/ ELYZA / ELYZA-MuLQ-RL-1.0-Qwen3-8B ELYZA / ELYZA LLM
ELYZA-MuLQ-RL-1.0-Qwen3-8B Research model trained to search and read multiple legal documents before answering questions.
preview Closed weights Text generation
Context window Not collected Awaiting source review
Maximum output Not collected Awaiting source review
Input billing Not collected ELYZA 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
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 weights and production access are not verified. Publication of the MuLQ dataset does not mean model weights were released.
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 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
ELYZA MuLQ with tools ELYZA · vendor-reported 0.578mean accuracy Provider experiment, five runs; standard deviation 0.013. Dedicated finite-document search environment.
Evaluation source (opens in a new tab)
ELYZA MuLQ without tools ELYZA · vendor-reported 0.46mean accuracy Provider experiment, five runs; standard deviation 0.014. No-tool condition, separate from agentic inference.
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 