HIPAA-friendly LLM with BAA path
Process PHI-adjacent text with a provider willing to sign a BAA / equivalent and offer enterprise isolation controls.
At a glance — Oct 2026
Updated 2026-10-27 · forward this page: /jtbds/hipaa-baa-llm#briefScores as of 2026-09-14 (43 days old; Depot marks scores stale after 30 days). The pick is still Depot's current editorial pick; it has not been re-reviewed since. Prices below carry their own dates.
- Depot Pick
- Amazon Bedrock · 8.04/10 for this job (curated estimate, high confidence)
GUESS-adjacent: always confirm current BAA eligibility with counsel + vendor. Privacy weighted. Confidence: medium (legal, not just tech).
- Runner-up
- Azure OpenAI · 7.90/10
Scores higher than the pick on: Capability fit, Developer & agent DX.
- When not to use the pick
- Azure OpenAI already under Microsoft BAA, Vertex mandated, or memory-layer HIPAA (Supermemory) is the gap not the LLM.
- Lock-in / migration
- The pick has lower stored lock-in risk than runner-up Azure OpenAI (7 vs 7.8).
- Sourced price (usd_per_million_input_tokens)
Pick's lowest sourced SKU: Gemma 3 4B $0.04 (usd_per_million_input_tokens) — source, as of 2026-10-03, re-checked 2026-10-27
Cheapest matching SKU: Amazon Bedrock Gemma 3 4B $0.04 — source, as of 2026-10-03, re-checked 2026-10-27. The pick is the cheapest.
Price history: first seen 2026-10-03 · last changed no change recorded · history JSON
- Free option
- No free resource lists this job. A cheap paid SKU is not a free option.
- Failure modes to watch
- Runaway spend: Set a budget and a tool-call cap per task. Alert when spend jumps. Stop the run at the cap instead of summarizing a partial trace as success.
Same-job, same-unit comparisons: Amazon Bedrock vs Google Vertex AI · Amazon Bedrock vs Anthropic
Cite: Agent Provider Depot, Depot Pick for hipaa-baa-llm: amazon-bedrock, scores as of 2026-09-14. Agents: GET /api/decide?jtbd=hipaa-baa-llm
All sourced prices, cheapest first
Amazon Bedrock
GUESS-adjacent: always confirm current BAA eligibility with counsel + vendor. Privacy weighted. Confidence: medium (legal, not just tech).
Pricing (directional): Pay-per-token for Claude, Llama, Amazon, Cohere, etc.; Provisioned Throughput for steady load. AWS marketplace billing.
Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.
Enterprise multi-model switchboard. Great when AWS is mandatory; mediocre when you just want the best Claude experience.
Quote for HIPAA-friendly LLM with BAA path
Depot Pick stays Amazon Bedrock. Prices below are sourced SKU rows only (as of 2026-10-27). Input and output are not blended. GET /api/quote?jtbd=hipaa-baa-llm
Pick is the cheapest sourced input $/1M among candidates (0.04).
