diff --git a/.github/workflows/sync-models.yml b/.github/workflows/sync-models.yml
index 287d82dc40..20da3e8447 100644
--- a/.github/workflows/sync-models.yml
+++ b/.github/workflows/sync-models.yml
@@ -77,6 +77,7 @@ jobs:
           GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
           GOOGLE_GENERATIVE_AI_API_KEY: ${{ secrets.GOOGLE_GENERATIVE_AI_API_KEY }}
           XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
+          HYPER_API_KEY: ${{ secrets.HYPER_API_KEY }}
           CLOUDFLARE_WORKERS_AI_SYNC_ACCOUNT_ID: ${{ secrets.CLOUDFLARE_WORKERS_AI_SYNC_ACCOUNT_ID }}
           CLOUDFLARE_WORKERS_AI_SYNC_API_TOKEN: ${{ secrets.CLOUDFLARE_WORKERS_AI_SYNC_API_TOKEN }}
 
diff --git a/packages/core/src/sync/index.ts b/packages/core/src/sync/index.ts
index e67f3144f4..c61a95b56a 100644
--- a/packages/core/src/sync/index.ts
+++ b/packages/core/src/sync/index.ts
@@ -12,6 +12,7 @@ import { crossmodel } from "./providers/crossmodel.js";
 import { deepinfra } from "./providers/deepinfra.js";
 import { digitalocean } from "./providers/digitalocean.js";
 import { google } from "./providers/google.js";
+import { hyper } from "./providers/hyper.js";
 import { huggingface } from "./providers/huggingface.js";
 import { llmgateway } from "./providers/llmgateway.js";
 import { openai } from "./providers/openai.js";
@@ -97,6 +98,7 @@ export const providers: {
   deepinfra: SyncProvider<any>;
   digitalocean: SyncProvider<any>;
   google: SyncProvider<any>;
+  hyper: SyncProvider<any>;
   huggingface: SyncProvider<any>;
   llmgateway: SyncProvider<any>;
   openai: SyncProvider<any>;
@@ -115,6 +117,7 @@ export const providers: {
   deepinfra,
   digitalocean,
   google,
+  hyper,
   huggingface,
   llmgateway,
   openai,
@@ -129,7 +132,7 @@ export const providers: {
 export const groups = {
   aggregators: ["crossmodel", "huggingface", "llmgateway", "openrouter", "vercel"],
   cloudflare: ["cloudflare-workers-ai"],
-  direct: ["anthropic", "baseten", "chutes", "deepinfra", "digitalocean", "google", "openai", "ovhcloud", "venice", "wandb", "xai"],
+  direct: ["anthropic", "baseten", "chutes", "deepinfra", "digitalocean", "google", "hyper", "openai", "ovhcloud", "venice", "wandb", "xai"],
 } as const;
 
 type ProviderID = keyof typeof providers;
diff --git a/packages/core/src/sync/providers/hyper.ts b/packages/core/src/sync/providers/hyper.ts
new file mode 100644
index 0000000000..9eb3751082
--- /dev/null
+++ b/packages/core/src/sync/providers/hyper.ts
@@ -0,0 +1,252 @@
+import { z } from "zod";
+
+import type { ExistingModel, SyncProvider, SyncedFullModel, SyncedModel } from "../index.js";
+import { factorBaseModel } from "./openrouter.js";
+import { resolveVeniceBaseModel } from "./venice.js";
+
+const API_ENDPOINT = "https://hyper.charm.land/v1/models";
+const PROVIDER_ENDPOINT = "https://hyper.charm.land/v1/provider";
+
+const PricingValue = z.union([z.string(), z.number()]);
+
+const Pricing = z.object({
+  prompt: PricingValue.optional(),
+  completion: PricingValue.optional(),
+  input_cache_read: PricingValue.optional(),
+  input_cache_reads: PricingValue.optional(),
+  input_cache_write: PricingValue.optional(),
+  input_cache_writes: PricingValue.optional(),
+  internal_reasoning: PricingValue.optional(),
+}).passthrough();
+
+const ReasoningEffort = z.enum([
+  "default",
+  "max",
+  "low",
+  "high",
+  "none",
+  "medium",
+  "minimal",
+  "xhigh",
+]);
+
+export const HyperModel = z.object({
+  id: z.string(),
+  created: z.number(),
+  display_name: z.string(),
+  supports_reasoning: z.boolean(),
+  supports_reasoning_effort: z.boolean(),
+  reasoning_effort_levels: z.array(z.string()).optional(),
+  supports_attachments: z.boolean(),
+  context_window: z.number(),
+  max_output_tokens: z.number(),
+  pricing: Pricing.optional(),
+  cost_per_1m_in: z.number().optional(),
+  cost_per_1m_out: z.number().optional(),
+  cost_per_1m_in_cached: z.number().optional(),
+  cost_per_1m_out_cached: z.number().optional(),
+}).passthrough();
+
+export const HyperResponse = z.object({
+  data: z.array(HyperModel),
+}).passthrough();
+
+const HyperProviderModel = z.object({
+  id: z.string(),
+  cost_per_1m_in: z.number(),
+  cost_per_1m_out: z.number(),
+  cost_per_1m_in_cached: z.number().optional(),
+  cost_per_1m_out_cached: z.number().optional(),
+}).passthrough();
