MAI-Code-1.1-Flash

Available · Language, Multimodal, Code

MAI-Code-1.1-Flash is a coding model from Microsoft AI, released on 11 August 2026 as the successor to MAI-Code-1-Flash and offered inside GitHub Copilot. It is a sparse mixture-of-experts model with 5 billion active and 138 billion total parameters that adds image input, and Microsoft says it uses fewer tokens per task at a quarter of the price. [1] [2] [3] Primary source

Timeline of MAI-Code-1.1-Flash →

Claims and evidence

  • Released Primary source[1]dateline [2]Model Summary: Release date [3]
  • Status AvailableIn production in GitHub Copilot; no deprecation notice found up to 2026-10-01. Primary source[1]first paragraph [4] [3]Availability in GitHub Copilot
  • Successor of MAI-Code-1-Flash Primary source[1]first paragraph [3]first paragraph [5] [6]README: New Release - MAI-Code-1.1-Flash
  • Derived from (other) MAI-Thinking-1Training started from MAI-Thinking-1's compressed 5B-active-parameter mid-training checkpoint, followed by supervised fine-tuning, a further mid-training phase and reinforcement learning. Primary source[2]Training disclosure; Model dependencies
  • Change · Modality Adds native image input; MAI-Code-1-Flash accepted text only.Compared with MAI-Code-1-Flash Primary source[3]first paragraph [2]Model Summary: Inputs
  • Change · Efficiency Microsoft says it uses about 25% fewer tokens per task and streams tokens about 25% faster in GitHub Copilot.Compared with MAI-Code-1-Flash Primary source[1]
  • Change · Other Microsoft puts the price at a quarter of MAI-Code-1-Flash; GitHub lists a 73% lower list price.Compared with MAI-Code-1-Flash Primary source[1] [3]
  • Change · Other Microsoft focused this version on command-line tasks in GitHub Copilot CLI and on .NET work, based on developer feedback.Compared with MAI-Code-1-Flash Primary source[1]
  • Input text, image Primary source[2]Model Summary: Inputs [3]first paragraph
  • Output text Primary source[2]Model Summary: Outputs
  • Context window 256K tokens tokensThe numeric value reads K as 1,000; the source does not say. Primary source[2]Model Summary: Context length
  • Parameters 138B total, 5B activeSparse mixture-of-experts. Primary source[2]Model Summary: Parameters

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