diff --git a/README.md b/README.md
index bd530e4..00b0bc5 100644
--- a/README.md
+++ b/README.md
@@ -347,7 +347,8 @@ status report instead of JSON. Single-file outputs get a per-file
 task that is not yet SUCCEEDED yields `downloads.state: "not_ready"` with exit 0.
 
 ```bash
-meshy-cli text-to-image create --ai-model nano-banana --prompt "a leaf" -o assets/leaf.jpeg
+meshy-cli text-to-image create --ai-model nano-banana-2-lite --prompt "a leaf" -o assets/leaf.jpeg
+meshy-cli text-to-image create --ai-model gpt-image-2-5-sunburst --aspect-ratio 3:2 --prompt "a leaf" -o assets/leaf-wide.png
 meshy-cli image-to-3d wait <id> -o out/robot/
 ```
 
diff --git a/src/internal/image-models.ts b/src/internal/image-models.ts
index fd691f4..22c3533 100644
--- a/src/internal/image-models.ts
+++ b/src/internal/image-models.ts
@@ -1,37 +1,50 @@
 /**
  * Shared model/aspect-ratio table for the 2D image commands, so text-to-image
  * and image-to-image can't drift apart as Meshy ships new models.
+ *
+ * The ratio rules mirror the server's own per-model check
+ * (meshyd pkg/server/api_image_generation_handlers.go): every GPT Image model
+ * accepts all seven ratios; the nano-banana family rejects 3:2 and 2:3.
  */
 
 import { UsageError } from "./errors.js";
 
 export const IMAGE_MODELS = [
   "gpt-image-2",
+  "gpt-image-2-5-flare",
+  "gpt-image-2-5-sunburst",
   "nano-banana-pro",
   "nano-banana-2",
   "nano-banana-2-lite",
-  "nano-banana",
 ] as const;
 
 export const DEFAULT_IMAGE_MODEL = "gpt-image-2";
 
+/** OpenAI GPT Image models of any generation — the ones that take every aspect ratio. */
+export const GPT_IMAGE_MODELS = ["gpt-image-2", "gpt-image-2-5-flare", "gpt-image-2-5-sunburst"] as const;
+
 export const IMAGE_MODEL_HELP =
-  "gpt-image-2 (default, best; ratios 1:1|16:9|9:16|3:2|2:3) | nano-banana-pro | nano-banana-2 | " +
-  "nano-banana-2-lite (fastest, cheapest) | nano-banana (legacy)";
+  "gpt-image-2 (default) | gpt-image-2-5-flare (GPT Image 2.5, fast tier) | " +
+  "gpt-image-2-5-sunburst (GPT Image 2.5, precision-edit tier) | nano-banana-pro | " +
+  "nano-banana-2 | nano-banana-2-lite (fastest, cheapest)";
 
 export const ASPECT_RATIOS = ["1:1", "16:9", "9:16", "4:3", "3:4", "3:2", "2:3"] as const;
 
 export const ASPECT_RATIO_HELP =
-  "default: 1:1. nano-banana*: 1:1|16:9|9:16|4:3|3:4. " +
-  "gpt-image-2: 1:1|16:9|9:16|3:2|2:3. " +
+  "default: 1:1. gpt-image-*: 1:1|16:9|9:16|4:3|3:4|3:2|2:3. " +
+  "nano-banana*: 1:1|16:9|9:16|4:3|3:4. " +
   "Mutually exclusive with --generate-multi-view";
 
-const GPT_IMAGE_2_RATIOS = new Set(["1:1", "16:9", "9:16", "3:2", "2:3"]);
-const NANO_BANANA_RATIOS = new Set(["1:1", "16:9", "9:16", "4:3", "3:4"]);
+const GPT_IMAGE_MODEL_SET: ReadonlySet<string> = new Set(GPT_IMAGE_MODELS);
+const NANO_BANANA_RATIOS: ReadonlySet<string> = new Set(["1:1", "16:9", "9:16", "4:3", "3:4"]);
+
+export function isGptImageModel(model: string): boolean {
+  return GPT_IMAGE_MODEL_SET.has(model);
+}
 