+
+const HyperProviderResponse = z.object({
+  models: z.array(HyperProviderModel),
+}).passthrough();
+
+export type HyperModel = z.infer<typeof HyperModel>;
+
+const BASE_MODEL_ALIASES: Record<string, string> = {
+  "llama-4-maverick-17b-128e-instruct-fp8": "meta/llama-4-maverick-17b-instruct",
+  "minimax-m2.7": "minimax/MiniMax-M2.7",
+  "qwen3-coder-480b-a35b-instruct-int4-mixed-ar": "alibaba/qwen3-coder-480b-a35b-instruct",
+  "qwen3.6-max": "alibaba/qwen3.6-max-preview",
+};
+
+export const hyper = {
+  id: "hyper",
+  name: "Charm Hyper",
+  modelsDir: "providers/hyper/models",
+  preserveBaseModels: false,
+  async fetchModels() {
+    const headers = process.env.HYPER_API_KEY !== undefined
+      ? { Authorization: `Bearer ${process.env.HYPER_API_KEY}` }
+      : undefined;
+    const [modelsResponse, providerResponse] = await Promise.all([
+      fetch(API_ENDPOINT, { headers }),
+      fetch(PROVIDER_ENDPOINT),
+    ]);
+    if (!modelsResponse.ok) {
+      throw new Error(`Hyper models request failed: ${modelsResponse.status} ${modelsResponse.statusText}`);
+    }
+
+    const modelsRaw = await modelsResponse.json();
+    const parsed = HyperResponse.parse(modelsRaw);
+    if (!providerResponse.ok) return modelsRaw;
+
+    const pricingById = new Map(
+      HyperProviderResponse.parse(await providerResponse.json()).models.map((model) => [model.id, model]),
+    );
+
+    return {
+      ...modelsRaw,
+      data: parsed.data.map((model) => enrichPricing(model, pricingById.get(model.id))),
+    };
+  },
+  parseModels(raw) {
+    return HyperResponse.parse(raw).data;
+  },
+  translateModel(model, context) {
+    const authored = context.authored(model.id);
+    const baseModel = authored?.base_model
+      ?? BASE_MODEL_ALIASES[model.id]
+      ?? resolveVeniceBaseModel(model.id, model.display_name)
+      ?? undefined;
+    return {
+      id: model.id,
+      model: buildHyperModel(model, authored, baseModel),
+    };
+  },
+} satisfies SyncProvider<HyperModel>;
+
+function dateFromTimestamp(timestamp: number) {
+  return new Date(timestamp * 1000).toISOString().slice(0, 10);
+}
+
+function reasoningOptions(model: HyperModel) {
+  if (!model.supports_reasoning) return [];
+  if (model.supports_reasoning_effort) {
+    const values = model.reasoning_effort_levels?.filter(isReasoningEffort) ?? [];
+    if (values.length > 0) return [{ type: "effort" as const, values }];
+  }
+  // Hyper advertises reasoning but documents no toggle or effort control for these models.
+  return [];
+}
+
+function isReasoningEffort(value: string): value is z.infer<typeof ReasoningEffort> {
+  return ReasoningEffort.safeParse(value).success;
+}
+
+function hasApiPricing(model: HyperModel) {
+  return (
+    model.pricing?.prompt !== undefined && model.pricing?.completion !== undefined
+  ) || (
+    model.cost_per_1m_in !== undefined && model.cost_per_1m_out !== undefined
+  );
+}
+
+function enrichPricing(
+  model: HyperModel,
+  provider: z.infer<typeof HyperProviderModel> | undefined,
+): HyperModel {
+  if (hasApiPricing(model) || provider === undefined) return model;
+  return {
+    ...model,
+    cost_per_1m_in: provider.cost_per_1m_in,
+    cost_per_1m_out: provider.cost_per_1m_out,
+    cost_per_1m_in_cached: provider.cost_per_1m_in_cached,
+    cost_per_1m_out_cached: provider.cost_per_1m_out_cached,
+  };
+}
+
+function parsePrice(value: string | number | undefined) {
+  if (value === undefined) return undefined;
+  if (typeof value === "number") {
+    return Number.isFinite(value) && value >= 0 ? value : undefined;
+  }
+  const number = Number(value);
+  return Number.isFinite(number) && number >= 0
+    ? Math.round(number * 1_000_000_000_000) / 1_000_000
+    : undefined;
+}
+
+function positivePrice(value: number | undefined) {
+  return value !== undefined && value > 0 ? value : undefined;
+}
+
+function buildCost(model: HyperModel, existing: ExistingModel["cost"] | undefined) {
+  const fromProviderFields = model.cost_per_1m_in !== undefined && model.cost_per_1m_out !== undefined
+    ? {
+        input: model.cost_per_1m_in,
+        output: model.cost_per_1m_out,
+        // Hyper /provider names these fields by token direction, not catalog semantics:
+        // out_cached is the cheap cache-hit read price; in_cached is the cache-write price.
