diff --git a/.gitignore b/.gitignore
index 9506fd0cf..7e8128a7f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -70,3 +70,5 @@ coverage/
 undefined
 servers.json
 config.*.json
+
+volatile/
diff --git a/config.template.jsonc b/config.template.jsonc
index f42a98ddd..9f71bbd3e 100644
--- a/config.template.jsonc
+++ b/config.template.jsonc
@@ -252,6 +252,10 @@
         "mistral": { "apiKey": "" },
         "xai": { "apiKey": "" },
         "moonshot": { "apiKey": "" },
+        "minimax": {
+            "apiKey": "",
+            "apiBaseUrl": "https://api.minimax.io/v1"
+        },
         "openrouter": {
             "apiKey": "",
             "apiBaseUrl": "https://openrouter.ai/api/v1"
diff --git a/src/backend/drivers/ai-chat/ChatCompletionDriver.ts b/src/backend/drivers/ai-chat/ChatCompletionDriver.ts
index 3af5c4b49..02896087a 100644
--- a/src/backend/drivers/ai-chat/ChatCompletionDriver.ts
+++ b/src/backend/drivers/ai-chat/ChatCompletionDriver.ts
@@ -43,6 +43,7 @@ import { XAIProvider } from './providers/xai/XAIProvider.js';
 import { ZAIProvider } from './providers/zai/ZAIProvider.js';
 import { AlibabaProvider } from './providers/alibaba/AlibabaProvider.js';
 import { MoonshotProvider } from './providers/moonshot/MoonshotProvider.js';
+import { MiniMaxProvider } from './providers/minimax/MiniMaxProvider.js';
 import type {
     IChatCompleteResult,
     IChatModel,
@@ -869,6 +870,18 @@ export class ChatCompletionDriver extends PuterDriver {
             );
         }
 
+        const minimax = providers['minimax'];
+        const minimaxKey = readKey(minimax);
+        if (minimaxKey) {
+            this.#providers['minimax'] = new MiniMaxProvider(
+                {
+                    apiKey: minimaxKey,
+                    apiBaseUrl: minimax?.apiBaseUrl as string | undefined,
+                },
+                metering,
+            );
+        }
+
         const zai = providers['zai'];
         const zaiKey = readKey(zai);
         if (zaiKey) {
diff --git a/src/backend/drivers/ai-chat/providers/minimax/MiniMaxProvider.test.ts b/src/backend/drivers/ai-chat/providers/minimax/MiniMaxProvider.test.ts
new file mode 100644
index 000000000..a187d0193
--- /dev/null
+++ b/src/backend/drivers/ai-chat/providers/minimax/MiniMaxProvider.test.ts
@@ -0,0 +1,355 @@
+/*
+ * Copyright (C) 2024-present Puter Technologies Inc.
+ *
+ * This file is part of Puter.
+ *
+ * Puter is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU Affero General Public License as published
+ * by the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Affero General Public License for more details.
+ *
+ * You should have received a copy of the GNU Affero General Public License
+ * along with this program.  If not, see <https://www.gnu.org/licenses/>.
+ */
+
+import {
+    afterAll,
+    afterEach,
+    beforeAll,
+    beforeEach,
+    describe,
+    expect,
+    it,
+    vi,
+    type MockInstance,
+} from 'vitest';
+
+import { SYSTEM_ACTOR } from '../../../../core/actor.js';
+import type { MeteringService } from '../../../../services/metering/MeteringService.js';
+import { PuterServer } from '../../../../server.js';
+import { setupTestServer } from '../../../../testUtil.js';
+import { withTestActor } from '../../../integrationTestUtil.js';
+import { MINIMAX_MODELS } from './models.js';
+import { MiniMaxProvider } from './MiniMaxProvider.js';
+
+const { createMock, openAICtor } = vi.hoisted(() => {
+    const createMock = vi.fn();
+    const openAICtor = vi.fn();
+    return { createMock, openAICtor };
+});
+
+vi.mock('openai', () => {
+    const OpenAICtor = vi.fn().mockImplementation(function (
+        this: Record<string, unknown>,
+        opts: unknown,
+    ) {
+        openAICtor(opts);
+        this.chat = { completions: { create: createMock } };
+    });
+    return { OpenAI: OpenAICtor, default: { OpenAI: OpenAICtor } };
+});
+
+let server: PuterServer;
+let recordSpy: MockInstance<MeteringService['utilRecordUsageObject']>;
+
+beforeAll(async () => {
+    server = await setupTestServer();
+});
+
+afterAll(async () => {
+    await server?.shutdown();
+});
+
+const makeProvider = () => {
+    const provider = new MiniMaxProvider(
+        { apiKey: 'test-key' },
+        server.services.metering,
+    );
+    return { provider };
+};
+
+const asAsyncIterable = <T>(items: T[]): AsyncIterable<T> => ({
+    async *[Symbol.asyncIterator]() {
+        for (const item of items) {
+            yield item;
+        }
+    },
+});
+
+beforeEach(() => {
+    createMock.mockReset();
+    openAICtor.mockReset();
+    recordSpy = vi.spyOn(server.services.metering, 'utilRecordUsageObject');
+});
+
+afterEach(() => {
+    vi.restoreAllMocks();
+});
+