 /**
  * Cross-validate model × aspect-ratio × multi-view before any credits are
- * spent; the API's own 400 is less specific. When the model is unknown at
+ * spent, with a message that names the fix. When the model is unknown at
  * parse time (driven via --data), the ratio check is left to the server.
  */
 export function checkImageCombo(opts: {
@@ -44,12 +57,12 @@ export function checkImageCombo(opts: {
   }
   const ratio = opts.aspectRatio;
   if (!ratio || !opts.aiModel) return;
-  const supported = opts.aiModel === "gpt-image-2" ? GPT_IMAGE_2_RATIOS : NANO_BANANA_RATIOS;
-  if (!supported.has(ratio)) {
+  // GPT Image models (2 and 2.5) accept every ratio the flag offers; only the
+  // nano-banana family is narrower.
+  if (isGptImageModel(opts.aiModel)) return;
+  if (!NANO_BANANA_RATIOS.has(ratio)) {
     throw new UsageError(
-      opts.aiModel === "gpt-image-2"
-        ? `--aspect-ratio ${ratio} is not supported by gpt-image-2 (use 1:1, 16:9, 9:16, 3:2, or 2:3)`
-        : `--aspect-ratio ${ratio} is only supported by gpt-image-2`,
+      `--aspect-ratio ${ratio} is only supported by the GPT Image models (${GPT_IMAGE_MODELS.join(", ")})`,
     );
   }
 }
diff --git a/tests/image-models.test.ts b/tests/image-models.test.ts
index f780fdc..21ba7b2 100644
--- a/tests/image-models.test.ts
+++ b/tests/image-models.test.ts
@@ -4,44 +4,65 @@
 
 import test from "node:test";
 import assert from "node:assert/strict";
-import { checkImageCombo, DEFAULT_IMAGE_MODEL, IMAGE_MODELS } from "../src/internal/image-models.js";
+import {
+  ASPECT_RATIOS,
+  checkImageCombo,
+  DEFAULT_IMAGE_MODEL,
+  GPT_IMAGE_MODELS,
+  IMAGE_MODELS,
+  isGptImageModel,
+} from "../src/internal/image-models.js";
 import { UsageError } from "../src/internal/errors.js";
 
+const NANO_BANANA_MODELS = ["nano-banana-2", "nano-banana-2-lite", "nano-banana-pro"];
+
 test("gpt-image-2 is the default model and part of the model list", () => {
   assert.equal(DEFAULT_IMAGE_MODEL, "gpt-image-2");
   assert.ok((IMAGE_MODELS as readonly string[]).includes(DEFAULT_IMAGE_MODEL));
 });
 
+test("the model list covers both GPT Image 2.5 tiers", () => {
+  for (const model of ["gpt-image-2-5-flare", "gpt-image-2-5-sunburst"]) {
+    assert.ok((IMAGE_MODELS as readonly string[]).includes(model), `missing ${model}`);
+    assert.ok((GPT_IMAGE_MODELS as readonly string[]).includes(model), `${model} is not a GPT Image model`);
+    assert.ok(isGptImageModel(model));
+  }
+  // Every model is classified exactly one way, so a new entry can't fall
+  // through the ratio check unnoticed.
+  for (const model of IMAGE_MODELS) {
+    assert.equal(isGptImageModel(model), !NANO_BANANA_MODELS.includes(model), model);
+  }
+});
+
 test("checkImageCombo — multi-view excludes aspect-ratio", () => {
   assert.throws(
-    () => checkImageCombo({ aiModel: "nano-banana", aspectRatio: "1:1", generateMultiView: true }),
+    () => checkImageCombo({ aiModel: "nano-banana-2-lite", aspectRatio: "1:1", generateMultiView: true }),
     UsageError,
   );
   // multi-view without a ratio is fine
-  checkImageCombo({ aiModel: "nano-banana", generateMultiView: true });
+  checkImageCombo({ aiModel: "nano-banana-2-lite", generateMultiView: true });
 });
 