+        cache_read: model.cost_per_1m_out_cached,
+        cache_write: model.cost_per_1m_in_cached,
+        reasoning: undefined as number | undefined,
+      }
+    : undefined;
+
+  const pricing = model.pricing;
+  const fromPricingObject = pricing?.prompt !== undefined && pricing?.completion !== undefined
+    ? {
+        input: parsePrice(pricing.prompt),
+        output: parsePrice(pricing.completion),
+        cache_read: parsePrice(pricing.input_cache_read ?? pricing.input_cache_reads),
+        cache_write: parsePrice(pricing.input_cache_write ?? pricing.input_cache_writes),
+        reasoning: parsePrice(pricing.internal_reasoning),
+      }
+    : undefined;
+
+  const resolved = fromProviderFields ?? fromPricingObject;
+  if (resolved?.input === undefined || resolved.output === undefined) return existing;
+
+  const providerPricing = fromProviderFields !== undefined;
+
+  return {
+    input: resolved.input,
+    output: resolved.output,
+    cache_read: providerPricing
+      ? positivePrice(resolved.cache_read)
+      : positivePrice(resolved.cache_read) ?? existing?.cache_read,
+    cache_write: providerPricing
+      ? positivePrice(resolved.cache_write)
+      : positivePrice(resolved.cache_write) ?? existing?.cache_write,
+    reasoning: positivePrice(resolved.reasoning) ?? existing?.reasoning,
+    input_audio: existing?.input_audio,
+    output_audio: existing?.output_audio,
+    tiers: existing?.tiers,
+  };
+}
+
+export function buildHyperModel(
+  model: HyperModel,
+  authored: ExistingModel | undefined,
+  baseModel: string | undefined,
+  today = new Date().toISOString().slice(0, 10),
+): SyncedModel {
+  const limit = {
+    context: model.context_window,
+    input: authored?.limit?.input,
+    output: model.max_output_tokens,
+  };
+  const values: Partial<SyncedFullModel> = {
+    name: authored?.name ?? model.display_name,
+    attachment: model.supports_attachments,
+    reasoning: model.supports_reasoning,
+    reasoning_options: reasoningOptions(model),
+    release_date: authored?.release_date ?? dateFromTimestamp(model.created),
+    last_updated: authored?.last_updated ?? today,
+    interleaved: authored?.interleaved,
+    cost: buildCost(model, authored?.cost),
+    limit,
+    modalities: model.supports_attachments
+      ? authored?.modalities
+      : authored?.modalities ?? { input: ["text"], output: ["text"] },
+  };
+
+  if (baseModel === undefined) {
+    throw new Error(`Hyper model ${model.id} has no matching base_model metadata`);
+  }
+
+  return factorBaseModel(baseModel, values, limit, authored?.base_model_omit);
+}
diff --git a/packages/core/test/sync.test.ts b/packages/core/test/sync.test.ts
index 61bb21792c..7ed7ba30ee 100644
--- a/packages/core/test/sync.test.ts
+++ b/packages/core/test/sync.test.ts
@@ -30,8 +30,77 @@ import { openai, parseOpenAIModels } from "../src/sync/providers/openai.js";
 import { resolveVeniceBaseModel } from "../src/sync/providers/venice.js";
 import { buildVercelModel, vercel } from "../src/sync/providers/vercel.js";
 import { buildWandbModel, type WandbModel } from "../src/sync/providers/wandb.js";
+import { buildHyperModel, type HyperModel } from "../src/sync/providers/hyper.js";
 import { buildXAIModel } from "../src/sync/providers/xai.js";
 
+test("syncs Hyper cache read and write from provider pricing fields", () => {
+  const model = hyperModel({
+    id: "qwen3.6-flash",
+    cost_per_1m_in: 1,
+    cost_per_1m_out: 4,
+    cost_per_1m_in_cached: 1.25,
+    cost_per_1m_out_cached: 0.1,
+  });
+
+  expect(buildHyperModel(model, undefined, "alibaba/qwen3.6-flash")).toMatchObject({
+    cost: { input: 1, output: 4, cache_read: 0.1, cache_write: 1.25 },
+  });
+});
+
+test("preserves hand-authored Hyper cost fields the API does not expose", () => {
+  const existing = {
+    cost: {
