Databricks
Explore Databricks models on TrustedRouter with current routes, token pricing, policy sources, privacy posture, regional availability, and API support.
Databricksdatabricks
No provider claim
These privacy labels describe Databricks, the upstream model provider. ZDR is a retention policy; verified confidential inference additionally requires attested provider compute and end-to-end encryption.
| Provider | Databricks |
|---|---|
| Routing status | Active |
| Provider website | https://www.databricks.com/ |
| Models | 10 public models |
| Credits routes | 10 |
| Zero data retention | no |
| Verified confidential inference | Not verified |
| Policy note | Databricks Foundation Model APIs are a Designated Service and pay-per-token workloads are HIPAA compliant. Databricks may temporarily process or store inputs and outputs for abuse prevention, and may process data outside the originating cloud or region. This route is therefore standard privacy, not ZDR, confidential compute, or end-to-end encrypted. Policy source |
Measured performance
27 samplesContinuously sampled across Databricks'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 | 1873 ms |
|---|---|
| Effective throughput | 50 tok/s n=1 |
| Uptime | 100.00% |
| Model | p50 TTFT | Effective throughput | Uptime | Config excluded | Availability samples |
|---|---|---|---|---|---|
| meta-llama/llama-3.3-70b-instruct | 1051 ms | — | 100.00% | — | 4 |
| meta-llama/llama-4-maverick | 1577 ms | — | 100.00% | — | 4 |
| google/gemma-3-12b-it | 1713 ms | — | 100.00% | — | 3 |
| meta-llama/llama-3.1-8b-instruct | 1873 ms | — | 100.00% | — | 5 |
| openai/gpt-oss-120b | 2390 ms | 50 tok/s n=1 | 100.00% | — | 7 |
| qwen/qwen3.5-122b-a10b | 2575 ms | — | 100.00% | — | 1 |
| qwen/qwen3-next-80b-a3b-instruct | 3193 ms | — | 100.00% | — | 3 |
Databricks performance history · Full provider & model leaderboard.
Models served by Databricks.
Each row links to pricing, provider, benchmark, and API pages for the model.
| Model | AI IQ | Context | Input | Cached input | Output |
|---|---|---|---|---|---|
google/gemma-3-12b-itGoogle: Gemma 3 12B |
— | 131,072 | $0.15825/1M | Not published | $0.5275/1M |
meta-llama/llama-3.1-8b-instructMeta: Llama 3.1 8B Instruct |
— | 131,072 | $0.15825/1M | Not published | $0.47475/1M |
meta-llama/llama-3.3-70b-instructMeta: Llama 3.3 70B Instruct |
— | 131,072 | $0.5275/1M | Not published | $1.5825/1M |
meta-llama/llama-4-maverickMeta: Llama 4 Maverick |
IQ 85#127 | 128,000 | $0.5275/1M | Not published | $1.5825/1M |
openai/gpt-oss-120bOpenAI: gpt-oss-120b |
IQ 98#99 | 131,072 | $0.15825/1M | Not published | $0.633/1M |
openai/gpt-oss-20bOpenAI: gpt-oss-20b |
IQ 93#113 | 131,072 | $0.07385/1M | Not published | $0.3165/1M |
qwen/qwen3-next-80b-a3b-instructQwen: Qwen3 Next 80B A3B Instruct |
— | 262,144 | $0.15825/1M | Not published | $1.266/1M |
qwen/qwen3.5-122b-a10bQwen: Qwen3.5-122B-A10B |
— | 262,144 | $0.2321/1M | Not published | $2.321/1M |
thinkingmachines/inklingThinking Machines: Inkling |
IQ 107#70 | 524,288 | $1.055/1M | $0.17935/1M | $4.27275/1M |
z-ai/glm-5.2Z.ai: GLM 5.2 |
IQ 120#28 | 1,048,576 | $1.477/1M | $0.2743/1M | $4.642/1M |
Questions
Does Databricks have zero data retention?
TrustedRouter does not currently mark Databricks 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 Databricks end-to-end encrypted?
TrustedRouter does not currently mark Databricks 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 Databricks models are available through TrustedRouter?
This page currently lists 10 public Databricks models, with live pricing, route count, context length, measured performance when available, and links to each model's provider and benchmark pages.