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Model infoModelsSnapshot: 15 Oct 2026

Contextual AI / Contextual AI

Grounded Language Model v1

Language model optimized to answer from supplied knowledge and attribute claims to that evidence.

availableClosed weightsText generation
Official documentation (opens in a new tab)Reviewed 15 Oct 2026
5 of 16 specification fields collected
Input token limit32K32,000 tokens
Maximum output2K2,048 tokens
Input / 1M tokens$3.00Contextual AI API
Output / 1M tokens$15.00USD · observed 15 Oct 2026

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

Exact version-specific contract not established. Unknown does not mean unsupported.

Maximum input tokens
32,000 tokensSource for Maximum input tokens (opens in a new tab)

Total request budget, including supplied knowledge and conversation. Not a documented combined input-plus-output context window.

Maximum output
2,048 tokensSource for Maximum output (opens in a new tab)

max_new_tokens schema maximum; default 1024.

Parameters
Not collected

Exact version-specific contract not established. Unknown does not mean unsupported.

Release date
Not collected

Exact version-specific contract not established. Unknown does not mean unsupported.

Knowledge cutoff
Not collected

Exact version-specific contract not established. Unknown does not mean unsupported.

Reasoning
Not collected

Exact version-specific contract not established. Unknown does not mean unsupported.

Tool calling
Not collected

Exact version-specific contract not established. Unknown does not mean unsupported.

Structured output
Not collected

Exact version-specific contract not established. Unknown does not mean unsupported.

Streaming
Not collected

Exact version-specific contract not established. Unknown does not mean unsupported.

Batch processing
Not collected

Exact version-specific contract not established. Unknown does not mean unsupported.

Fine-tuning
Not collected

Exact version-specific contract not established. Unknown does not mean unsupported.

Context caching
Not collected

Exact version-specific contract not established. Unknown does not mean unsupported.

Generation controls
Required model, messages and knowledge. Last message must be from the user. Temperature 0–1 (default 0), top_p greater than 0 through 1 (default 0.9), max_new_tokens 1–2048. avoid_commentary defaults to false.Source for Generation controls (opens in a new tab)

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
v1
Access
API-key access. Supplied messages and knowledge required; no inference performed.
Regions
Public API serving region not established. Enterprise VPC deployment is offered under separate terms.
API endpoint
POST https://api.contextual.ai/v1/generateSource for API endpoint (opens in a new tab)
INPUT / 1M TOKENS$3.00
OUTPUT / 1M TOKENS$15.00

Published Generate component tariff; current request schema offers v1 and v2. Pricing does not distinguish versions. Enterprise/VPC agreements may differ. Cached input price: not collected.

USD · observed 15 Oct 2026 · Pricing evidence (opens in a new tab)

Data & enterprise terms

Service terms permit processing Customer Data to deliver and improve the service during and after the term. This is not a universal no-training or zero-retention commitment. Personal-data retention is purpose-dependent; enterprise/VPC agreements and task-result retention require separate review.

Read the service policy (opens in a new tab)

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 INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

Contextual AI API

v1
Not verified

No exact model-specific prompt-cache mechanism, eligibility or discounted tariff established.

How it works
Not collected

No exact model-specific prompt-cache mechanism, eligibility or discounted tariff established.

Minimum reusable input
Not collected

No exact model-specific prompt-cache mechanism, eligibility or discounted tariff established.

Lifetime & refresh
Not collected

No exact model-specific prompt-cache mechanism, eligibility or discounted tariff established.

How to enable it
Not collected

No exact model-specific prompt-cache mechanism, eligibility or discounted tariff established.

Usage fields
Not collected

No exact model-specific prompt-cache mechanism, eligibility or discounted tariff established.

Billing rules
Not collected

No exact model-specific prompt-cache mechanism, eligibility or discounted tariff established.

Limits & data boundaries
Not collected

No exact model-specific prompt-cache mechanism, eligibility or discounted tariff established.

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 15 Oct 2026

What the measurements say

No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.

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-developed specialized model supplied through versioned service selectors under retained provider rights and extraction restrictions. Reviewed official public releases distinguish LMUnit and Reranker v2 weights; they do not release this named GLM or v1 reranker checkpoint. Underlying open base models do not establish publication of the specialized weights.

Classification evidence (opens in a new tab)

Lifecycle dates

GLM standalone API announced; exact checkpoint release date not established4 Mar 2025Source (opens in a new tab)

Sources reviewed