+      input: 1,
+      output: 2,
+      cache_write: 0.375,
+      tiers: [{ tier: { type: "context" as const, size: 200_000 }, input: 3, output: 4 }],
+    },
+    release_date: "2026-01-01",
+    last_updated: "2026-01-01",
+  };
+
+  expect(buildHyperModel(hyperModel({
+    id: "minimax-m2.7",
+    cost_per_1m_in: 0.82,
+    cost_per_1m_out: 2.64,
+    cost_per_1m_in_cached: 0.41,
+    cost_per_1m_out_cached: 0,
+  }), existing, "minimax/MiniMax-M2.7")).toMatchObject({
+    cost: {
+      input: 0.82,
+      output: 2.64,
+      cache_write: 0.41,
+      tiers: existing.cost.tiers,
+    },
+  });
+});
+
+test("emits text-only modalities when Hyper disables attachments", () => {
+  const built = buildHyperModel(hyperModel({
+    id: "gemma-4-26b-a4b-it",
+    supports_attachments: false,
+  }), undefined, "google/gemma-4-26b-a4b-it");
+
+  expect(built).toMatchObject({
+    attachment: false,
+    modalities: { input: ["text"] },
+  });
+});
+
+test("defaults Hyper reasoning models without effort levels to empty reasoning options", () => {
+  expect(buildHyperModel(hyperModel({ supports_reasoning_effort: false }), undefined, "minimax/MiniMax-M2.7"))
+    .toMatchObject({ reasoning_options: [] });
+});
+
+test("preserves Hyper display name overrides", () => {
+  expect(buildHyperModel(hyperModel({
+    id: "qwen3.6-max",
+    display_name: "Qwen3.6-Max",
+  }), { name: "Qwen3.6-Max" }, "alibaba/qwen3.6-max-preview")).toMatchObject({
+    name: "Qwen3.6-Max",
+  });
+});
+
 function anthropicModel(overrides: Partial<AnthropicModel> = {}): AnthropicModel {
   return {
     id: "claude-sonnet-5",
@@ -1061,6 +1130,21 @@ function llmGatewayModel(overrides: Partial<LLMGatewayModel> = {}): LLMGatewayMo
   };
 }
 
+function hyperModel(overrides: Partial<HyperModel> = {}): HyperModel {
+  return {
+    id: "deepseek-v4-flash",
+    created: 1_780_592_628,
+    display_name: "DeepSeek V4 Flash",
+    supports_reasoning: true,
+    supports_reasoning_effort: true,
+    reasoning_effort_levels: ["high", "xhigh"],
+    supports_attachments: false,
+    context_window: 1_000_000,
+    max_output_tokens: 384_000,
+    ...overrides,
+  };
+}
+
 function openRouterModel(overrides: Partial<OpenRouterModel> = {}): OpenRouterModel {
   return {
     id: "anthropic/claude-sonnet-5",
diff --git a/providers/hyper/logo.svg b/providers/hyper/logo.svg
new file mode 100644
index 0000000000..ca3977b6eb
--- /dev/null
+++ b/providers/hyper/logo.svg
@@ -0,0 +1,18 @@
+<svg width="24" height="24" viewBox="68 50 1800 526" fill="none" xmlns="http://www.w3.org/2000/svg" aria-label="Hyper">
+  <g transform="translate(-248.07,-923.17) scale(2.5)" fill="currentColor">
+    <path d="M281.492 434.94C283.744 434.94 285.832 433.996 287.46 432.672C288.46 431.852 289.492 432.076 289.7 433.036C289.78 433.392 289.796 433.772 289.796 434.156C289.796 438.404 286.408 443.492 277.848 443.492C270.884 443.492 266.1 440.404 266.928 431.004L267.76 421.476C268.268 415.492 270.504 410.408 274.852 407.576C277.152 406.096 280.084 405.26 283.66 405.26C289.28 405.26 291.068 407.512 291.068 409.96C291.068 411.472 290.352 413.072 289.24 413.984C289.136 414.068 288.944 414.132 288.74 414.096C287.76 413.92 286.828 413.824 285.896 413.824C283.852 413.824 282 414.272 280.66 415.496C279.512 416.524 278.744 418.132 278.552 420.388L277.66 430.172C277.404 432.936 278.232 434.94 281.492 434.94Z"/>
