Early access
You'd never deploy code without CI. Model CI runs your prompts — your tool schemas, your JSON contracts, your edge cases — against every frontier open-source model, on a schedule. Know which cheap model actually passes your tests, and find out when a provider quietly breaks something before your users do.
A model that tops SWE-bench can still mangle your tool calls or return fenced JSON your parser rejects. The only benchmark that matters is your own suite.
Providers update weights and serving stacks without notice. Tool-calling breaks, output formats shift, reasoning leaks into content — and nothing in your stack notices until production does.
The cheap model might be 90% as good at 10% of the cost — or it might silently fail your hardest 5%. Today you find out by shipping it.
01
20–100 real prompts plus what "correct" means: JSON schemas, required tool calls, must/must-not assertions, multi-turn agent flows.
02
Every model on Dynoyard, executed through the same gateway your production traffic would use — streaming, tool loops, caching and all. Nightly or weekly.
03
A pass-rate and cost report per model, plus regression alerts the moment a passing model starts failing.
Illustrative report for an agentic support workload — yours is built from your suite and your token mix.
| Model | Pass rate | Blended $/M* | Verdict |
|---|---|---|---|
| GLM-5.2 | 96% | $0.77 | ✅ Ready — est. 87% cheaper than current spend |
| Kimi K2.7 | 94% | $0.91 | ✅ Ready |
| Qwen3.7-Max | 89% | $0.68 | ⚠️ Fails 3 tool-loop cases — details inside |
| MiMo V2.5 Pro | 71% | $0.54 | ❌ Fails JSON contract tests |
*Blended rate computed from your suite's actual cached/fresh/output token mix — not list price. Weekly drift line per model, e.g. "Qwen3.7: tool-call formatting regressed on the 2026-07-02 run — we flagged the provider."
Every model on Dynoyard passes a multi-turn agentic conformance suite before we serve it, and re-runs weekly: no reasoning leaks into content, tool loops survive 50 turns, JSON mode stays valid, streams actually stream. Model CI is that same machinery, pointed at your workload. We've caught upstream regressions this way that the providers themselves hadn't announced.
Continuous integration for your model choice: your own eval suite run against every model on Dynoyard on a schedule, with pass-rate and cost reports per model, and regression alerts when a model that was passing starts failing.
Benchmarks test generic ability. Model CI tests your prompts, your tool schemas, your output contracts — the only thing that predicts whether a model switch is safe for your product.
Early access: your first report is free. Ongoing scheduled runs will be priced as a subscription; early-access users lock in founding pricing.
No. Suites are stored encrypted for your scheduled runs only, never used for training, and deleted on request. Same data policy as the gateway.
Single-turn accuracy, strict JSON and structured output, multi-turn tool-calling loops, streaming behavior, and latency and cost per case.
Early access is concierge: send us 20 prompts and your pass criteria, and we'll send back a full catalog report within a week. Five slots a month while we build the self-serve version. No commitment — if the report says "don't switch," that's the report.