Cloudflare Decision Index 0.2.1: CommonsenseQA
We show this table for reference; we do not rank on it.
Published Cloudflare and community decision-model configurations.
Evaluation results published by Cloudflare and upstream community contributors.
accuracy on Cloudflare Decision Index 0.2.1: CommonsenseQA — October 1, 2026 capture
We mirror the published accuracy view for Cloudflare Decision Index 0.2.1: CommonsenseQA. Jev leads the public snapshot at 87.5%. We do not use these results to rank models overall.
1 configurationsDecision ModelsDated mixed-source configurationsDisplay onlyUpdated October 1, 2026 capture
accuracy table (1 configurations)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | JevTypeSafeUpstream community result; Hosted API (closed); 38/38 index tasks; median 524.1 ms; p95 536 ms | 87.5% | Not reported | Unknown |
How to read this source comparison
The source combines Cloudflare self-reported Clef runs with upstream community configurations. Each row retains its source engine and evidence label; model names alone do not establish equivalent serving settings.
The 0.2.1 composite uses 38 panel benchmarks grouped into five weighted areas. It applies chance correction; ForecastBench uses its Brier transformation. Additional task views retain the source metric and panel-inclusion metadata. The snapshot lists 48 task metrics, while the launch refers to 43 evaluations including latency rows.
Clef and Clef-Flash each cover 36 of 38 index tasks; HLE and iSarcasmEval are missing. Missing values are not inserted as zero. The composite is retained as published without recomputing it or filling gaps.
Community results use the upstream September 28 snapshot, which declares one NVIDIA RTX PRO 6000. Cloudflare run hardware is not established by this artifact. Latency comparisons across these configurations do not isolate model speed. The October 1 date marks capture, not evaluation.
These views remain separate from JevBench and canonical provider benchmark results. They do not enter overall or category rankings. Equal scores do not establish statistical ties.
Freshness and provenance
Version
Cloudflare comparison on Decision Index 0.2.1
Refresh cadence
Reviewed dated source capture
Staleness state
Dated mixed-source configurations
Question availability
Upstream tasks and terms; aggregate scores only
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does Cloudflare Decision Index 0.2.1: CommonsenseQA measure?
Published Cloudflare and community decision-model configurations.
Which model leads the published Cloudflare Decision Index 0.2.1: CommonsenseQA snapshot?
Jev currently leads the published Cloudflare Decision Index 0.2.1: CommonsenseQA snapshot with 87.5% accuracy. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Cloudflare Decision Index 0.2.1: CommonsenseQA?
The October 1, 2026 capture snapshot contains 1 AI models.
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