+    <path d="M321.884 413.368L319.836 437.18C319.648 439.176 319.008 440.72 317.6 441.56C315.428 442.912 313.388 443.492 311.472 443.492C309.556 443.492 308.728 442.4 308.852 441.048L310.9 417.108C311.028 415.816 310.644 415.172 309.556 415.172C308.852 415.172 307.768 415.364 307.256 415.684C306.172 416.332 305.724 417.04 305.596 418.196L303.94 437.376C303.748 439.564 302.792 440.916 301.448 441.82C299.532 443.108 297.296 443.492 295.384 443.492C293.472 443.492 292.828 442.4 293.02 440.34L296.724 397.6C296.916 395.6 297.556 393.868 298.964 393.028C301.004 391.804 303.172 391.228 305.092 391.228C306.88 391.228 307.9 392.192 307.772 393.484C307.772 393.484 306.304 409.02 306.26 409.3C306.216 409.576 306.612 409.976 307.008 409.508C307.62 408.784 308.732 407.644 309.624 407C311.348 405.84 313.264 405.26 315.436 405.26C320.1 405.26 322.4 407.708 321.888 413.372L321.884 413.368Z"/>
+    <path d="M350.424 405.908C349.024 405.524 346.724 405.264 344.168 405.264C339.376 405.264 335.288 406.744 332.096 408.932C328.52 411.38 326.284 415.044 325.712 421.74L324.756 432.872C324.312 438.276 326.16 443.492 332.1 443.492C335.296 443.492 337.208 442.208 338.74 440.6C339.256 440.088 339.796 439.172 340.032 438.708C340.268 438.244 340.876 438.372 340.796 438.892C340.716 439.412 340.592 441.24 340.592 441.24C340.468 442.528 341.232 443.492 343.02 443.492C344.808 443.492 346.724 442.916 348.896 441.56C350.364 440.656 350.94 439.176 351.132 437.18L353.488 409.38C353.616 407.648 353.044 406.616 350.424 405.904V405.908ZM340.852 432.548C340.788 433.512 340.344 434.348 339.64 434.868C339.068 435.316 338.36 435.576 337.532 435.576C336.124 435.576 335.42 434.8 335.548 433L336.824 418.328C336.956 416.724 337.4 415.432 338.104 414.596C338.868 413.692 339.888 413.18 341.164 413.18C341.808 413.18 342.252 413.244 342.508 413.308L340.848 432.548H340.852Z"/>
+    <path d="M378.348 414.924C378.204 415.2 377.844 415.664 377.292 415.532C376.36 415.308 375.424 415.252 374.54 415.304C371.156 415.432 368.412 417.428 368.092 420.968L366.752 437.38C366.56 439.568 365.604 440.916 364.26 441.824C362.34 443.112 360.108 443.496 358.196 443.496C356.284 443.496 355.64 442.404 355.832 440.34L358.32 411.636C358.512 409.64 359.152 407.904 360.556 407.064C362.604 405.844 364.644 405.264 366.56 405.264C368.348 405.264 369.116 406.228 368.988 407.516L368.772 410.004C368.772 410.004 368.712 410.396 369.064 410.476C369.416 410.556 369.544 410.204 369.604 410.072C370.672 407.68 372.684 405.26 376.012 405.26C378.82 405.26 379.972 406.932 379.972 409.252C379.972 410.96 379.388 412.936 378.348 414.924Z"/>
+    <path d="M420.42 441.556C418.248 442.908 416.204 443.492 414.288 443.492C412.372 443.492 411.544 442.396 411.672 441.044L413.784 416.072C413.908 414.78 413.72 414.136 412.632 414.136C411.932 414.136 411.036 414.328 410.524 414.648C409.504 415.296 408.928 416.196 408.864 417.224L407.14 437.176C406.948 439.176 406.308 440.716 404.904 441.556C402.732 442.908 400.688 443.492 398.772 443.492C396.856 443.492 396.028 442.396 396.156 441.044L398.264 416.072C398.392 414.78 398.2 414.136 397.116 414.136C396.416 414.136 395.456 414.328 394.944 414.648C393.86 415.296 393.412 416.004 393.284 417.16L391.56 437.368C391.368 439.56 390.412 440.908 389.068 441.812C387.152 443.1 384.916 443.488 383.004 443.488C381.092 443.488 380.448 442.392 380.64 440.332L383.132 411.628C383.32 409.628 383.96 407.896 385.368 407.056C387.412 405.836 389.456 405.252 391.368 405.252C393.156 405.252 393.924 406.22 393.796 407.508C393.796 407.508 393.684 408.808 393.628 409.252C393.58 409.648 394.068 409.832 394.316 409.48C394.608 409.064 395.584 408.02 396.288 407.508C398.204 405.964 400.376 405.252 402.864 405.252C407.016 405.252 408.392 407.128 409.028 409.204C409.168 409.66 409.608 409.544 409.76 409.352C410.08 408.948 411.232 407.892 411.996 407.316C413.848 405.9 415.96 405.252 418.384 405.252C423.048 405.252 425.22 407.7 424.704 413.364L422.66 437.176C422.468 439.176 421.832 440.716 420.424 441.556H420.42Z"/>
+  </g>
+  <polygon fill="currentColor" points="485.16 377.64 502.34 269.16 399.63 269.16 382.45 377.64 215.99 377.64 233.17 269.16 130.47 269.16 82.66 571 185.37 571 202.55 462.52 369.01 462.52 351.83 571 454.53 571 471.71 462.52 485.16 377.64"/>
