deepseek/deepseek-v4-flash-0731

Served by CoreWeave (fp8)
b3it

deepseek-v4-flash-0731 is served by 26 providers.

coreweave serves 17 models.

Tracking status

LTprobe failed — This endpoint claims logprob support, but our probe could not obtain usable logprobs. (No logprobs returned)
B3ITretired · no bis — Monitoring was retired: we could not find enough border inputs for this endpoint. (since 2026-09-14)

Drift from baseline

Both signals measure how far this endpoint's behavior has moved from its reference period. LT tracks the average change in the returned tokens' log-probabilities (nats); B3IT tracks the total-variation distance of the border-input votes (0–1). Both should ideally be as close to 0 as possible. Dashed lines mark published changes, labeled with the level shift across them: for LT the mean drift over the 7 days after minus the 7 days before; for B3IT the total-variation shift its detector measured.

Hover a day on either lane, a change mark or an epoch line to read the data behind it.

Detected changes

DateMethodLevel shift

Spend

what OpenRouter billed for tracking this endpoint. Spend recorded since 2026-08-06
Total to date
$0.45
Last 30 days
$0.00034
Queries
61,171
  • B3IT (onboarding)$0.4090%
  • B3IT (monitoring)$0.04510%
  • Vetting$0.00056<1%
Vetting is the one-off probe that checks the endpoint's billed cost against its advertised price. B3IT (onboarding) is the initial border-input search; B3IT (monitoring) and LT are the recurring daily checks.

Timothée Chauvin, Erwan Le Merrer, François Taïani, Gilles Tredan (2026), "Log Probability Tracking of LLM APIs". ICLR 2026. https://arxiv.org/abs/2512.03816

Timothée Chauvin, Clément Lalanne, Erwan Le Merrer, Jean-Michel Loubes, François Taïani, Gilles Tredan (2026), "Token-Efficient Change Detection in LLM APIs". ICML 2026. https://arxiv.org/abs/2602.11083

@inproceedings{
chauvin2026log,
title={Log Probability Tracking of {LLM} {API}s},
author={Timothee Chauvin and Erwan Le Merrer and Francois Taiani and Gilles Tredan},
booktitle={The Fourteenth International Conference on Learning Representations},
year={2026},
url={https://openreview.net/forum?id=hFxivbAgVP}
}

@inproceedings{
chauvin2026tokenefficient,
title={Token-Efficient Change Detection in {LLM} {API}s},
author={Timothee Chauvin and Cl{\'e}ment Lalanne and Erwan Le Merrer and Jean-Michel Loubes and Francois Taiani and Gilles Tredan},
booktitle={Forty-third International Conference on Machine Learning},
year={2026},
url={https://openreview.net/forum?id=7cMlZZYZT0}
}