+describe('MiniMaxProvider construction', () => {
+    it('points the OpenAI SDK at the MiniMax base URL with the configured key', () => {
+        makeProvider();
+        expect(openAICtor).toHaveBeenCalledTimes(1);
+        expect(openAICtor).toHaveBeenCalledWith({
+            apiKey: 'test-key',
+            baseURL: 'https://api.minimax.io/v1',
+        });
+    });
+
+    it('allows overriding the MiniMax API base URL', () => {
+        new MiniMaxProvider(
+            {
+                apiKey: 'test-key',
+                apiBaseUrl: 'https://example.test/v1',
+            },
+            server.services.metering,
+        );
+        expect(openAICtor).toHaveBeenCalledWith({
+            apiKey: 'test-key',
+            baseURL: 'https://example.test/v1',
+        });
+    });
+});
+
+describe('MiniMaxProvider model catalog', () => {
+    it('returns minimax-m2.7 as the default', () => {
+        const { provider } = makeProvider();
+        expect(provider.getDefaultModel()).toBe('minimax-m2.7');
+    });
+
+    it('exposes the static MINIMAX_MODELS list verbatim from models()', () => {
+        const { provider } = makeProvider();
+        expect(provider.models()).toBe(MINIMAX_MODELS);
+    });
+
+    it('list() flattens canonical ids and aliases', () => {
+        const { provider } = makeProvider();
+        const ids = provider.list();
+        for (const model of MINIMAX_MODELS) {
+            expect(ids).toContain(model.id);
+            for (const alias of model.aliases ?? []) {
+                expect(ids).toContain(alias);
+            }
+        }
+        expect(ids).toContain('minimax-m2.7');
+        expect(ids).toContain('MiniMax-M2.7');
+        expect(ids).toContain('minimax/minimax-m2.7');
+    });
+
+    it('uses MiniMax completion-token limits instead of the context window', () => {
+        for (const model of MINIMAX_MODELS) {
+            expect(model.context).toBe(204_800);
+            expect(model.max_tokens).toBe(196_608);
+        }
+    });
+});
+
+describe('MiniMaxProvider.complete request shape', () => {
+    const baseCompletion = {
+        choices: [
+            {
+                message: { content: 'hi', role: 'assistant' },
+                finish_reason: 'stop',
+            },
+        ],
+        usage: { prompt_tokens: 1, completion_tokens: 1 },
+    };
+
+    it('sends the case-sensitive upstream MiniMax model id', async () => {
+        const { provider } = makeProvider();
+        createMock.mockResolvedValueOnce(baseCompletion);
+
+        await withTestActor(() =>
+            provider.complete({
+                model: 'minimax-m2.7',
+                messages: [{ role: 'user', content: 'hello' }],
+            }),
+        );
+
+        const [args] = createMock.mock.calls[0]!;
+        expect(args.model).toBe('MiniMax-M2.7');
+        expect(args.messages).toEqual([{ role: 'user', content: 'hello' }]);
+        expect(args.max_tokens).toBe(1000);
+    });
+
+    it('resolves the upstream-cased alias to the canonical API model', async () => {
+        const { provider } = makeProvider();
+        createMock.mockResolvedValueOnce(baseCompletion);
+
+        await withTestActor(() =>
+            provider.complete({
+                model: 'MiniMax-M2.7-highspeed',
+                messages: [{ role: 'user', content: 'hello' }],
+            }),
+        );
+
+        expect(createMock.mock.calls[0]![0].model).toBe(
+            'MiniMax-M2.7-highspeed',
+        );
+        expect(recordSpy).toHaveBeenCalledWith(
+            expect.any(Object),
+            expect.anything(),
+            'minimax:minimax-m2.7-highspeed',
+            expect.any(Object),
+        );
+    });
+
+    it('passes standard chat completion options through', async () => {
+        const { provider } = makeProvider();
+        createMock.mockResolvedValueOnce(baseCompletion);
+        const tools = [
+            {
+                type: 'function',
+                function: {
+                    name: 'lookup',
+                    parameters: { type: 'object', properties: {} },
+                },
+            },
+        ];
+
+        await withTestActor(() =>
+            provider.complete({
+                model: 'minimax-m2.7',
+                messages: [{ role: 'user', content: 'hi' }],
+                tools,
+                tool_choice: 'auto',
+                max_tokens: 256,
+                temperature: 0.4,
+                top_p: 0.9,
+            }),
+        );
+
+        const [args] = createMock.mock.calls[0]!;
+        expect(args.tools).toBe(tools);
+        expect(args.tool_choice).toBe('auto');
+        expect(args.max_tokens).toBe(256);
+        expect(args.temperature).toBe(0.4);
