SSyncDev

AI model comparison

MAI-Code-1-Flash vs GPT-Realtime-2.1

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. GPT-Realtime-2.1 from OpenAI lists 128K context, 32K maximum output, $4.00 input per 1M tokens, $24.00 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
Full model profilegithub.com ↗
VS

OpenAI

GPT-Realtime-2.1

GPT-Realtime-2.1 from OpenAI: Realtime speech-to-speech model with configurable reasoning, tool use, and robust voice-agent behavior.

Context
128K
Max output
32K
Input / 1M tokens
$4.00
Output / 1M tokens
$24.00

Accepts

  • Text input
  • Audio input
  • Image input

Produces

  • Text output
  • Audio output
Full model profilegithub.com ↗

At a glance

Key differences

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

MAI-Code-1-Flash

  • Context capacity: 256K
  • Maximum output: 128K

Context capacity

Higher listed limit

MAI-Code-1-Flash:256K

GPT-Realtime-2.1:128K

MAI-Code-1-Flash

Maximum output

Higher listed limit

MAI-Code-1-Flash:128K

GPT-Realtime-2.1:32K

MAI-Code-1-Flash

Specifications

Pricing, limits and capabilities

Specifications for MAI-Code-1-Flash and GPT-Realtime-2.1. Higher limits and lower prices describe these figures only.
SpecificationMAI-Code-1-FlashGPT-Realtime-2.1
ProviderMicrosoftOpenAI
Listed pricing routeMicrosoftOpenAI
Model familymaigpt
Accepted inputstexttext, audio, image
Produced outputstexttext, audio
Context window256KHigher128K
Max output128KHigher32K
Input price / 1M—$4.00
Output price / 1M—$24.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedDocumented
Structured outputDocumentedNot documented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider MAI-Code-1-Flash 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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