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+</svg>
diff --git a/providers/hyper/models/deepseek-v4-flash.toml b/providers/hyper/models/deepseek-v4-flash.toml
new file mode 100644
index 0000000000..259f19f8a7
--- /dev/null
+++ b/providers/hyper/models/deepseek-v4-flash.toml
@@ -0,0 +1,15 @@
+base_model = "deepseek/deepseek-v4-flash"
+release_date = "2026-07-06"
+last_updated = "2026-07-10"
+
+[interleaved]
+field = "reasoning_content"
+
+[[reasoning_options]]
+type = "effort"
+values = ["none", "high", "xhigh"]
+
+[cost]
+input = 0.14
+output = 0.28
+cache_read = 0.03
diff --git a/providers/hyper/models/deepseek-v4-pro.toml b/providers/hyper/models/deepseek-v4-pro.toml
new file mode 100644
index 0000000000..417e5020d7
--- /dev/null
+++ b/providers/hyper/models/deepseek-v4-pro.toml
@@ -0,0 +1,15 @@
+base_model = "deepseek/deepseek-v4-pro"
+release_date = "2026-07-06"
+last_updated = "2026-07-10"
+
+[interleaved]
+field = "reasoning_content"
+
+[[reasoning_options]]
+type = "effort"
+values = ["none", "high", "xhigh"]
+
+[cost]
+input = 1.74
+output = 3.48
+cache_read = 0.15
diff --git a/providers/hyper/models/gemma-4-26b-a4b-it.toml b/providers/hyper/models/gemma-4-26b-a4b-it.toml
new file mode 100644
index 0000000000..a7eaa94835
--- /dev/null
+++ b/providers/hyper/models/gemma-4-26b-a4b-it.toml
@@ -0,0 +1,21 @@
+base_model = "google/gemma-4-26b-a4b-it"
+name = "Gemma 4 26B A4B"
+release_date = "2026-04-30"
+last_updated = "2026-07-10"
+attachment = false
+reasoning_options = []
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0.12
+output = 0.426
+cache_write = 0.06
+
+[limit]
+context = 256_000
+output = 25_600
+
+[modalities]
+input = ["text"]
diff --git a/providers/hyper/models/glm-5.1.toml b/providers/hyper/models/glm-5.1.toml
new file mode 100644
index 0000000000..71235ecb7f
--- /dev/null
+++ b/providers/hyper/models/glm-5.1.toml
@@ -0,0 +1,18 @@
+base_model = "zhipuai/glm-5.1"
+release_date = "2026-06-04"
+last_updated = "2026-07-10"
+
+[interleaved]
+field = "reasoning_content"
+
+[[reasoning_options]]
+type = "effort"
+values = ["high", "max"]
+
+[cost]
+input = 1.4
+output = 4.4
+cache_read = 0.26
+
+[limit]
+context = 202_800
diff --git a/providers/hyper/models/glm-5.2.toml b/providers/hyper/models/glm-5.2.toml
new file mode 100644
index 0000000000..2861da7c35
--- /dev/null
+++ b/providers/hyper/models/glm-5.2.toml
@@ -0,0 +1,18 @@
+base_model = "zhipuai/glm-5.2"
+release_date = "2026-06-30"
+last_updated = "2026-07-10"
+
+[interleaved]
+field = "reasoning_content"
+
+[[reasoning_options]]
+type = "effort"
+values = ["high", "max"]
+
+[cost]
+input = 1.4
+output = 4.4
+cache_read = 0.14
+
+[limit]
+context = 1_048_576
diff --git a/providers/hyper/models/glm-5.toml b/providers/hyper/models/glm-5.toml
new file mode 100644
index 0000000000..a4eb309245
--- /dev/null
+++ b/providers/hyper/models/glm-5.toml
@@ -0,0 +1,16 @@
+base_model = "zhipuai/glm-5"
+release_date = "2026-04-13"
+last_updated = "2026-07-10"
+reasoning_options = []
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0.77
+output = 2.388
+cache_write = 0.385
+
+[limit]
+context = 202_752
+output = 20_275
diff --git a/providers/hyper/models/gpt-oss-120b.toml b/providers/hyper/models/gpt-oss-120b.toml
new file mode 100644
index 0000000000..46a8a7d23e
--- /dev/null
+++ b/providers/hyper/models/gpt-oss-120b.toml
@@ -0,0 +1,19 @@
+base_model = "openai/gpt-oss-120b"
+name = "gpt-oss-120b"
+release_date = "2026-04-13"
+last_updated = "2026-07-10"
+
+[interleaved]
+field = "reasoning_content"
+
+[[reasoning_options]]
+type = "effort"
+values = ["low", "medium", "high"]
+
+[cost]
+input = 0.18
+output = 0.61
+cache_write = 0.09
+
+[limit]
+output = 13_107
diff --git a/providers/hyper/models/kimi-k2.5.toml b/providers/hyper/models/kimi-k2.5.toml
new file mode 100644
index 0000000000..3840ee165a
--- /dev/null