+        expect(args.top_p).toBe(0.9);
+    });
+
+    it('clamps oversized max_tokens to the MiniMax completion limit', async () => {
+        const { provider } = makeProvider();
+        createMock.mockResolvedValueOnce(baseCompletion);
+
+        await withTestActor(() =>
+            provider.complete({
+                model: 'minimax-m2.1',
+                messages: [{ role: 'user', content: 'hi' }],
+                max_tokens: 200_000,
+            }),
+        );
+
+        const [args] = createMock.mock.calls[0]!;
+        expect(args.model).toBe('MiniMax-M2.1');
+        expect(args.max_tokens).toBe(196_608);
+    });
+
+    it('only sets stream_options.include_usage when streaming', async () => {
+        const { provider } = makeProvider();
+        createMock.mockResolvedValueOnce(baseCompletion);
+
+        await withTestActor(() =>
+            provider.complete({
+                model: 'minimax-m2.7',
+                messages: [{ role: 'user', content: 'hi' }],
+                stream: false,
+            }),
+        );
+        const [nonStreamArgs] = createMock.mock.calls[0]!;
+        expect(nonStreamArgs.stream).toBe(false);
+        expect('stream_options' in nonStreamArgs).toBe(false);
+
+        createMock.mockReturnValueOnce(asAsyncIterable([]));
+        await withTestActor(() =>
+            provider.complete({
+                model: 'minimax-m2.7',
+                messages: [{ role: 'user', content: 'hi' }],
+                stream: true,
+            }),
+        );
+        const [streamArgs] = createMock.mock.calls[1]!;
+        expect(streamArgs.stream).toBe(true);
+        expect(streamArgs.stream_options).toEqual({ include_usage: true });
+    });
+});
+
+describe('MiniMaxProvider.complete output and metering', () => {
+    it('returns the first choice and records MiniMax usage with model costs', async () => {
+        const { provider } = makeProvider();
+        createMock.mockResolvedValueOnce({
+            choices: [
+                {
+                    message: { content: 'hi there', role: 'assistant' },
+                    finish_reason: 'stop',
+                },
+            ],
+            usage: {
+                prompt_tokens: 100,
+                completion_tokens: 50,
+                prompt_tokens_details: { cached_tokens: 10 },
+            },
+        });
+
+        const result = await withTestActor(() =>
+            provider.complete({
+                model: 'minimax-m2.7',
+                messages: [{ role: 'user', content: 'hi' }],
+            }),
+        );
+
+        expect(result).toMatchObject({
+            message: { content: 'hi there', role: 'assistant' },
+            finish_reason: 'stop',
+        });
+        expect((result as { usage: unknown }).usage).toEqual({
+            prompt_tokens: 100,
+            completion_tokens: 50,
+            cached_tokens: 10,
+        });
+
+        expect(recordSpy).toHaveBeenCalledTimes(1);
+        const [usage, actor, prefix, overrides] = recordSpy.mock.calls[0]!;
+        expect(usage).toEqual({
+            prompt_tokens: 100,
+            completion_tokens: 50,
+            cached_tokens: 10,
+        });
+        expect(actor).toBe(SYSTEM_ACTOR);
+        expect(prefix).toBe('minimax:minimax-m2.7');
+        expect(overrides).toEqual({
+            prompt_tokens: 100 * 30,
+            completion_tokens: 50 * 120,
+            cached_tokens: 10 * 6,
+        });
+    });
+
+    it('rethrows errors raised by the OpenAI client unchanged', async () => {
+        const { provider } = makeProvider();
+        const apiError = new Error('MiniMax exploded');
+        createMock.mockRejectedValueOnce(apiError);
+
+        await expect(
+            withTestActor(() =>
+                provider.complete({
+                    model: 'minimax-m2.7',
+                    messages: [{ role: 'user', content: 'boom' }],
+                }),
+            ),
+        ).rejects.toBe(apiError);
+        expect(recordSpy).not.toHaveBeenCalled();
+    });
+});
+
+describe('MiniMaxProvider.checkModeration', () => {
+    it('throws because MiniMax provider does not implement moderation', () => {
+        const { provider } = makeProvider();
+        expect(() => provider.checkModeration('anything')).toThrow(
+            /not implemented/i,
+        );
+    });
+});
diff --git a/src/backend/drivers/ai-chat/providers/minimax/MiniMaxProvider.ts b/src/backend/drivers/ai-chat/providers/minimax/MiniMaxProvider.ts
new file mode 100644
index 000000000..13ed5ae58
--- /dev/null
+++ b/src/backend/drivers/ai-chat/providers/minimax/MiniMaxProvider.ts
@@ -0,0 +1,135 @@
+/*
+ * Copyright (C) 2024-present Puter Technologies Inc.
