Pearl Research Labs
Explore Pearl Research Labs models on TrustedRouter with current routes, token pricing, policy sources, privacy posture, regional availability, and API support.
Pearl Research Labspearl
No provider claim
These privacy labels describe Pearl Research Labs, the upstream model provider. ZDR is a retention policy; verified confidential inference additionally requires attested provider compute and end-to-end encryption.
| Provider | Pearl Research Labs |
|---|---|
| Routing status | Active |
| Provider website | https://pearlresearch.ai/ |
| Models | 5 public models |
| Credits routes | 5 |
| Zero data retention | no |
| Verified confidential inference | Not verified |
| Policy note | Pearl Research states that it retains operational metadata for security and does not train on customer data. No public contractual zero-data-retention terms are linked, so TrustedRouter classifies these routes as Standard and excludes them from ZDR, confidential-compute, and E2EE routing. Policy source |
Measured performance
26 samplesContinuously sampled across Pearl Research Labs's routed models: p50 TTFT, effective throughput, and success rate. Effective throughput uses provider-reported output tokens over complete request time. Unsupported route and probe-configuration rows are separated from provider downtime. No prompt or output content stored.
| p50 TTFT | 1938 ms |
|---|---|
| Effective throughput | 156 tok/s n=1 |
| Uptime | 100.00% |
| Model | p50 TTFT | Effective throughput | Uptime | Config excluded | Availability samples |
|---|---|---|---|---|---|
| deepseek/deepseek-v4-flash-0731 | 1014 ms | 156 tok/s n=1 | 100.00% | — | 4 |
| qwen/qwen3.8-27b | 1517 ms | — | 100.00% | — | 3 |
| z-ai/glm-5.3 | 1938 ms | — | 100.00% | — | 6 |
| qwen/qwen3.8-flash-next | 1978 ms | — | 100.00% | — | 6 |
| z-ai/glm-5.3-flash | 2461 ms | — | 100.00% | — | 7 |
Pearl Research Labs performance history · Full provider & model leaderboard.
Models served by Pearl Research Labs.
Each row links to pricing, provider, benchmark, and API pages for the model.
| Model | AI IQ | Context | Input | Cached input | Output |
|---|---|---|---|---|---|
deepseek/deepseek-v4-flash-0731DeepSeek: DeepSeek V4 Flash 0731 |
— | 1,048,576 | $0.0633/1M | $0.01688/1M | $0.17935/1M |
qwen/qwen3.8-27bQwen: Qwen3.8 27B |
IQ 110#60 | 262,144 | $0.211/1M | $0.05275/1M | $2.11/1M |
qwen/qwen3.8-flash-nextQwen/Qwen3.8-Flash-Next |
— | 262,144 | $0.1477/1M | $0.015825/1M | $0.47475/1M |
z-ai/glm-5.3Z.ai: GLM 5.3 |
IQ 123#18 | 1,048,576 | $1.1605/1M | $0.24265/1M | $3.6925/1M |
z-ai/glm-5.3-flashZ.ai: GLM 5.3 Flash |
IQ 116#40 | 1,048,576 | $0.07385/1M | $0.015825/1M | $0.2532/1M |
Questions
Does Pearl Research Labs have zero data retention?
TrustedRouter does not currently mark Pearl Research Labs as provider-level zero data retention. Use trustedrouter/zdr or provider.min_privacy=zdr to select a different eligible route, and review the linked policy source for changes.
Is Pearl Research Labs end-to-end encrypted?
TrustedRouter does not currently mark Pearl Research Labs as end-to-end encrypted at the provider boundary. The TrustedRouter gateway is still attested, but the selected provider normally receives the request in order to run the model. Use trustedrouter/e2e for the stronger route requirement.
Which Pearl Research Labs models are available through TrustedRouter?
This page currently lists 5 public Pearl Research Labs models, with live pricing, route count, context length, measured performance when available, and links to each model's provider and benchmark pages.