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Reviews and evidence

Ox Alpha · Community source · Independent measurement

OpenCode Community Concurrency Experiment: About 40 Ox Alpha Agents

Ethan reports that running about 40 Ox Alpha agents simultaneously during the early free period produced about 7 tasks per worker per hour, 26.8 seconds P50 latency, and 100% traceable code citations; this is a single-user load observation, not a service SLA.

Unverified: the original source could not be rechecked. Historical figures below are not current verified results.

Community sourceIndependent measurementEdited 2026-09-20

Test conditions

Model/version
Ox Alpha; exact snapshot follows the source
Source date
2026-08-22
Method/client
Source-specific public post; client and provider conditions follow the source
Review state
Dynamic source not reopened on 2026-09-20; values remain unverified

Key data and applicable tasks

One-sentence takeaway

Ethan reports that running about 40 Ox Alpha agents simultaneously during the early free period produced about 7 tasks per worker per hour, 26.8 seconds P50 latency, and 100% traceable code citations; this is a single-user load observation, not a service SLA.

Test environment

  • Entry point: OpenCode CLI / opencodeCLI community discussion; the exact version, model ID, and hardware were not disclosed.

  • Target: Testing maximum concurrency with about 40 Ox Alpha agents working at the same time.

  • Tasks: The comment reports only tasks/hour/worker; it does not publish a task set, repository, prompt, or completion-evaluation script.

  • Logs: No raw logs, request timestamps, or complete tool traces were attached.

Raw results

WorkersTasks / hour / workerLatency P50
42~726.8s

The author also said that the returned code citations were 100% real and that every failed turn was attributable to their own orchestrator rather than Ox Alpha. Another commenter later said that server congestion made the service unusable for meaningful work, showing that the result is highly time-window dependent.

Reproduction steps

  1. Fix the OpenCode version, Ox Alpha model entry point, concurrency scheduler, task set, repository commit, and permissions.

  2. Increase workers stepwise from 1, 4, 8, 16, 32, and 42, recording queue time, first token, total latency, disconnects, automatic retries, and successful completion.

  3. Save tool calls and citation targets for every task, and manually verify whether each citation is real and supports the conclusion.

  4. Count model errors, orchestrator errors, and network/provider errors separately; repeat across time windows and report P50/P95 with confidence intervals.

  5. Do not extrapolate single-user free-period data into a concurrency commitment by OpenCode or the provider.

Conclusion and applicability boundary

This report is a useful starting point for reproducing a high-concurrency agent workflow and also suggests that throughput and correctness should be measured separately for Ox Alpha during a high-load free period. It cannot establish that 42 workers will work for all accounts, time windows, tasks, or later versions.

Limitations

  • No prompt, task, hardware, client version, or raw logs are provided.

  • “100% of code citations were real” has no sample size or decision method.

  • Load, the free policy, and server capacity were all short-term conditions.

What this supports

  • Ethan reports that running about 40 Ox Alpha agents simultaneously during the early free period produced about 7 tasks per worker per hour, 26.8 seconds P50 latency, and 100% traceable code citations; this is a single-user load observation, not a service SLA.

What this does not support

  • “OpenCode Community Concurrency Experiment: About 40 Ox Alpha Agents” lacks a fully reproducible harness, repeats, or current-version snapshot (source date the source date); it cannot generalize to a unified rank, current price, or production performance.

Method, limits, and reproduction

The figures, task set, reasoning tier, and client conditions apply only to the listed source and collection snapshot. Different versions, harnesses, or providers must not be compared directly; undisclosed parameters remain unknown.

For a reproduction, fix the model version, provider or client, reasoning tier, tools, task-set version, sample count, and collection date, and record failures, retries, and human corrections. Full steps are in the source notes below.

Original source

Reddit · u/Ethan (comment author) · Original publication date 2026-08-22 · Site edit date 2026-09-20

Open original source

Ox Alpha

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Read the full analysis

Overview · English

Ox Alpha Explained: From Stealth Preview to GLM-5.3-Flash

Ox Alpha was the anonymous name for Z.ai GLM-5.3-Flash. Here are the verified specs, access boundaries, preview timeline and safe testing decision.

Related reviews

OpenCode Official Observation: 26T Ox Alpha Tokens in Four DaysOpenCode reports that Ox Alpha processed 26T tokens in four days, showing heavy real-world use of the preview but saying nothing by itself about model quality, individual quotas, or availability.OpenCode Go Entry: Free Period and Load FeedbackOpenCode announced Ox Alpha on OpenCode Go for six days of near-unlimited free use outside Go usage; public replies also report mid-run stops, roughly 20 tokens/s, and overload, so convenience and service stability must be evaluated separately.Ox Alpha vs. DeepSeek V4 Flash: Code Cleanup and Token-Use Experience ComparisonAn OpenCode user says Ox Alpha cleaned up the results produced by DeepSeek V4 Flash in their project using about one-fifth as many tokens, while the same discussion includes counterexamples saying Ox was worse at logic, unsafe Rust, and assembly; the conclusion depends heavily on task type.Cline Test: Ox Alpha and Fable Both Fixed a Real Repository Bug, with About 3x Less OutputCline says Ox Alpha and Fable both correctly fixed one real bug in its repository; Ox Alpha used about three times fewer output tokens and repeated less reasoning. This is an efficiency signal worth retesting, not a general capability ranking.Custom-language long-task workflowGive Ox Alpha documentation for a custom language that cannot be in its training data, then implement the game and language feature in separate stages to test document reading, sustained coding, and regression verification.Stalled-agent triageWhen Ox Alpha appears stuck, first separate service-side errors from local scanning or MCP blocking, then use .ignore, snapshot: false, and temporary MCP removal to narrow the cause.Reference-driven frontend UI workflowWhen using Ox Alpha for frontend UI, providing actionable browser, animation, and aesthetic tools first, then having the model read reference sites, is usually more reusable than simply asking it to “make a beautiful page.”Ox Alpha on OpenCode: Long Context and Free Preview ConfigurationOpenCode presented Ox Alpha as a one-week free stealth preview with 1M context, multimodality, and zero data retention, making it useful for long-task prototypes but not a long-term pricing or SLA commitment.