AI model comparison

MAI-Code-1-Flash vs Grok 4.5

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

MAI-Code-1-Flash from Microsoft lists 256K context, 128K maximum output. Grok 4.5 from xAI lists 500K context, 500K maximum output, $2.00 input per 1M tokens, $6.00 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Microsoft

MAI-Code-1-Flash

MAI-Code-1-Flash from Microsoft: Microsoft coding model built for fast, efficient assistance in everyday developer workflows.

Context
256K
Max output
128K

Accepts

  • Text input

Produces

  • Text output
VS

xAI

Grok 4.5

Grok 4.5 from xAI: xAI's Grok model for chat, coding, agentic tools, and lower hallucination risk.

Context
500K
Max output
500K
Input / 1M tokens
$2.00
Output / 1M tokens
$6.00

Accepts

  • Text input
  • Image input

Produces

  • Text output

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

Grok 4.5

  • Context capacity: 500K
  • Maximum output: 500K

Context capacity

Higher listed limit

MAI-Code-1-Flash:256K

Grok 4.5:500K

Grok 4.5

Maximum output

Higher listed limit

MAI-Code-1-Flash:128K

Grok 4.5:500K

Grok 4.5

Specifications

Pricing, limits and capabilities

Specifications for MAI-Code-1-Flash and Grok 4.5. Higher limits and lower prices describe these figures only.
SpecificationMAI-Code-1-FlashGrok 4.5
ProviderMicrosoftxAI
Listed pricing routeMicrosoftxAI
Model familymaigrok
Accepted inputstexttext, image
Produced outputstexttext
Context window256K500KHigher
Max output128K500KHigher
Input price / 1M—$2.00
Output price / 1M—$6.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider Grok 4.5 if you need larger context or larger maximum output. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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