OpenGPTEvidence-based model decisionsStarting candidate 1
StableClaude Sonnet 5
claude-sonnet-5AnthropicUser preference · #38
05 · TASK RANKING
Customer support
Clear, safe, policy-aware replies to common requests.
- Official version
- 3
- Public evidence
- 1
- Data cutoff:
- Why these candidates
- Begin with balanced and enterprise-oriented models, then score policy adherence, empathy, and escalation on your cases.
- What remains uncertain
- Public preference data does not test your policies, integrations, language mix, or regulated obligations.
- 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 Terra
gpt-5.6-terraOpenAINo comparable public result is currently mapped to this exact version.
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.⌄
Claude Sonnet 5
- Source
- LMArena ↗
- Source rank
- #38
- Source value
- 1461
- Mapping reviewed
GPT-5.6 Terra
No comparable public result is currently mapped to this exact version.
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.
Public preference data does not test your policies, integrations, language mix, or regulated obligations.
The evaluation opens with this task template and the first two selected models. You can edit every task before collecting answers.