diff --git a/packages/ai-openrouter/src/model-meta.ts b/packages/ai-openrouter/src/model-meta.ts
index cec4ced80..fb3c1cbf2 100644
--- a/packages/ai-openrouter/src/model-meta.ts
+++ b/packages/ai-openrouter/src/model-meta.ts
@@ -410,41 +410,6 @@ const ALFREDPROS_CODELLAMA_7B_INSTRUCT_SOLIDITY = {
     image: 0,
   },
 } as const
-const ALIBABA_TONGYI_DEEPRESEARCH_30B_A3B = {
-  id: 'alibaba/tongyi-deepresearch-30b-a3b',
-  name: 'Tongyi DeepResearch 30B A3B',
-  supports: {
-    input: ['text'],
-    output: ['text'],
-    supports: [
-      'frequencyPenalty',
-      'logitBias',
-      'maxCompletionTokens',
-      'presencePenalty',
-      'reasoning',
-      'responseFormat',
-      'seed',
-      'stop',
-      'temperature',
-      'toolChoice',
-      'topP',
-    ],
-  },
-  context_window: 131072,
-  max_output_tokens: 131072,
-  pricing: {
-    text: {
-      input: {
-        normal: 0.09,
-        cached: 0.09,
-      },
-      output: {
-        normal: 0.45,
-      },
-    },
-    image: 0,
-  },
-} as const
 const ALLENAI_OLMO_3_32B_THINK = {
   id: 'allenai/olmo-3-32b-think',
   name: 'AllenAI: Olmo 3 32B Think',
@@ -1157,35 +1122,6 @@ const ARCEE_AI_TRINITY_LARGE_THINKING = {
     image: 0,
   },
 } as const
-const ARCEE_AI_TRINITY_LARGE_THINKING_FREE = {
-  id: 'arcee-ai/trinity-large-thinking:free',
-  name: 'Arcee AI: Trinity Large Thinking (free)',
-  supports: {
-    input: ['text'],
-    output: ['text'],
-    supports: [
-      'maxCompletionTokens',
-      'reasoning',
-      'temperature',
-      'toolChoice',
-      'topP',
-    ],
-  },
-  context_window: 262144,
-  max_output_tokens: 80000,
-  pricing: {
-    text: {
-      input: {
-        normal: 0,
-        cached: 0,
-      },
-      output: {
-        normal: 0,
-      },
-    },
-    image: 0,
-  },
-} as const
 const ARCEE_AI_TRINITY_MINI = {
   id: 'arcee-ai/trinity-mini',
   name: 'Arcee AI: Trinity Mini',
@@ -1837,16 +1773,16 @@ const DEEPSEEK_DEEPSEEK_CHAT = {
       'topP',
     ],
   },
-  context_window: 163840,
-  max_output_tokens: 16384,
+  context_window: 131072,
+  max_output_tokens: 16000,
   pricing: {
     text: {
       input: {
-        normal: 0.32,
+        normal: 0.2288,
         cached: 0,
       },
       output: {
-        normal: 0.89,
+        normal: 0.9144,
       },
     },
     image: 0,
@@ -2222,14 +2158,15 @@ const DEEPSEEK_DEEPSEEK_V4_FLASH = {
     ],
   },
   context_window: 1048576,
+  max_output_tokens: 16384,
   pricing: {
     text: {
       input: {
-        normal: 0.112,
-        cached: 0.022,
+        normal: 0.1,
+        cached: 0.02,
       },
       output: {
-        normal: 0.224,
+        normal: 0.2,
       },
     },
     image: 0,
@@ -8263,8 +8200,8 @@ const POOLSIDE_LAGUNA_M_1_FREE = {
     output: ['text'],
     supports: ['maxCompletionTokens', 'reasoning', 'temperature', 'toolChoice'],
   },
-  context_window: 131072,
-  max_output_tokens: 8192,
+  context_window: 262144,
+  max_output_tokens: 32768,
   pricing: {
     text: {
       input: {
@@ -8286,8 +8223,8 @@ const POOLSIDE_LAGUNA_XS_2_FREE = {
     output: ['text'],
     supports: ['maxCompletionTokens', 'reasoning', 'temperature', 'toolChoice'],
   },
-  context_window: 131072,
-  max_output_tokens: 8192,
+  context_window: 262144,
