/ ELYZA / Llama-3.1-ELYZA-Med-Base-1.0-70B ELYZA / ELYZA LLM
Llama-3.1-ELYZA-Med-Base-1.0-70B Japanese medical-domain research model built through continued pretraining. The published evaluation is a text-only examination benchmark.
preview Closed weights Text generation
Context window Not collected Awaiting source review
Maximum output Not collected Awaiting source review
Input billing Not collected ELYZA / SIP medical research
Output billing Not collected No inferred price
Specifications Access & pricing Caching Evaluation Sources & lifecycle
Specifications Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.
Context / input limit Not collected
Maximum input tokens Not collected
Maximum output Not collected
Reasoning Not collected
Tool calling Not collected
Structured output Not collected
Streaming Not collected
Batch processing Not collected
Fine-tuning Not collected
Knowledge cutoff Not collected
Release date Not collected
Architecture Not collected Context caching Not collected No public prompt-caching contract, lifetime or cached-input rate verified. Speculative decoding is not a published cache discount.
Published price Not collected No numeric production price verified for this exact model. Historical free demos do not establish free production inference.
Access & pricing Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.
API model ID Not collectedPublished model label is not a verified API request selector.
Access Research model described in the SIP healthcare project; no public production endpoint or clinical authorization inferred.
Regions Deployment-specific; no universal processing-region guarantee verified. Endpoint pricing has not been collected. Check the provider for applicable rates.
Data & enterprise terms Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.
Caching Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.
01 / INITIAL INPUT Process & retain The system processes eligible input and retains reusable state.
02 / LATER REQUEST Check available state Reuse depends on matching input, session state and the cache policy.
03 / CACHE HIT Reuse & generate Reusing state can reduce repeated work. Any charges follow the billing rules below.
ELYZA / SIP medical research Not verified
How it works Not collected
Minimum reusable input Not collected
Lifetime & refresh Not collected
How to enable it Not collected
Usage fields Not collected
Billing rules Not collected
Limits & data boundaries Not collected No verified cache rate for this endpoint. An empty rate is not a zero charge.
Caching reviewed 14 Oct 2026
What the measurements say
IgakuQA ELYZA · vendor-reported 79.7% accuracy Provider table 1: five years of exam questions; February 2025 comparison. Text-only models lack image clues on image-dependent questions.
Evaluation source (opens in a new tab)
IgakuQA contraindicated choices ELYZA · vendor-reported 3choices across five exam years Provider table 1; lower is better. Count is not a clinical safety certification.
Evaluation source (opens in a new tab) Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.
The record behind the model Why it is included Provider identifies this separately trained derivative, but no matching public checkpoint was verified in ELYZA’s reviewed weight inventory. Closed-weight classification is inferred for this exact model, not the public upstream Llama or Qwen weights. Research access and redistribution terms remain unverified.
Classification evidence (opens in a new tab) Lifecycle dates Sources reviewed 