OpenGPTEvidence-based model decisionsStarting candidate 1
PreviewGemini 3.1 Pro
gemini-3.1-pro-previewGoogleNo comparable public result is currently mapped to this exact version.
04 · TASK RANKING
Documents & grounded Q&A
Long files, summaries, citations, and answers bounded by supplied text.
- Official version
- 3
- Public evidence
- 1
- Data cutoff:
- Why these candidates
- Compare models positioned for sustained context or enterprise retrieval, then test exact citation and refusal behavior.
- What remains uncertain
- Context-window claims do not establish retrieval quality or faithful use of a long document.
- Public evidence
- General capability
- Data cutoff
Starting candidate
3 / 3Three official versions to test first
Public data narrows the field. It does not replace a controlled test on your own work.
Starting candidate 2
StableClaude Fable 5
claude-fable-5AnthropicGeneral capability · #1
Starting candidate 3
StableCommand A+
command-a-plus-05-2026CohereNo comparable public result is currently mapped to this exact version.
Public evidenceThe models use different public evidence scales. Missing evidence is not treated as zero, and OpenGPT does not combine unlike sources into one score.⌄
Gemini 3.1 Pro
No comparable public result is currently mapped to this exact version.
Claude Fable 5
- Source
- Artificial Analysis ↗
- Source rank
- #1
- Source value
- 60
- Mapping reviewed
Command A+
No comparable public result is currently mapped to this exact version.
A practical starting point, not a universal winnerSelect two or three candidates for a side-by-side public data comparison.
The models use different public evidence scales. Missing evidence is not treated as zero, and OpenGPT does not combine unlike sources into one score.
Context-window claims do not establish retrieval quality or faithful use of a long document.
The evaluation opens with this task template and the first two selected models. You can edit every task before collecting answers.