+  max_output_tokens: 32768,
   pricing: {
     text: {
       input: {
@@ -8486,7 +8423,7 @@ const QWEN_QWEN_PLUS_2025_07_28 = {
     text: {
       input: {
         normal: 0.26,
-        cached: 0.325,
+        cached: 0,
       },
       output: {
         normal: 0.78,
@@ -9671,7 +9608,7 @@ const QWEN_QWEN3_5_FLASH_02_23 = {
     text: {
       input: {
         normal: 0.065,
-        cached: 0.08125,
+        cached: 0,
       },
       output: {
         normal: 0.26,
@@ -9703,7 +9640,7 @@ const QWEN_QWEN3_5_PLUS_02_15 = {
     text: {
       input: {
         normal: 0.26,
-        cached: 0.325,
+        cached: 0,
       },
       output: {
         normal: 1.56,
@@ -9735,7 +9672,7 @@ const QWEN_QWEN3_5_PLUS_20260420 = {
     text: {
       input: {
         normal: 0.3,
-        cached: 0,
+        cached: 0.375,
       },
       output: {
         normal: 1.8,
@@ -9767,11 +9704,11 @@ const QWEN_QWEN3_6_27B = {
     ],
   },
   context_window: 262144,
-  max_output_tokens: 262144,
+  max_output_tokens: 262140,
   pricing: {
     text: {
       input: {
-        normal: 0.3,
+        normal: 0.29,
         cached: 0,
       },
       output: {
@@ -9804,12 +9741,12 @@ const QWEN_QWEN3_6_35B_A3B = {
     ],
   },
   context_window: 262144,
-  max_output_tokens: 262144,
+  max_output_tokens: 262140,
   pricing: {
     text: {
       input: {
-        normal: 0.15,
-        cached: 0.05,
+        normal: 0.14,
+        cached: 0,
       },
       output: {
         normal: 1,
@@ -9840,11 +9777,11 @@ const QWEN_QWEN3_6_FLASH = {
   pricing: {
     text: {
       input: {
-        normal: 0.12375,
-        cached: 0.1545,
+        normal: 0.1875,
+        cached: 0.234375,
       },
       output: {
-        normal: 0.7425,
+        normal: 1.125,
       },
     },
     image: 0,
@@ -9906,11 +9843,11 @@ const QWEN_QWEN3_6_PLUS = {
   pricing: {
     text: {
       input: {
-        normal: 0.1794,
-        cached: 0.2236,
+        normal: 0.325,
+        cached: 0.40625,
       },
       output: {
-        normal: 1.07315,
+        normal: 1.95,
       },
     },
     image: 0,
@@ -9940,11 +9877,11 @@ const QWEN_QWEN3_7_MAX = {
   pricing: {
     text: {
       input: {
-        normal: 2.5,
-        cached: 3.125,
+        normal: 1.25,
+        cached: 1.8125,
       },
       output: {
-        normal: 7.5,
+        normal: 3.75,
       },
     },
     image: 0,
@@ -10834,11 +10771,11 @@ const XIAOMI_MIMO_V2_5 = {
   pricing: {
     text: {
       input: {
-        normal: 0.4,
-        cached: 0.08,
+        normal: 0.14,
+        cached: 0.0028,
       },
       output: {
-        normal: 2,
+        normal: 0.28,
       },
     },
     image: 0,
@@ -10865,15 +10802,15 @@ const XIAOMI_MIMO_V2_5_PRO = {
     ],
   },
   context_window: 1048576,
-  max_output_tokens: 16384,
+  max_output_tokens: 131072,
   pricing: {
     text: {
       input: {
-        normal: 1,
-        cached: 0.2,
+        normal: 0.435,
+        cached: 0.0036,
       },
       output: {
-        normal: 3,
+        normal: 0.87,
       },
     },
     image: 0,
@@ -10946,6 +10883,7 @@ const Z_AI_GLM_4_5_AIR = {
       'maxCompletionTokens',
       'presencePenalty',
       'reasoning',
+      'responseFormat',
       'seed',
       'stop',
       'temperature',
