diff --git a/packages/types/src/providers/chutes.ts b/packages/types/src/providers/chutes.ts
index d05bd489b1be..c90e0445705c 100644
--- a/packages/types/src/providers/chutes.ts
+++ b/packages/types/src/providers/chutes.ts
@@ -6,6 +6,9 @@ export type ChutesModelId =
 	| "deepseek-ai/DeepSeek-R1"
 	| "deepseek-ai/DeepSeek-V3"
 	| "deepseek-ai/DeepSeek-V3.1"
+	| "deepseek-ai/DeepSeek-V3.1-Terminus"
+	| "deepseek-ai/DeepSeek-V3.1-turbo"
+	| "deepseek-ai/DeepSeek-V3.2-Exp"
 	| "unsloth/Llama-3.3-70B-Instruct"
 	| "chutesai/Llama-4-Scout-17B-16E-Instruct"
 	| "unsloth/Mistral-Nemo-Instruct-2407"
@@ -30,11 +33,13 @@ export type ChutesModelId =
 	| "zai-org/GLM-4.5-Air"
 	| "zai-org/GLM-4.5-FP8"
 	| "zai-org/GLM-4.5-turbo"
+	| "zai-org/GLM-4.6-FP8"
 	| "moonshotai/Kimi-K2-Instruct-75k"
 	| "moonshotai/Kimi-K2-Instruct-0905"
 	| "Qwen/Qwen3-235B-A22B-Thinking-2507"
 	| "Qwen/Qwen3-Next-80B-A3B-Instruct"
 	| "Qwen/Qwen3-Next-80B-A3B-Thinking"
+	| "Qwen/Qwen3-VL-235B-A22B-Thinking"
 
 export const chutesDefaultModelId: ChutesModelId = "deepseek-ai/DeepSeek-R1-0528"
 
@@ -75,6 +80,33 @@ export const chutesModels = {
 		outputPrice: 0,
 		description: "DeepSeek V3.1 model.",
 	},
+	"deepseek-ai/DeepSeek-V3.1-Terminus": {
+		maxTokens: 163840,
+		contextWindow: 163840,
+		supportsImages: false,
+		supportsPromptCache: false,
+		inputPrice: 0.23,
+		outputPrice: 0.9,
+		description: "DeepSeek‑V3.1‑Terminus is an update to V3.1 that improves language consistency by reducing CN/EN mix‑ups and eliminating random characters, while strengthening agent capabilities with notably better Code Agent and Search Agent performance.",
+	},
+	"deepseek-ai/DeepSeek-V3.1-turbo": {
+		maxTokens: 32768,
+		contextWindow: 163840,
+		supportsImages: false,
+		supportsPromptCache: false,
+		inputPrice: 1.0,
+		outputPrice: 3.0,
+		description: "DeepSeek-V3.1-turbo is an FP8, speculative-decoding turbo variant optimized for ultra-fast single-shot queries (~200 TPS), with outputs close to the originals and solid function calling/reasoning/structured output, priced at $1/M input and $3/M output tokens, using 2× quota per request and not intended for bulk workloads.",
+	},
+	"deepseek-ai/DeepSeek-V3.2-Exp": {
+		maxTokens: 163840,
+		contextWindow: 163840,
+		supportsImages: false,
+		supportsPromptCache: false,
+		inputPrice: 0.25,
+		outputPrice: 0.35,
+		description: "DeepSeek-V3.2-Exp is an experimental LLM that introduces DeepSeek Sparse Attention to improve long‑context training and inference efficiency while maintaining performance comparable to V3.1‑Terminus.",
+	},
 	"unsloth/Llama-3.3-70B-Instruct": {
 		maxTokens: 32768, // From Groq
 		contextWindow: 131072, // From Groq
@@ -284,6 +316,16 @@ export const chutesModels = {
 		outputPrice: 3,
 		description: "GLM-4.5-turbo model with 128K token context window, optimized for fast inference.",
 	},
+	"zai-org/GLM-4.6-FP8": {
+		maxTokens: 32768,
+		contextWindow: 202752,
+		supportsImages: false,
+		supportsPromptCache: false,
+		inputPrice: 0,
+		outputPrice: 0,
+		description:
+			"GLM-4.6 introduces major upgrades over GLM-4.5, including a longer 200K-token context window for complex tasks, stronger coding performance in benchmarks and real-world tools (such as Claude Code, Cline, Roo Code, and Kilo Code), improved reasoning with tool use during inference, more capable and efficient agent integration, and refined writing that better matches human style, readability, and natural role-play scenarios.",
+	},
 	"Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8": {
 		maxTokens: 32768,
 		contextWindow: 262144,
@@ -340,4 +382,13 @@ export const chutesModels = {
 		description:
 			"Reasoning-first model with structured thinking traces for multi-step problems, math proofs, and code synthesis.",
 	},
+	"Qwen/Qwen3-VL-235B-A22B-Thinking": {
+		maxTokens: 262144,
+		contextWindow: 262144,
+		supportsImages: true,
+		supportsPromptCache: false,
+		inputPrice: 0.1600,
+		outputPrice: 0.6500,
+		description: "Qwen3‑VL‑235B‑A22B‑Thinking is an open‑weight MoE vision‑language model (235B total, ~22B activated) optimized for deliberate multi‑step reasoning with strong text‑image‑video understanding and long‑context capabilities.",
+	},
 } as const satisfies Record<string, ModelInfo>