After the chaos of DeepSeek's price hike, the crushed $15 subscription limits, and the disappointment of half-baked backups like Hy3 and region-locked Muse Spark, 0x Alpha couldn't have arrived at a better moment. It gives developers a genuinely capable, free, 1-million-token frontier model that turns OpenCode back into a powerhouse.
Bottom line: If you paused or cancelled your OpenCode setup last week, point your agent at stealth/ox-alpha while the free preview is running. It's the real deal.