KernelBench cuda · RTX PRO 6000

MegaQwen Decode Qwen 3.8 Max

This run produced no agent output of any kind. The or-fable session initialized inside the agent container and its very first model call was answered by a synthetic assistant message reading "API Error: 402 Insufficient credits. Add more using https://openrouter.ai/settings/credits"; the session terminated on that same turn with terminal_reason=api_error and api_error_status=402. Zero input tokens, zero output tokens, zero cost, zero tool calls, and 2 seconds of wall clock. No solution.py, no CUDA sidecar, no scratch file, and no check or benchmark log exists anywhere in the archive. The harness failure classifier's label provider_insufficient_credits is accurate, and result.json correctly records has_solution=false. There is no kernel to grade, so no correctness, reward-hack, caching, CUDA-graph, or input-identity assessment is possible or asserted; contamination and template-integrity checks pass vacuously and byte-exactly respectively. The run is nonpublishable and must be excluded from any pass-rate denominator that counts only genuine model attempts; it is a provider-side truncation before the first token, not a model failure on the problem.

20260805_174936_or-fable_qwen_qwen3.8-max_03_megaqwen_decode