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Add MiniMax M3.1 Flash preset and thinking controls #540

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2 changes: 1 addition & 1 deletion apps/app/src/app/defaults/models.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -18,8 +18,8 @@ export const RECOMMENDED_MODEL_PATTERNS: string[] = [
"gpt-5.5",
"kimi-k2.6",
"glm-5.2",
"minimax-m3.1-flash",
"minimax-m3",
"minimax-m2.7",
];

/**
Expand Down
4 changes: 3 additions & 1 deletion apps/app/src/react-app/domains/settings/minimax-config.tsx
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Original file line number Diff line number Diff line change
Expand Up @@ -63,7 +63,7 @@ function formatContextWindow(value: number) {
export function MiniMaxConfig(props: MiniMaxConfigProps) {
const [apiKey, setApiKey] = useState("");
const [endpointId, setEndpointId] = useState<MiniMaxEndpointId>("global-openai");
const [defaultModelId, setDefaultModelId] = useState(MINIMAX_PROVIDER.models[0].id);
const [defaultModelId, setDefaultModelId] = useState<string>(MINIMAX_PROVIDER.models[0].id);
const [setDefault, setSetDefault] = useState(true);
const [localError, setLocalError] = useState<string | null>(null);

Expand Down Expand Up @@ -192,7 +192,9 @@ export function MiniMaxConfig(props: MiniMaxConfigProps) {
<div className="mt-1 text-muted-foreground">
Context: {formatContextWindow(model.contextWindow)} - Input: {model.inputModalities.join(", ")}
</div>
<div className="mt-1 text-muted-foreground">Max output: {formatContextWindow(model.maxOutputTokens)}</div>
<div className="mt-1 text-muted-foreground">Thinking: {model.thinking.join(", ")}</div>
<div className="mt-1 text-muted-foreground">{model.pricingNote}</div>
</div>
))}
</div>
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48 changes: 38 additions & 10 deletions apps/app/src/react-app/domains/settings/minimax-provider.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,8 @@ export type MiniMaxEndpointId =
type MiniMaxModelPreset = {
id: string;
contextWindow: number;
maxOutputTokens: number;
pricingNote: string;
pricingUsdPerMillionTokens: {
input: number;
output: number;
Expand All @@ -31,28 +33,33 @@ export const MINIMAX_PROVIDER = {
name: "MiniMax",
models: [
{
id: "MiniMax-M3",
id: "MiniMax-M3.1-Flash",
contextWindow: 1_000_000,
maxOutputTokens: 524_288,
pricingNote: "USD per million tokens; cache-write pricing is not published.",
pricingUsdPerMillionTokens: {
input: 0.6,
output: 2.4,
cacheRead: 0.12,
input: 0.15,
output: 0.6,
cacheRead: 0.015,
cacheWrite: null,
},
inputModalities: ["text", "image", "video"],
thinking: ["adaptive", "disabled"],
thinking: ["adaptive"],
},
{
id: "MiniMax-M2.7",
contextWindow: 204_800,
id: "MiniMax-M3",
contextWindow: 1_000_000,
maxOutputTokens: 524_288,
// OpenCode's flat cost schema cannot represent the request-size pricing tiers.
pricingNote: "Standard pricing for input <=512k; above 512k: $0.60 input, $2.40 output, $0.12 cache read per million tokens. Priority costs 1.5x. Cache-write pricing is not published.",
pricingUsdPerMillionTokens: {
input: 0.3,
output: 1.2,
cacheRead: 0.06,
cacheWrite: 0.375,
cacheWrite: null,
},
inputModalities: ["text"],
thinking: ["always_on"],
inputModalities: ["text", "image", "video"],
thinking: ["adaptive", "disabled"],
},
] satisfies readonly MiniMaxModelPreset[],
} as const;
Expand Down Expand Up @@ -102,11 +109,32 @@ export function buildMiniMaxProviderConfig(endpointId: MiniMaxEndpointId) {
const endpoint = getMiniMaxEndpoint(endpointId);
const models = Object.fromEntries(
MINIMAX_PROVIDER.models.map((model) => {
const flash = model.id === "MiniMax-M3.1-Flash";
const effortOptions = (effort: string) => endpoint.protocol === "anthropic"
? { thinking: { type: "adaptive" }, effort }
: { thinking: { type: "adaptive" }, reasoningEffort: effort };
const modelConfig = {
id: model.id,
name: model.id,
attachment: model.inputModalities.some((modality) => modality !== "text"),
reasoning: model.thinking.length > 0,
limit: { context: model.contextWindow, output: model.maxOutputTokens },
options: flash
? effortOptions("max")
: { thinking: { type: endpoint.protocol === "anthropic" ? "disabled" : "adaptive" } },
variants: flash
? {
// Override OpenCode's inherited M3 variants: Flash cannot disable thinking.
none: { disabled: true },
thinking: { disabled: true },
...Object.fromEntries(["low", "medium", "high", "xhigh", "max"].map(
(effort) => [effort, effortOptions(effort)],
)),
}
: {
none: { thinking: { type: "disabled" } },
thinking: { thinking: { type: "adaptive" } },
},
cost: {
input: model.pricingUsdPerMillionTokens.input,
output: model.pricingUsdPerMillionTokens.output,
Expand Down
89 changes: 42 additions & 47 deletions apps/app/tests/minimax-provider.test.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -45,54 +45,48 @@ describe("MiniMax provider preset", () => {
]);
});