+++ b/providers/hyper/models/kimi-k2.5.toml
@@ -0,0 +1,18 @@
+base_model = "moonshotai/kimi-k2.5"
+release_date = "2026-04-13"
+last_updated = "2026-07-10"
+reasoning_options = []
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0.477
+output = 2.535
+cache_write = 0.2385
+
+[limit]
+output = 26_214
+
+[modalities]
+input = ["text"]
diff --git a/providers/hyper/models/kimi-k2.6.toml b/providers/hyper/models/kimi-k2.6.toml
new file mode 100644
index 0000000000..85944b6486
--- /dev/null
+++ b/providers/hyper/models/kimi-k2.6.toml
@@ -0,0 +1,19 @@
+base_model = "moonshotai/kimi-k2.6"
+release_date = "2026-07-03"
+last_updated = "2026-07-10"
+
+[interleaved]
+field = "reasoning_content"
+
+[[reasoning_options]]
+type = "effort"
+values = ["low", "medium", "high"]
+
+[cost]
+input = 0.95
+output = 4
+cache_write = 0.16
+
+[limit]
+context = 262_000
+output = 262_000
diff --git a/providers/hyper/models/kimi-k2.7-code.toml b/providers/hyper/models/kimi-k2.7-code.toml
new file mode 100644
index 0000000000..845e310243
--- /dev/null
+++ b/providers/hyper/models/kimi-k2.7-code.toml
@@ -0,0 +1,16 @@
+base_model = "moonshotai/kimi-k2.7-code"
+release_date = "2026-07-03"
+last_updated = "2026-07-10"
+reasoning_options = []
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0.95
+output = 4
+cache_read = 0.19
+
+[limit]
+context = 262_000
+output = 262_000
diff --git a/providers/hyper/models/llama-3.3-70b-instruct.toml b/providers/hyper/models/llama-3.3-70b-instruct.toml
new file mode 100644
index 0000000000..49320f7f8f
--- /dev/null
+++ b/providers/hyper/models/llama-3.3-70b-instruct.toml
@@ -0,0 +1,18 @@
+base_model = "meta/llama-3.3-70b-instruct"
+name = "Llama 3.3 70B Instruct"
+release_date = "2026-04-30"
+last_updated = "2026-07-10"
+attachment = false
+reasoning = true
+reasoning_options = []
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0.6066
+output = 1.0386
+cache_write = 0.3033
+
+[limit]
+output = 12_800
diff --git a/providers/hyper/models/llama-4-maverick-17b-128e-instruct-fp8.toml b/providers/hyper/models/llama-4-maverick-17b-128e-instruct-fp8.toml
new file mode 100644
index 0000000000..84b0ef3bb9
--- /dev/null
+++ b/providers/hyper/models/llama-4-maverick-17b-128e-instruct-fp8.toml
@@ -0,0 +1,22 @@
+base_model = "meta/llama-4-maverick-17b-instruct"
+name = "Llama 4 Maverick 17B 128E Instruct FP8"
+release_date = "2026-04-30"
+last_updated = "2026-07-10"
+attachment = false
+reasoning = true
+reasoning_options = []
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0.274
+output = 0.894
+cache_write = 0.137
+
+[limit]
+context = 430_000
+output = 43_000
+
+[modalities]
+input = ["text"]
diff --git a/providers/hyper/models/minimax-m2.7.toml b/providers/hyper/models/minimax-m2.7.toml
new file mode 100644
index 0000000000..da84763946
--- /dev/null
+++ b/providers/hyper/models/minimax-m2.7.toml
@@ -0,0 +1,16 @@
+base_model = "minimax/MiniMax-M2.7"
+name = "MiniMax M2.7"
+release_date = "2026-06-05"
+last_updated = "2026-07-10"
+reasoning_options = []
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0.82
+output = 2.64
+cache_write = 0.41
+
+[limit]
+output = 20_480
diff --git a/providers/hyper/models/qwen3-coder-480b-a35b-instruct-int4-mixed-ar.toml b/providers/hyper/models/qwen3-coder-480b-a35b-instruct-int4-mixed-ar.toml
new file mode 100644
index 0000000000..2d09b194e2
--- /dev/null
+++ b/providers/hyper/models/qwen3-coder-480b-a35b-instruct-int4-mixed-ar.toml
@@ -0,0 +1,18 @@
+base_model = "alibaba/qwen3-coder-480b-a35b-instruct"
+name = "Qwen3 Coder 480B A35B Instruct INT4 Mixed AR"
+release_date = "2026-04-30"
+last_updated = "2026-07-10"
+reasoning = true
+reasoning_options = []
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0.601
+output = 2.085
+cache_write = 0.3005
+
+[limit]
+context = 106_000
+output = 10_600
