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Model infoModelsSnapshot: 15 Oct 2026

Microsoft AI / MAI-Code

MAI-Code-1-Flash

Original MAI coding model for GitHub Copilot in Visual Studio Code, trained for repository work and agentic coding. It is distinct from MAI-Code-1.1-Flash.

historicalClosed weightsCodingText generation
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
11 of 19 specification fields collected
Context window256K (provider-rounded)See specification notes below
Maximum outputNot collectedAwaiting source review
Input billingNot collectedGitHub Copilot in VS Code (original release)
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
256K (provider-rounded)Source for Context / input limit (opens in a new tab)
Maximum input tokens
Not collected
Maximum output
Not collected
Reasoning
SupportedSource for Reasoning (opens in a new tab)

Adaptive solution length allocates more reasoning to difficult tasks.

Tool calling
SupportedSource for Tool calling (opens in a new tab)

Agentic tool use within the Copilot harness; no general public function-calling API contract verified.

Structured output
Not collected
Streaming
Not collected
Batch processing
Not collected
Fine-tuning
Not collected
Parameters
137B total; 5B activeSource for Parameters (opens in a new tab)
Context caching
Not collected
Architecture
Transformer with sparse mixture-of-experts layersSource for Architecture (opens in a new tab)
Usage metering
Not collected

Original card says pricing is to be finalized. No standalone API token rate verified.

Access & pricing

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

GitHub Copilot in VS Code (original release)

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

Copilot Auto routing or model picker; no public API selector documented.

Access
Original launch to a fraction of individual Copilot users. CLI support was planned, not delivered by this card. Current routing and withdrawal date remain unverified.
Regions
Not verified for this model version.

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

Data & enterprise terms

Model-specific retention and training-use policy not collected.

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.

GitHub Copilot in VS Code (original release)

Not verified

No endpoint-specific cache contract verified for this version.

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

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

Microsoft documents this as its internally developed MAI model, distributed through hosted Microsoft products or services. The reviewed materials provide no downloadable weights for this named model. Public Phi and MAI-DS-R1 families are not included by inference.

Classification evidence (opens in a new tab)

Sources reviewed