OpenGPTEvidence-based model decisionsStarting candidate 1
StableClaude Fable 5
claude-fable-5AnthropicUser preference · #1
01 · TASK RANKING
Everyday work
Drafting, analysis, planning, and mixed office tasks.
- Official version
- 3
- Public evidence
- 3
- Data cutoff:
- Why these candidates
- Start with broadly capable models that have current public preference evidence, then test them on your own recurring work.
- What remains uncertain
- A general preference rank cannot predict accuracy on a specialized workflow.
- Public evidence
- User preference
- 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
StableGPT-5.6 Sol
gpt-5.6-solOpenAIUser preference · #11
Starting candidate 3
StableGemini 3.5 Flash
gemini-3.5-flashGoogleUser preference · #17
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.⌄
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.
A general preference rank cannot predict accuracy on a specialized workflow.
The evaluation opens with this task template and the first two selected models. You can edit every task before collecting answers.