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Model infoModelsSnapshot: 15 Oct 2026

Magic / Magic pretraining research

Magic V4

Internal pretraining experiment documented in Magic’s September 2026 research report.

restrictedClosed weightsText generationCoding
Official documentation (opens in a new tab)Reviewed 15 Oct 2026
4 of 17 specification fields collected
Context windowNot collectedAwaiting source review
Maximum outputNot collectedAwaiting source review
Input billingNot collectedMagic · private research
Output billingNot collectedNo inferred price

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

No exact model-specific value or customer API contract established in the reviewed sources.

Maximum input tokens
Not collected

No exact model-specific value or customer API contract established in the reviewed sources.

Maximum output
Not collected

No exact model-specific value or customer API contract established in the reviewed sources.

Parameters
Not collected

No exact model-specific value or customer API contract established in the reviewed sources.

Release date
Not collected

No exact model-specific value or customer API contract established in the reviewed sources.

Knowledge cutoff
Not collected

No exact model-specific value or customer API contract established in the reviewed sources.

Reasoning
Not collected

No exact model-specific value or customer API contract established in the reviewed sources.

Tool calling
Not collected

No exact model-specific value or customer API contract established in the reviewed sources.

Structured output
Not collected

No exact model-specific value or customer API contract established in the reviewed sources.

Streaming
Not collected

No exact model-specific value or customer API contract established in the reviewed sources.

Batch processing
Not collected

No exact model-specific value or customer API contract established in the reviewed sources.

Fine-tuning
Not collected

No exact model-specific value or customer API contract established in the reviewed sources.

Context caching
Not collected

No exact model-specific value or customer API contract established in the reviewed sources.

Provider version
V4Source for Provider version (opens in a new tab)

Provider experiment labels. The current runs use the V5 recipe; names do not imply a public API selector.

Training compute (FLOPs)
1,910,000,000,000,000,000,000,000Source for Training compute (FLOPs) (opens in a new tab)

Provider approximation: 6 × activated parameters × training tokens. It excludes sequence-dimension costs and is not a measured full hardware bill.

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

Magic · private research

Provider source (opens in a new tab)
API model ID
Not collected

Research name only; no public callable model selector established.

Access
Research record. No customer inference interface, release entitlement or numerical tariff verified.
Regions
No public serving regions established.

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

No customer inference retention or training policy established for this research model.

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.

Magic · private research

Not verified

No model-specific prompt-cache contract or billed cache tariff established.

How it works
Not collected

No model-specific prompt-cache contract or billed cache tariff established.

Minimum reusable input
Not collected

No model-specific prompt-cache contract or billed cache tariff established.

Lifetime & refresh
Not collected

No model-specific prompt-cache contract or billed cache tariff established.

How to enable it
Not collected

No model-specific prompt-cache contract or billed cache tariff established.

Usage fields
Not collected

No model-specific prompt-cache contract or billed cache tariff established.

Billing rules
Not collected

No model-specific prompt-cache contract or billed cache tariff established.

Limits & data boundaries
Not collected

No model-specific prompt-cache contract or billed cache 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

Inferred private internal research run, not a commercial product name. The report describes future release plans and does not supply downloadable weights or customer inference access.

Classification evidence (opens in a new tab)

Lifecycle dates

Internal run documented in research report8 Sept 2026Source (opens in a new tab)

Sources reviewed