- Claude 3.5 Sonnet usd_per_million_input_tokens $6 source as of 2026-10-03
- Claude 3.5 Sonnet v2 usd_per_million_input_tokens $6 source as of 2026-10-03
- Claude Haiku 5.5 usd_per_million_input_tokens $0.1 source as of 2026-10-19
- Claude Opus 5.5 usd_per_million_input_tokens $4 source as of 2026-10-19
- Claude Sonnet 5.5 usd_per_million_input_tokens $2 source as of 2026-10-19
- DeepSeek v3.1 Sydney flex usd_per_million_input_tokens $0.2987 source as of 2026-10-03
- DeepSeek v3.1 Sydney priority usd_per_million_input_tokens $1.0455 source as of 2026-10-03
- DeepSeek v3.1 Sydney standard usd_per_million_input_tokens $0.5974 source as of 2026-10-03
- DeepSeek v3.2 usd_per_million_input_tokens $0.62 source as of 2026-10-03
- DeepSeek v3.2 other regions usd_per_million_input_tokens $0.74 source as of 2026-10-03
- DeepSeek v3.2 Sydney standard usd_per_million_input_tokens $0.6386 source as of 2026-10-03
- Gemma 3 12B usd_per_million_input_tokens $0.09 source as of 2026-10-03
- Gemma 3 12B Mumbai Ireland Milan usd_per_million_input_tokens $0.11 source as of 2026-10-03
- Gemma 3 12B Sao Paulo Tokyo usd_per_million_input_tokens $0.11 source as of 2026-10-03
- Gemma 3 27B usd_per_million_input_tokens $0.23 source as of 2026-10-03
- Gemma 3 27B Mumbai Ireland Milan usd_per_million_input_tokens $0.27 source as of 2026-10-03
- Gemma 3 27B Sao Paulo Tokyo usd_per_million_input_tokens $0.27 source as of 2026-10-03
- Gemma 3 4B usd_per_million_input_tokens $0.04 source as of 2026-10-03
- Gemma 3 4B Mumbai Ireland Milan usd_per_million_input_tokens $0.05 source as of 2026-10-03
- Gemma 3 4B Sao Paulo Tokyo usd_per_million_input_tokens $0.05 source as of 2026-10-03
- Gemma 4 26B A4B Frankfurt usd_per_million_input_tokens $0.16 source as of 2026-10-03
- Gemma 4 26B A4B usd_per_million_input_tokens $0.13 source as of 2026-10-03
- Gemma 4 31B Frankfurt usd_per_million_input_tokens $0.17 source as of 2026-10-03
- Gemma 4 31B usd_per_million_input_tokens $0.14 source as of 2026-10-03
- Gemma 4 E2B Frankfurt usd_per_million_input_tokens $0.05 source as of 2026-10-03
- Gemma 4 E2B usd_per_million_input_tokens $0.04 source as of 2026-10-03
- Llama 2 Chat (13B) usd_per_million_input_tokens $0.75 source as of 2026-10-03
- Llama 2 Chat (70B) usd_per_million_input_tokens $1.95 source as of 2026-10-03
- Claude 3.5 Sonnet usd_per_million_output_tokens $30 source as of 2026-10-03
- Claude 3.5 Sonnet v2 usd_per_million_output_tokens $30 source as of 2026-10-03
- Claude Haiku 5.5 usd_per_million_output_tokens $0.5 source as of 2026-10-19
- Claude Opus 5.5 usd_per_million_output_tokens $20 source as of 2026-10-19
- Claude Sonnet 5.5 usd_per_million_output_tokens $10 source as of 2026-10-19
- DeepSeek v3.1 Sydney flex usd_per_million_output_tokens $0.8652 source as of 2026-10-03
- DeepSeek v3.1 Sydney priority usd_per_million_output_tokens $3.0282 source as of 2026-10-03
- DeepSeek v3.1 Sydney standard usd_per_million_output_tokens $1.7304 source as of 2026-10-03
- DeepSeek v3.2 other regions usd_per_million_output_tokens $2.22 source as of 2026-10-03
- DeepSeek v3.2 usd_per_million_output_tokens $1.85 source as of 2026-10-03
- DeepSeek v3.2 Sydney standard usd_per_million_output_tokens $1.9055 source as of 2026-10-03
- Gemma 3 12B Mumbai Ireland Milan usd_per_million_output_tokens $0.34 source as of 2026-10-03
- Gemma 3 12B usd_per_million_output_tokens $0.29 source as of 2026-10-03
- Gemma 3 12B Sao Paulo Tokyo usd_per_million_output_tokens $0.35 source as of 2026-10-03