+ *
+ * This file is part of Puter.
+ *
+ * Puter is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU Affero General Public License as published
+ * by the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Affero General Public License for more details.
+ *
+ * You should have received a copy of the GNU Affero General Public License
+ * along with this program.  If not, see <https://www.gnu.org/licenses/>.
+ */
+
+import { OpenAI } from 'openai';
+import { ChatCompletionCreateParams } from 'openai/resources/index.js';
+import { Context } from '../../../../core/context.js';
+import type { MeteringService } from '../../../../services/metering/MeteringService.js';
+import type { IChatProvider, ICompleteArguments } from '../../types.js';
+import * as OpenAIUtil from '../../utils/OpenAIUtil.js';
+import { MINIMAX_MODELS } from './models.js';
+
+type MiniMaxConfig = {
+    apiKey: string;
+    apiBaseUrl?: string;
+};
+
+export class MiniMaxProvider implements IChatProvider {
+    #openai: OpenAI;
+
+    #meteringService: MeteringService;
+
+    #defaultModel = 'minimax-m2.7';
+
+    constructor(config: MiniMaxConfig, meteringService: MeteringService) {
+        this.#openai = new OpenAI({
+            apiKey: config.apiKey,
+            baseURL: config.apiBaseUrl ?? 'https://api.minimax.io/v1',
+        });
+        this.#meteringService = meteringService;
+    }
+
+    getDefaultModel() {
+        return this.#defaultModel;
+    }
+
+    models() {
+        return MINIMAX_MODELS;
+    }
+
+    list() {
+        const modelIds: string[] = [];
+        for (const model of this.models()) {
+            modelIds.push(model.id);
+            if (model.aliases) {
+                modelIds.push(...model.aliases);
+            }
+        }
+        return modelIds;
+    }
+
+    async complete({
+        messages,
+        stream,
+        model,
+        tools,
+        tool_choice,
+        max_tokens,
+        temperature,
+        top_p,
+    }: ICompleteArguments): ReturnType<IChatProvider['complete']> {
+        const actor = Context.get('actor');
+        const availableModels = this.models();
+        const modelUsed =
+            availableModels.find((m) =>
+                [m.id, ...(m.aliases || [])].includes(model),
+            ) || availableModels.find((m) => m.id === this.getDefaultModel())!;
+
+        messages = await OpenAIUtil.process_input_messages(messages);
+        const requestedMaxTokens = max_tokens ?? 1000;
+
+        const completion = await this.#openai.chat.completions.create({
+            messages,
+            model: modelUsed.apiModel,
+            ...(tools ? { tools } : {}),
+            ...(tool_choice !== undefined ? { tool_choice } : {}),
+            max_tokens: Math.min(requestedMaxTokens, modelUsed.max_tokens),
+            ...(temperature !== undefined ? { temperature } : {}),
+            ...(top_p !== undefined ? { top_p } : {}),
+            stream,
+            ...(stream
+                ? {
+                      stream_options: { include_usage: true },
+                  }
+                : {}),
+        } as ChatCompletionCreateParams);
+
+        return OpenAIUtil.handle_completion_output({
+            usage_calculator: ({ usage }) => {
+                const trackedUsage = usage
+                    ? OpenAIUtil.extractMeteredUsage(usage)
+                    : {
+                          prompt_tokens: 0,
+                          completion_tokens: 0,
+                          cached_tokens: 0,
+                      };
+                const costsOverride = Object.fromEntries(
+                    Object.entries(trackedUsage).map(([key, value]) => {
+                        return [key, value * Number(modelUsed.costs[key] ?? 0)];
+                    }),
+                );
+                this.#meteringService.utilRecordUsageObject(
+                    trackedUsage,
+                    actor!,
+                    `minimax:${modelUsed.id}`,
+                    costsOverride,
+                );
+                return trackedUsage;
+            },
+            stream,
+            completion,
+        });
+    }
+
+    checkModeration(
+        _text: string,
+    ): ReturnType<IChatProvider['checkModeration']> {
+        throw new Error('Method not implemented.');
+    }
+}
diff --git a/src/backend/drivers/ai-chat/providers/minimax/models.ts b/src/backend/drivers/ai-chat/providers/minimax/models.ts
new file mode 100644
index 000000000..92167fc0b
--- /dev/null
+++ b/src/backend/drivers/ai-chat/providers/minimax/models.ts
@@ -0,0 +1,89 @@
+/*
+ * Copyright (C) 2024-present Puter Technologies Inc.