@@ -10954,15 +10892,15 @@ const Z_AI_GLM_4_5_AIR = {
     ],
   },
   context_window: 131072,
-  max_output_tokens: 98304,
+  max_output_tokens: 131070,
   pricing: {
     text: {
       input: {
-        normal: 0.13,
-        cached: 0.025,
+        normal: 0.125,
+        cached: 0,
       },
       output: {
-        normal: 0.85,
+        normal: 0.84,
       },
     },
     image: 0,
@@ -11442,21 +11380,6 @@ export type OpenRouterModelOptionsByName = {
       | 'temperature'
       | 'topP'
     >
-  [ALIBABA_TONGYI_DEEPRESEARCH_30B_A3B.id]: OpenRouterCommonOptions &
-    Pick<
-      OpenRouterBaseOptions,
-      | 'frequencyPenalty'
-      | 'logitBias'
-      | 'maxCompletionTokens'
-      | 'presencePenalty'
-      | 'reasoning'
-      | 'responseFormat'
-      | 'seed'
-      | 'stop'
-      | 'temperature'
-      | 'toolChoice'
-      | 'topP'
-    >
   [ALLENAI_OLMO_3_32B_THINK.id]: OpenRouterCommonOptions &
     Pick<
       OpenRouterBaseOptions,
@@ -11690,15 +11613,6 @@ export type OpenRouterModelOptionsByName = {
       | 'toolChoice'
       | 'topP'
     >
-  [ARCEE_AI_TRINITY_LARGE_THINKING_FREE.id]: OpenRouterCommonOptions &
-    Pick<
-      OpenRouterBaseOptions,
-      | 'maxCompletionTokens'
-      | 'reasoning'
-      | 'temperature'
-      | 'toolChoice'
-      | 'topP'
-    >
   [ARCEE_AI_TRINITY_MINI.id]: OpenRouterCommonOptions &
     Pick<
       OpenRouterBaseOptions,
@@ -15449,6 +15363,7 @@ export type OpenRouterModelOptionsByName = {
       | 'maxCompletionTokens'
       | 'presencePenalty'
       | 'reasoning'
+      | 'responseFormat'
       | 'seed'
       | 'stop'
       | 'temperature'
@@ -15625,7 +15540,6 @@ export type OpenRouterModelInputModalitiesByName = {
   [AION_LABS_AION_2_0.id]: ReadonlyArray<'text'>
   [AION_LABS_AION_RP_LLAMA_3_1_8B.id]: ReadonlyArray<'text'>
   [ALFREDPROS_CODELLAMA_7B_INSTRUCT_SOLIDITY.id]: ReadonlyArray<'text'>
-  [ALIBABA_TONGYI_DEEPRESEARCH_30B_A3B.id]: ReadonlyArray<'text'>
   [ALLENAI_OLMO_3_32B_THINK.id]: ReadonlyArray<'text'>
   [AMAZON_NOVA_2_LITE_V1.id]: ReadonlyArray<
     'text' | 'image' | 'video' | 'document'
@@ -15656,7 +15570,6 @@ export type OpenRouterModelInputModalitiesByName = {
   [ARCEE_AI_MAESTRO_REASONING.id]: ReadonlyArray<'text'>
   [ARCEE_AI_SPOTLIGHT.id]: ReadonlyArray<'image' | 'text'>
   [ARCEE_AI_TRINITY_LARGE_THINKING.id]: ReadonlyArray<'text'>
-  [ARCEE_AI_TRINITY_LARGE_THINKING_FREE.id]: ReadonlyArray<'text'>
   [ARCEE_AI_TRINITY_MINI.id]: ReadonlyArray<'text'>
   [ARCEE_AI_VIRTUOSO_LARGE.id]: ReadonlyArray<'text'>
   [BAIDU_COBUDDY_FREE.id]: ReadonlyArray<'text'>
@@ -16037,7 +15950,6 @@ export const OPENROUTER_CHAT_MODELS = [
   AION_LABS_AION_2_0.id,
   AION_LABS_AION_RP_LLAMA_3_1_8B.id,
   ALFREDPROS_CODELLAMA_7B_INSTRUCT_SOLIDITY.id,
-  ALIBABA_TONGYI_DEEPRESEARCH_30B_A3B.id,
   ALLENAI_OLMO_3_32B_THINK.id,
   AMAZON_NOVA_2_LITE_V1.id,
   AMAZON_NOVA_LITE_V1.id,
@@ -16062,7 +15974,6 @@ export const OPENROUTER_CHAT_MODELS = [
   ARCEE_AI_MAESTRO_REASONING.id,
   ARCEE_AI_SPOTLIGHT.id,
   ARCEE_AI_TRINITY_LARGE_THINKING.id,
-  ARCEE_AI_TRINITY_LARGE_THINKING_FREE.id,
   ARCEE_AI_TRINITY_MINI.id,
   ARCEE_AI_VIRTUOSO_LARGE.id,
   BAIDU_COBUDDY_FREE.id,
@@ -16379,10 +16290,7 @@ export const OPENROUTER_CHAT_MODELS = [
 ] as const
 
