Kaelum Bench v0.2 · Public Calibration
gemini-3.5-flash
HGB Reporting · Run evidence
Provisional calibration result — not a verified v1 result.
Configuration-specific evidence for a single published run. It is not a statistical ranking and is not an overall score.
Run identity
Model and configuration
- Model display name
- gemini-3.5-flash
- Requested model ID
- google/gemini-3.5-flash
- Provider
- Google Vertex AI
- Reasoning configuration
- high
- Suite
- HGB Reporting
- Validity
- Provisional
Published score
Scoring evidence
- Score
- 554.3 / 600
- Percentage
- 92.4%
- Scoring method
- Deterministic
- Comparison protocol
- Configuration-specific
- Tool access
- None
- Published total cost
- $0.9205
Usage
Tokens and execution
- Input tokens (tested model)
- 77,165
- Output tokens (tested model)
- 89,413
- Total tokens (tested model)
- 166,578
- Attempted tasks
- 60 / 60
- Valid responses
- 60 / 60
- Invalid JSON
- 0
- Schema failures
- 0
- Provider failures
- 0
- Missing responses
- 0
Release provenance
Versioned run evidence
- Benchmark ID
- FMB-KNOW-ACC-HGB-02
- Benchmark version
- 0.2.0-dev
- Scorer ID
- fmb-live-scorer-v1
- Started at
- Completed at
- Run ID
- 57d6b8a9-1f29-54b7-9af3-c43155568ea9
- Signed release ID
- 82d3a8e7-8cba-42c0-a30c-8cf7e38256aa