- Gemma 3 27B Mumbai Ireland Milan usd_per_million_output_tokens $0.45 source as of 2026-10-03
- Gemma 3 27B usd_per_million_output_tokens $0.38 source as of 2026-10-03
- Gemma 3 27B Sao Paulo Tokyo usd_per_million_output_tokens $0.45 source as of 2026-10-03
- Gemma 3 4B Mumbai Ireland Milan usd_per_million_output_tokens $0.09 source as of 2026-10-03
- Gemma 3 4B usd_per_million_output_tokens $0.08 source as of 2026-10-03
- Gemma 3 4B Sao Paulo Tokyo usd_per_million_output_tokens $0.1 source as of 2026-10-03
- Gemma 4 26B A4B Frankfurt usd_per_million_output_tokens $0.48 source as of 2026-10-03
- Gemma 4 26B A4B usd_per_million_output_tokens $0.4 source as of 2026-10-03
- Gemma 4 31B Frankfurt usd_per_million_output_tokens $0.48 source as of 2026-10-03
- Gemma 4 31B usd_per_million_output_tokens $0.4 source as of 2026-10-03
- Gemma 4 E2B Frankfurt usd_per_million_output_tokens $0.1 source as of 2026-10-03
- Gemma 4 E2B usd_per_million_output_tokens $0.08 source as of 2026-10-03
- Llama 2 Chat (13B) usd_per_million_output_tokens $1 source as of 2026-10-03
- Llama 2 Chat (70B) usd_per_million_output_tokens $2.56 source as of 2026-10-03
- Claude 3.5 Sonnet v2 usd_per_million_cached_input_tokens $0.6 source as of 2026-10-03
- Claude 3.5 Sonnet v2 usd_per_million_cache_write_tokens $7.5 source as of 2026-10-03
- Llama 2 custom inference model unit usd_per_model_unit_hour $23.5 source as of 2026-10-03
- Llama 2 Pretrained (13B) storage usd_per_custom_model_month $1.95 source as of 2026-10-03
- Llama 2 Pretrained (13B) usd_per_million_train_tokens $1.49 source as of 2026-10-03
- Llama 2 Pretrained (70B) usd_per_million_train_tokens $7.99 source as of 2026-10-03
- Rerank 3.5 usd_per_1k_queries $2 source as of 2026-10-03
2 of 5 candidates have no sourced price row. 2 are excluded from the Input $/1M comparison (chat_completion_input). min sourced input SKU among candidates; not quality-adjusted
Runners-up
Azure OpenAI
Pick when IT already standardized on Azure and needs VNET/private endpoints. Otherwise go direct OpenAI and…
Google Vertex AI
Enterprise Gemini path. Use AI Studio for prototypes, Vertex when security review starts asking questions.
Anthropic
Depot default for serious coding and production agents. Prefer Sonnet for cost/quality; reserve Opus for hard…
Supermemory
Managed context engine when you want memory without running a vector DB. Mem0 for simpler fact API; Cognee…
When NOT to use the top pick
Azure OpenAI already under Microsoft BAA, Vertex mandated, or memory-layer HIPAA (Supermemory) is the gap not the LLM.
Full ranking (score table)
Ranked with this JTBD's weights. Scores are curated estimates unless marked otherwise. Agents: prefer /api/decide then this table for tie-breaks.
| # | Provider | Overall | Fit | $/perf | Latency | DX | As of |
|---|---|---|---|---|---|---|---|
| 1 | Anthropic | 8.5 | 9.7 | 6.8 | 8.7 | 9.2 | 2026-10-19 |
| 2 | Google Vertex AI | 8.1 | 9.0 | 7.0 | 9.0 | 7.2 | 2026-09-14 |
| 3 | Amazon BedrockDepot Pick | 8.0 | 8.8 | 6.0 | 9.2 | 6.8 | 2026-09-14 |
| 4 | Azure OpenAI | 7.9 | 9.0 | 5.5 | 9.0 | 7.0 | 2026-09-14 |
| 5 | Supermemory | 7.8 | 8.4 | 7.8 | 8.0 | 8.8 | 2026-09-14 |
Score methodology for this job
GUESS-adjacent: always confirm current BAA eligibility with counsel + vendor. Privacy weighted. Confidence: medium (legal, not just tech).
capabilityFit: 20%pricePerformance: 10%latencyReliability: 12%developerDx: 10%privacyPosture: 30%lockInRisk: 8%maturity: 10%