feat: add MiniMax-M3 model (#946)

Co-authored-by: Roomote <roomote@roomote.dev>

Author: zoomote[bot]

packages/types/src/providers/minimax.ts

@@ -5,9 +5,24 @@ import type { ModelInfo } from "../model.js"
 // https://platform.minimax.io/docs/guides/pricing-paygo
 // https://platform.minimax.io/docs/guides/pricing-tokenplan
 export type MinimaxModelId = keyof typeof minimaxModels
-export const minimaxDefaultModelId: MinimaxModelId = "MiniMax-M2.7"
+export const minimaxDefaultModelId: MinimaxModelId = "MiniMax-M3"
 
 export const minimaxModels = {
+	"MiniMax-M3": {
+		maxTokens: 16_384,
+		contextWindow: 1_000_000,
+		supportsImages: true,
+		supportsPromptCache: true,
+		includedTools: ["search_and_replace"],
+		excludedTools: ["apply_diff"],
+		preserveReasoning: true,
+		inputPrice: 0.3,
+		outputPrice: 1.2,
+		cacheWritesPrice: 0.375,
+		cacheReadsPrice: 0.06,
+		description:
+			"MiniMax M3, MiniMax's frontier coding model with native multimodal (image and video) input and a 1M token context window, built for agent reasoning, tool calling, and long-context tasks. Prices reflect the permanent 50% discount; input, output, and cache read prices double for requests with over 512k input tokens. See pricing at https://platform.minimax.io/docs/guides/pricing-paygo. Note: When using TokenPlan, usage is billed per request, not per token.",
+	},
 	"MiniMax-M2.5": {
 		maxTokens: 16_384,
 		contextWindow: 204_800,

src/api/providers/__tests__/minimax.spec.ts

@@ -89,6 +89,23 @@ describe("MiniMaxHandler", () => {
 			expect(model.info).toEqual(minimaxModels[testModelId])
 		})
 
+		it("should return MiniMax-M3 model with correct configuration", () => {
+			const testModelId: MinimaxModelId = "MiniMax-M3"
+			const handlerWithModel = new MiniMaxHandler({
+				apiModelId: testModelId,
+				minimaxApiKey: "test-minimax-api-key",
+			})
+			const model = handlerWithModel.getModel()
+			expect(model.id).toBe(testModelId)
+			expect(model.info).toEqual(minimaxModels[testModelId])
+			expect(model.info.contextWindow).toBe(1_000_000)
+			expect(model.info.maxTokens).toBe(16_384)
+			expect(model.info.supportsImages).toBe(true)
+			expect(model.info.supportsPromptCache).toBe(true)
+			expect(model.info.cacheWritesPrice).toBe(0.375)
+			expect(model.info.cacheReadsPrice).toBe(0.06)
+		})
+
 		it("should return MiniMax-M2.5 model with correct configuration", () => {
 			const testModelId: MinimaxModelId = "MiniMax-M2.5"
 			const handlerWithModel = new MiniMaxHandler({
@@ -193,10 +210,10 @@ describe("MiniMaxHandler", () => {
 			expect(model.info).toEqual(minimaxModels[minimaxDefaultModelId])
 		})
 
-		it("should default to MiniMax-M2.7 model", () => {
+		it("should default to MiniMax-M3 model", () => {
 			const handlerDefault = new MiniMaxHandler({ minimaxApiKey: "test-minimax-api-key" })
 			const model = handlerDefault.getModel()
-			expect(model.id).toBe("MiniMax-M2.7")
+			expect(model.id).toBe("MiniMax-M3")
 		})
 	})
 
@@ -398,6 +415,18 @@ describe("MiniMaxHandler", () => {
 	})
 
 	describe("Model Configuration", () => {
+		it("should correctly configure MiniMax-M3 model properties", () => {
+			const model = minimaxModels["MiniMax-M3"]
+			expect(model.maxTokens).toBe(16_384)
+			expect(model.contextWindow).toBe(1_000_000)
+			expect(model.supportsImages).toBe(true)
+			expect(model.supportsPromptCache).toBe(true)
+			expect(model.inputPrice).toBe(0.3)
+			expect(model.outputPrice).toBe(1.2)
+			expect(model.cacheWritesPrice).toBe(0.375)
+			expect(model.cacheReadsPrice).toBe(0.06)
+		})
+
 		it("should correctly configure MiniMax-M2 model properties", () => {
 			const model = minimaxModels["MiniMax-M2"]
 			expect(model.maxTokens).toBe(16_384)