+ *
+ * This file is part of Puter.
+ *
+ * Puter is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU Affero General Public License as published
+ * by the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Affero General Public License for more details.
+ *
+ * You should have received a copy of the GNU Affero General Public License
+ * along with this program.  If not, see <https://www.gnu.org/licenses/>.
+ */
+
+import type { IChatModel } from '../../types.js';
+
+const CENTS_PER_USD = 100;
+const MTOK = 1_000_000;
+const CONTEXT_WINDOW = 204_800;
+const MAX_OUTPUT_TOKENS = 196_608;
+
+type MiniMaxChatModel = IChatModel & {
+    apiModel: string;
+};
+
+const usdPerMToken = (
+    inputUsd: number,
+    outputUsd: number,
+    cachedReadUsd = 0,
+) => ({
+    tokens: MTOK,
+    prompt_tokens: inputUsd * CENTS_PER_USD,
+    completion_tokens: outputUsd * CENTS_PER_USD,
+    cached_tokens: cachedReadUsd * CENTS_PER_USD,
+});
+
+const minimaxModel = (
+    apiModel: string,
+    name: string,
+    costs: IChatModel['costs'],
+): MiniMaxChatModel => {
+    const id = apiModel.toLowerCase();
+    return {
+        puterId: `minimax:minimax/${id}`,
+        id,
+        apiModel,
+        name,
+        aliases: [`minimax/${id}`, apiModel, `minimax/${apiModel}`],
+        modalities: { input: ['text'], output: ['text'] },
+        open_weights: false,
+        tool_call: true,
+        context: CONTEXT_WINDOW,
+        max_tokens: MAX_OUTPUT_TOKENS,
+        costs_currency: 'usd-cents',
+        input_cost_key: 'prompt_tokens',
+        output_cost_key: 'completion_tokens',
+        costs,
+    };
+};
+
+// Hardcoded from MiniMax OpenAI-compatible API docs and pay-as-you-go pricing:
+// https://platform.minimax.io/docs/api-reference/text-openai-api
+// https://platform.minimax.io/docs/guides/pricing-paygo
+export const MINIMAX_MODELS: MiniMaxChatModel[] = [
+    minimaxModel('MiniMax-M2.7', 'MiniMax M2.7', usdPerMToken(0.3, 1.2, 0.06)),
+    minimaxModel(
+        'MiniMax-M2.7-highspeed',
+        'MiniMax M2.7 Highspeed',
+        usdPerMToken(0.6, 2.4, 0.06),
+    ),
+    minimaxModel('MiniMax-M2.5', 'MiniMax M2.5', usdPerMToken(0.3, 1.2, 0.03)),
+    minimaxModel(
+        'MiniMax-M2.5-highspeed',
+        'MiniMax M2.5 Highspeed',
+        usdPerMToken(0.6, 2.4, 0.03),
+    ),
+    minimaxModel('MiniMax-M2.1', 'MiniMax M2.1', usdPerMToken(0.3, 1.2, 0.03)),
+    minimaxModel(
+        'MiniMax-M2.1-highspeed',
+        'MiniMax M2.1 Highspeed',
+        usdPerMToken(0.6, 2.4, 0.03),
+    ),
+    minimaxModel('MiniMax-M2', 'MiniMax M2', usdPerMToken(0.3, 1.2, 0.03)),
+];
diff --git a/volatile/runtime/.gitignore b/volatile/runtime/.gitignore
deleted file mode 100644
index d6b7ef32c..000000000
--- a/volatile/runtime/.gitignore
+++ /dev/null
@@ -1,2 +0,0 @@
-*
-!.gitignore