LLM Reference

MAI-Code-1-Flash

Released
2026-06-02
Last refreshed
2026-06-02
Status
Researched 1d ago
ProprietaryCodingAgentsJSON / Tool use

MAI-Code-1-Flash is worth evaluating for coding, agents, and json / tool use when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding, agents, and json / tool use
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
Specifications
Family
MAI
Released
2026-06-02
Specialization
code
License
Proprietary
Training
finetuned
Created by

Applied AI products and platforms from Microsoft

Redmond, Washington, United States
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · Microsoft Foundry

About

MAI-Code-1-Flash is Microsoft AI's lightweight agentic coding model built directly inside GitHub Copilot's production harness. It is designed for fast everyday developer workflows, adaptive thinking by task complexity, multi-turn instruction following, and token-efficient coding. Microsoft reports 51.2% on SWE-bench Pro versus 35.2% for Claude Haiku 4.5 in the same Copilot harness, plus stronger results on SWE-bench Verified, SWE-bench Multilingual, and Terminal-Bench 2.0 without publishing exact scores for those secondary benchmarks.

MAI-Code-1-Flash is a proprietary model in the MAI family. The structured metadata tracks reasoning and tool use. This page tracks provider routes through Microsoft Foundry. Headline tracked benchmarks include SWE-bench Pro 51.2.

Top use-case fit

Coding

1 relevant benchmark in the decision map.

Agents

Included by capability and metadata signals in the decision map.

JSON / Tool use

Included by capability and metadata signals in the decision map.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
Microsoft Foundry--
ServerlessPartial

Capabilities

ReasoningTool Use

Benchmark peer barsfor Coding

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
SWE-bench Pro51.2GitHub Copilot production harnesshttps://microsoft.ai/news/introducingmai-code-1-flash/

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(5)