diff --git a/providers/hyper/models/qwen3-next-80b-a3b-instruct.toml b/providers/hyper/models/qwen3-next-80b-a3b-instruct.toml
new file mode 100644
index 0000000000..c2ba22107c
--- /dev/null
+++ b/providers/hyper/models/qwen3-next-80b-a3b-instruct.toml
@@ -0,0 +1,18 @@
+base_model = "alibaba/qwen3-next-80b-a3b-instruct"
+name = "Qwen3 Next 80B A3B Instruct"
+release_date = "2026-04-30"
+last_updated = "2026-07-10"
+reasoning = true
+reasoning_options = []
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0.1175
+output = 1.136
+cache_write = 0.05875
+
+[limit]
+context = 262_144
+output = 26_214
diff --git a/providers/hyper/models/qwen3.6-flash.toml b/providers/hyper/models/qwen3.6-flash.toml
new file mode 100644
index 0000000000..ab8b5b4f80
--- /dev/null
+++ b/providers/hyper/models/qwen3.6-flash.toml
@@ -0,0 +1,14 @@
+base_model = "alibaba/qwen3.6-flash"
+name = "Qwen3.6-Flash"
+release_date = "2026-05-20"
+last_updated = "2026-07-10"
+reasoning_options = []
+
+[cost]
+input = 1
+output = 4
+cache_read = 0.1
+cache_write = 1.25
+
+[limit]
+output = 64_000
diff --git a/providers/hyper/models/qwen3.6-max.toml b/providers/hyper/models/qwen3.6-max.toml
new file mode 100644
index 0000000000..04d2a5a42d
--- /dev/null
+++ b/providers/hyper/models/qwen3.6-max.toml
@@ -0,0 +1,15 @@
+base_model = "alibaba/qwen3.6-max-preview"
+name = "Qwen3.6-Max"
+release_date = "2026-05-20"
+last_updated = "2026-07-10"
+reasoning_options = []
+
+[cost]
+input = 2
+output = 12
+cache_read = 0.2
+cache_write = 2.5
+
+[limit]
+context = 256_000
+output = 64_000
diff --git a/providers/hyper/models/qwen3.6-plus.toml b/providers/hyper/models/qwen3.6-plus.toml
new file mode 100644
index 0000000000..f4f97f539b
--- /dev/null
+++ b/providers/hyper/models/qwen3.6-plus.toml
@@ -0,0 +1,15 @@
+base_model = "alibaba/qwen3.6-plus"
+name = "Qwen3.6-Plus"
+release_date = "2026-05-20"
+last_updated = "2026-07-10"
+attachment = true
+reasoning_options = []
+
+[cost]
+input = 2
+output = 6
+cache_read = 0.2
+cache_write = 2.5
+
+[limit]
+output = 64_000
diff --git a/providers/hyper/models/qwen3.7-max.toml b/providers/hyper/models/qwen3.7-max.toml
new file mode 100644
index 0000000000..2c66a85997
--- /dev/null
+++ b/providers/hyper/models/qwen3.7-max.toml
@@ -0,0 +1,13 @@
+base_model = "alibaba/qwen3.7-max"
+name = "Qwen3.7-Max"
+release_date = "2026-05-28"
+last_updated = "2026-07-10"
+reasoning_options = []
+
+[cost]
+input = 2.5
+output = 7.5
+cache_read = 0.5
+
+[limit]
+output = 64_000
diff --git a/providers/hyper/models/qwen3.7-plus.toml b/providers/hyper/models/qwen3.7-plus.toml
new file mode 100644
index 0000000000..0098960906
--- /dev/null
+++ b/providers/hyper/models/qwen3.7-plus.toml
@@ -0,0 +1,11 @@
+base_model = "alibaba/qwen3.7-plus"
+name = "Qwen3.7-Plus"
+release_date = "2026-06-15"
+last_updated = "2026-07-10"
+attachment = true
+reasoning_options = []
+
+[cost]
+input = 1.2
+output = 4.8
+cache_read = 0.24
diff --git a/providers/hyper/provider.toml b/providers/hyper/provider.toml
new file mode 100644
index 0000000000..d6d8457ed5
--- /dev/null
+++ b/providers/hyper/provider.toml
@@ -0,0 +1,13 @@
+name = "Charm Hyper"
+env = ["HYPER_API_KEY"]
+npm = "@ai-sdk/openai-compatible"
+# Raw HTTP endpoint map (source accessed 2026-07-02): Hyper uses POST
+# `/v1/chat/completions` for OpenAI-compatible models, `/v1/responses` for
+# OpenAI Responses, and `/v1/messages` for Anthropic-compatible models.
+# GET `/v1/models` advertises `supports_reasoning`, `supports_reasoning_effort`,
+# and per-model `reasoning_effort_levels`. `supports_reasoning` is a capability
+# flag only; models without effort levels expose no verified caller-facing control,
+# so synced `reasoning_options` stay empty unless effort levels are present.
+# https://hyper.charm.land/v1/models
+api = "https://hyper.charm.land/v1"
+doc = "https://hyper.charm.land"