Chain-of-thought reasoning benchmark
Transparent benchmarking for machine reasoning
Zeta Reason evaluates how large language models think — not just whether they provide the right answer. Capture chain-of-thought traces and score models across accuracy, calibration, robustness, and reasoning integrity.
30+ metrics
Accuracy, calibration, path quality
Multi-model
OpenAI, Anthropic, Google
JSON-first
FastAPI backend, React/Tailwind UI
| Model | ACC | Brier | PFS | USR |
|---|---|---|---|---|
| Model A | 0.82 | 0.09 | 0.91 | 0.03 |
| Model B | 0.79 | 0.11 | 0.76 | 0.07 |
| Model C | 0.85 | 0.14 | 0.63 | 0.12 |
Zeta Reason surfaces calibration, path faithfulness, and unsupported step rate — showing how models actually think.
Why Zeta Reason?
Zeta Reason focuses on chain-of-thought reasoning and provides a multi-dimensional understanding of model behavior beyond accuracy.
Go beyond accuracy
Capture chain-of-thought traces and evaluate coherence, calibration, robustness, and faithfulness — not just final answers.
Multi-dimensional metrics
ACC, Brier, ECE, path faithfulness, unsupported step rate, and robustness metrics in one place.
High-stakes ready
Designed for teams deploying LLMs into finance, healthcare, legal, and policy environments where auditability is critical.
Core metrics for reasoning quality
Zeta Reason organizes evaluation into core, reasoning, and robustness metrics — giving you visibility into model behavior instead of a single number.
Core
- ACC — Answer accuracy
- Brier, ECE — Calibration
- $/ok, Tok/ok — Cost & efficiency
Reasoning
- PFS — Path Faithfulness Score
- USR — Unsupported Step Rate
- PVS — Process Validity Score
Robustness & Context
- AR@ε — Adversarial robustness
- DSI@k — Distraction Sensitivity
- CR@k / CP@k — Context recall & precision
Open-source core + enterprise extension
Zeta Reason is free and open-source for the research community, with an optional enterprise layer for teams needing collaboration, governance, and compliance.
Open-Source Core
- Python + FastAPI backend
- JSON-first pipelines
- React/Tailwind dashboards
- MIT-licensed
Enterprise Extension
- Team workspaces
- Recurring evaluation schedules
- Dataset & results versioning
- Compliance-ready audit logs
Built for researchers, enterprises, and regulators
Zeta Reason supports evaluation for research, applied AI, and emerging governance work.
AI Research Labs
Reasoning benchmarks for papers, ablations, and new model families.
Enterprise AI Teams
High-trust evaluation for production AI, safety reviews, and risk committees.
Regulators
Vendor-neutral metrics supporting AI safety and certification.