OpenGPTEvidence-based model decisionsStarting candidate 1
StableGPT-5.6 Luna
gpt-5.6-lunaOpenAICost per successful task · #5
10 · TASK RANKING
Fast production workflows
High-volume classification, extraction, routing, and short responses.
- Official version
- 3
- Public evidence
- 1
- Data cutoff:
- Why these candidates
- Start with official fast or lightweight variants, then measure latency, throughput, retries, and output validity in your region.
- What remains uncertain
- OpenGPT does not currently publish a comparable latency history for every provider.
- Public evidence
- Cost per successful task
- 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
StableGemini 3.1 Flash-Lite
gemini-3.1-flash-liteGoogleNo comparable public result is currently mapped to this exact version.
Starting candidate 3
PreviewDeepSeek V4 Flash
deepseek-v4-flashDeepSeekNo 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.⌄
GPT-5.6 Luna
- Source
- LiveBench ↗
- Source rank
- #5
- Source value
- $0.202
- Mapping reviewed
Gemini 3.1 Flash-Lite
No comparable public result is currently mapped to this exact version.
DeepSeek V4 Flash
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.
OpenGPT does not currently publish a comparable latency history for every provider.
The evaluation opens with this task template and the first two selected models. You can edit every task before collecting answers.