Status: Not supported — reliability gate not met. Frozen before the first call; completed on 12 July 2026.
Do the same ten satisfiable 3-SAT instances produce fewer loud failures when GLM-5.2 receives a 262,144-token completion allowance through SiliconFlow?
This is a reliability follow-up, not a confidence-model test. StreamLake’s endpoint is limited to 128,000 completion tokens, so serving 256K requires a provider change. Any difference from the 32,768-token scout is therefore the joint effect of cap and provider and cannot be attributed to the cap alone.
z-ai/glm-5.2 through OpenRouter.The registered draft requested credential rotation before collection. The user explicitly waived that operational condition and authorized reuse of the existing credential. This did not change any model, provider, prompt, task, token, or scoring condition. The run remained required to stop on a provider mismatch or the ten-call cap.
Report outcomes and spend for all ten calls, plus paired outcome transitions from the 32K scout. The follow-up clears the reliability gate only if no more than two calls fail loudly. Confidence analysis remains unavailable unless the completed calls also contain at least two correct and two silently wrong answers. No focus batch is implied by either condition.
All ten calls ran through SiliconFlow without fallback or automatic retry and stopped at the call cap. Provider-reported spend was USD 0.662540.
| Difficulty | Correct | Silent error | Loud failure |
|---|---|---|---|
| 4.2 | 1 | 0 | 1 |
| 4.8 | 0 | 1 | 1 |
| 5.4 | 0 | 0 | 2 |
| 6.0 | 1 | 1 | 0 |
| 6.6 | 1 | 1 | 0 |
The four loud failures were one 19-bit answer where 20 bits were required and three malformed JSON responses from the API path. No call reached the 262,144-token cap; the longest completed response used 65,967 completion tokens. The reliability gate required no more than two loud failures and therefore failed.
During collection, the scorer was found to reject contiguous bit strings even when exactly 20 bits were present. A tested mechanical re-score changed two such calls from parse failures to correct completions. The genuine 19-bit answer and all API failures remained loud.
Compared with the 32K StreamLake scout, loud failures fell from six to four and truncations fell from four to zero, while API failures rose from one to three. Because provider and token cap changed together, these paired differences cannot be attributed to the cap alone.
The six completed calls contain three correct and three silently wrong answers, including mixed outcomes at difficulties 6.0 and 6.6. That is useful reconnaissance but far too small for a confidence model. No focus batch is authorized by this result.