test("keeps both current model fact sets without inventing an output limit", () => {
expect(MINIMAX_PROVIDER.models).toEqual([
{
id: "MiniMax-M3",
contextWindow: 1_000_000,
pricingUsdPerMillionTokens: {
input: 0.6,
output: 2.4,
cacheRead: 0.12,
cacheWrite: null,
},
inputModalities: ["text", "image", "video"],
thinking: ["adaptive", "disabled"],
},
{
id: "MiniMax-M2.7",
contextWindow: 204_800,
pricingUsdPerMillionTokens: {
input: 0.3,
output: 1.2,
cacheRead: 0.06,
cacheWrite: 0.375,
},
inputModalities: ["text"],
thinking: ["always_on"],
},
test("offers Flash first and carries verified limits and baseline prices", () => {
expect(MINIMAX_PROVIDER.models.map((model) => model.id)).toEqual([
"MiniMax-M3.1-Flash", "MiniMax-M3",
]);

const models = buildMiniMaxProviderConfig("global-openai").models;
expect(models?.["MiniMax-M3"]).toMatchObject({
attachment: true,
reasoning: true,
cost: { input: 0.6, output: 2.4, cache_read: 0.12 },
modalities: { input: ["text", "image", "video"] },
});
expect(models?.["MiniMax-M3"]?.cost).not.toHaveProperty("cache_write");
expect(models?.["MiniMax-M3"]).not.toHaveProperty("limit");
expect(models?.["MiniMax-M2.7"]).toMatchObject({
attachment: false,
reasoning: true,
cost: {
input: 0.3,
output: 1.2,
cache_read: 0.06,
cache_write: 0.375,
},
modalities: { input: ["text"] },
});
expect(Object.keys(models)).toEqual(["MiniMax-M3.1-Flash", "MiniMax-M3"]);
for (const model of Object.values(models)) {
expect(model).toMatchObject({
attachment: true,
reasoning: true,
limit: { context: 1_000_000, output: 524_288 },
modalities: { input: ["text", "image", "video"] },
});
expect(model.cost).not.toHaveProperty("cache_write");
}
expect(models["MiniMax-M3.1-Flash"].cost).toEqual({ input: 0.15, output: 0.6, cache_read: 0.015 });
expect(models["MiniMax-M3"].cost).toEqual({ input: 0.3, output: 1.2, cache_read: 0.06 });
expect(MINIMAX_PROVIDER.models[1].pricingNote).toContain("above 512k");
expect(MINIMAX_PROVIDER.models[1].pricingNote).toContain("1.5x");
});

test("maps effort by protocol and suppresses inherited Flash off variants", () => {
for (const endpoint of MINIMAX_ENDPOINTS) {
const models = buildMiniMaxProviderConfig(endpoint.id).models;
const flash = models["MiniMax-M3.1-Flash"];
const effortField = endpoint.protocol === "anthropic" ? "effort" : "reasoningEffort";
expect(flash.options).toEqual({ thinking: { type: "adaptive" }, [effortField]: "max" });
expect(flash.variants.none).toEqual({ disabled: true });
expect(flash.variants.thinking).toEqual({ disabled: true });
for (const effort of ["low", "medium", "high", "xhigh", "max"]) {
expect(flash.variants[effort]).toEqual({ thinking: { type: "adaptive" }, [effortField]: effort });
}
expect(models["MiniMax-M3"].options).toEqual({
thinking: { type: endpoint.protocol === "anthropic" ? "disabled" : "adaptive" },
});
expect(models["MiniMax-M3"].variants).toEqual({
none: { thinking: { type: "disabled" } },
thinking: { thinking: { type: "adaptive" } },
});
expect(JSON.stringify(models)).not.toContain("service_tier");
expect(JSON.stringify(models)).not.toContain("reasoning_split");
}
});

test("builds the selected OpenCode provider package and API endpoint", () => {
Expand Down Expand Up @@ -126,7 +120,8 @@ describe("MiniMax provider preset", () => {
ref: "ipollowork.minimax.settings",
location: "settings-detail",
});
expect(isRecommendedModel("MiniMax-M3.1-Flash")).toBe(true);
expect(isRecommendedModel("MiniMax-M3")).toBe(true);
expect(isRecommendedModel("MiniMax-M2.7")).toBe(true);
expect(isRecommendedModel("MiniMax-M2.7")).toBe(false);
});
});
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