-test("checkImageCombo — gpt-image-2 accepts square, widescreen, and native ratios", () => {
-  for (const ratio of ["1:1", "16:9", "9:16", "3:2", "2:3"]) {
-    checkImageCombo({ aiModel: "gpt-image-2", aspectRatio: ratio });
-  }
-  for (const ratio of ["4:3", "3:4"]) {
-    assert.throws(
-      () => checkImageCombo({ aiModel: "gpt-image-2", aspectRatio: ratio }),
-      /not supported by gpt-image-2/,
-    );
+test("checkImageCombo — every GPT Image model accepts every aspect ratio the flag offers", () => {
+  // Mirrors meshyd: the server's per-model check lets gpt-image-2 and both 2.5
+  // tiers through for 1:1/16:9/9:16/4:3/3:4/3:2/2:3 (verified live: gpt-image-2
+  // + 4:3 is accepted with 202).
+  for (const model of GPT_IMAGE_MODELS) {
+    for (const ratio of ASPECT_RATIOS) {
+      checkImageCombo({ aiModel: model, aspectRatio: ratio });
+    }
   }
 });
 
-test("checkImageCombo — nano-banana family accepts photo/video ratios, not gpt-only ones", () => {
-  for (const model of ["nano-banana", "nano-banana-2", "nano-banana-2-lite", "nano-banana-pro"]) {
+test("checkImageCombo — nano-banana family accepts photo/video ratios, not the GPT-only ones", () => {
+  for (const model of NANO_BANANA_MODELS) {
     for (const ratio of ["1:1", "16:9", "9:16", "4:3", "3:4"]) {
       checkImageCombo({ aiModel: model, aspectRatio: ratio });
     }
     for (const ratio of ["3:2", "2:3"]) {
       assert.throws(
         () => checkImageCombo({ aiModel: model, aspectRatio: ratio }),
-        /only supported by gpt-image-2/,
+        /only supported by the GPT Image models \(gpt-image-2, gpt-image-2-5-flare, gpt-image-2-5-sunburst\)/,
       );
     }
   }
@@ -58,6 +79,9 @@ test("checkImageCombo — unknown model (driven via --data) defers the ratio che
   assert.throws(() => checkImageCombo({ aspectRatio: "16:9", generateMultiView: true }), UsageError);
 });
 
-test("the model list includes nano-banana-2-lite", () => {
+test("the model list includes nano-banana-2-lite and no longer offers the original nano-banana", () => {
   assert.ok((IMAGE_MODELS as readonly string[]).includes("nano-banana-2-lite"));
+  // The first-generation model was dropped from the flag surface on 2026-09-15;
+  // the API still accepts it, so --data '{"ai_model":"nano-banana"}' remains the escape hatch.
+  assert.ok(!(IMAGE_MODELS as readonly string[]).includes("nano-banana"));
 });
diff --git a/tests/surface.test.ts b/tests/surface.test.ts
index 798c719..f7c3424 100644
--- a/tests/surface.test.ts
+++ b/tests/surface.test.ts
@@ -141,6 +141,9 @@ test("2D image commands default to gpt-image-2 and share the aspect-ratio surfac
     assert.equal(model?.defaultValue, undefined, resource);
     assert.match(model?.description ?? "", /gpt-image-2 \(default/, resource);
     assert.ok(model?.argChoices?.includes("nano-banana-2-lite"), `${resource} lost nano-banana-2-lite`);
+    for (const tier of ["gpt-image-2-5-flare", "gpt-image-2-5-sunburst"]) {
+      assert.ok(model?.argChoices?.includes(tier), `${resource} is missing ${tier}`);
+    }
     assert.ok(createFlags(resource).has("--aspect-ratio"), `${resource} is missing --aspect-ratio`);
   }
 });