chore: import upstream snapshot with attribution

models/microsoft/mai-code-1-flash.toml

@@ -0,0 +1,57 @@
+name = "MAI-Code-1-Flash"
+description = "Microsoft coding model built for fast, efficient assistance in everyday developer workflows"
+family = "mai"
+release_date = "2026-06-02"
+last_updated = "2026-06-08"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2025-12"
+open_weights = false
+
+[limit]
+context = 256_000
+output = 128_000
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[links]]
+label = "Model card"
+url = "https://microsoft.ai/pdf/MAI-Code-1-Flash-Model-Card.PDF"
+type = "model_card"
+
+[[links]]
+label = "Announcement"
+url = "https://microsoft.ai/news/introducingmai-code-1-flash/"
+type = "announcement"
+
+[[benchmarks]]
+name = "SWE-Bench Pro"
+score = 51.2
+metric = "resolve rate"
+harness = "GitHub Copilot"
+source = "https://microsoft.ai/news/introducingmai-code-1-flash/"
+date = "2026-06-02"
+
+[[benchmarks]]
+name = "SWE-Bench Verified"
+score = 71.6
+metric = "resolved"
+source = "https://llm-stats.com/benchmarks/swe-bench-verified"
+
+[[benchmarks]]
+name = "Terminal-Bench"
+score = 54.8
+metric = "success rate"
+version = "2.0"
+source = "https://llm-stats.com/benchmarks/terminal-bench-2"
+
+[[benchmarks]]
+name = "GPQA Diamond"
+score = 84.6
+metric = "accuracy"
+source = "https://llm-stats.com/benchmarks/gpqa"