Datasets:
Trajectory statistics
214,720 attempts across 6,710 tasks of crosscodeeval_v2, kept and excluded, each counted once. Task success counts are in the dataset overview.
| Metric | qwen3-30b-instruct-2507 | qwen3-30b-thinking |
|---|---|---|
| Recorded attempts | 107,360 | 107,360 |
| Median agent turns | 2 | 2 |
| Median input tokens per attempt | 3,865 | 3,723 |
| Median output tokens per attempt | 393 | 1,504 |
| Median agent runtime (seconds) | 6 | 20 |
| Median verifier runtime (seconds) | 1 | 1 |
Medians use recorded measurements only.
Plots
Commands are counted as submitted, not as successful executions.
Per-model plots: qwen3-30b-instruct-2507, qwen3-30b-instruct-2507, qwen3-30b-instruct-2507, qwen3-30b-thinking, qwen3-30b-thinking, qwen3-30b-thinking.
Data
- Summary: overall and per-model statistics.
- Per-task metrics and per-attempt metrics, with nested metrics stored as JSON.
- Provenance: source files and deduplication.
Attempts without a saved conversation: 1; without a verifier reward: 2. Their missing measurements stay empty.
Evaluation settings
Context is the total prompt plus response window for one model call. The response budget includes reasoning tokens and is not a whole-attempt token budget.
| Model | Context tokens (configured) | Intended response tokens per call | Output-limit evidence | Thinking | Sampling |
|---|---|---|---|---|---|
| openai/qwen3-30b-instruct-2507 | 32768 | 8192 | No explicit request cap in sampled saved configs; actual fallback cap unknown | off | {"min_p": 0, "temperature": 0.7, "top_k": 20, "top_p": 0.8} |
| openai/qwen3-30b-thinking | 32768 | 8192 | No explicit request cap in sampled saved configs; actual fallback cap unknown | on | {"min_p": 0, "temperature": 0.6, "top_k": 20, "top_p": 0.95} |
Configured limits are not measurements of token usage. A missing explicit response cap does not mean unlimited generation: the serving context, backend defaults, stopping conditions and task timeouts still apply. Unknown historical settings are not filled from current model defaults.
Historical output-limit bug: the intended per-response limit was stored as top-level max_tokens, but the affected Terminus path did not forward it as llm_call_kwargs.max_tokens. Thus these sampled runs did not request the intended explicit cap. Generation instead depended on the backend's fallback allowance, available context, stopping conditions and agent timeout. The exact fallback limit is not established by the saved configurations; it must not be reported as 8,192 or 16,384 enforced tokens, or as unlimited.
The table reports settings found in 6 sampled saved trial configurations, not an exhaustive audit of every attempt or direct proof of server settings. Historical runs and retries may differ. Sampling values are recorded explicitly rather than inferred from today's model-card defaults. Agent and verifier wall-clock budgets remain task-specific; sampled resolved limits are in settings and evidence. Context is not the sum of tokens across all turns. The current forwarding fix does not retroactively change these pass@k results.