 export type OpenRouterChatModelToolCapabilitiesByName = {
-  [K in (typeof OPENROUTER_CHAT_MODELS)[number]]: readonly [
-    'web_search',
-    'web_fetch',
-  ]
+  [K in (typeof OPENROUTER_CHAT_MODELS)[number]]: readonly ['web_search']
 }
 
 export const OPENROUTER_IMAGE_MODELS = [
diff --git a/scripts/.sync-models-last-run b/scripts/.sync-models-last-run
index 1f83e39bc..1daf3ace8 100644
--- a/scripts/.sync-models-last-run
+++ b/scripts/.sync-models-last-run
@@ -1 +1 @@
-1779439521
+1779872161
diff --git a/scripts/openrouter.models.json b/scripts/openrouter.models.json
index 9cd7a646e..4cc0d0edd 100644
--- a/scripts/openrouter.models.json
+++ b/scripts/openrouter.models.json
@@ -701,63 +701,6 @@
       "details": "/api/v1/models/alfredpros/codellama-7b-instruct-solidity/endpoints"
     }
   },
-  {
-    "id": "alibaba/tongyi-deepresearch-30b-a3b",
-    "canonical_slug": "alibaba/tongyi-deepresearch-30b-a3b",
-    "hugging_face_id": "Alibaba-NLP/Tongyi-DeepResearch-30B-A3B",
-    "name": "Tongyi DeepResearch 30B A3B",
-    "created": 1758210804,
-    "description": "Tongyi DeepResearch is an agentic large language model developed by Tongyi Lab, with 30 billion total parameters activating only 3 billion per token. It's optimized for long-horizon, deep information-seeking tasks...",
-    "context_length": 131072,
-    "architecture": {
-      "modality": "text->text",
-      "input_modalities": ["text"],
-      "output_modalities": ["text"],
-      "tokenizer": "Other",
-      "instruct_type": null
-    },
-    "pricing": {
-      "prompt": "0.00000009",
-      "completion": "0.00000045",
-      "input_cache_read": "0.00000009"
-    },
-    "top_provider": {
-      "context_length": 131072,
-      "max_completion_tokens": 131072,
-      "is_moderated": false
-    },
-    "per_request_limits": null,
-    "supported_parameters": [
-      "frequency_penalty",
-      "include_reasoning",
-      "logit_bias",
-      "max_tokens",
-      "min_p",
-      "presence_penalty",
-      "reasoning",
-      "repetition_penalty",
-      "response_format",
-      "seed",
-      "stop",
-      "structured_outputs",
-      "temperature",
-      "tool_choice",
-      "tools",
-      "top_k",
-      "top_p"
-    ],
-    "default_parameters": {
-      "temperature": null,
-      "top_p": null,
-      "frequency_penalty": null
-    },
-    "supported_voices": null,
-    "knowledge_cutoff": "2025-03-31",
-    "expiration_date": null,
-    "links": {
-      "details": "/api/v1/models/alibaba/tongyi-deepresearch-30b-a3b/endpoints"
-    }
-  },
   {
     "id": "allenai/olmo-3-32b-think",
     "canonical_slug": "allenai/olmo-3-32b-think-20251121",
@@ -1977,56 +1920,6 @@
       "details": "/api/v1/models/arcee-ai/trinity-large-thinking/endpoints"
     }
   },
-  {
-    "id": "arcee-ai/trinity-large-thinking:free",
-    "canonical_slug": "arcee-ai/trinity-large-thinking",
-    "hugging_face_id": "arcee-ai/Trinity-Large-Thinking",
-    "name": "Arcee AI: Trinity Large Thinking (free)",
-    "created": 1775058318,
-    "description": "Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...",
-    "context_length": 262144,
-    "architecture": {
-      "modality": "text->text",
-      "input_modalities": ["text"],
-      "output_modalities": ["text"],
-      "tokenizer": "Other",
-      "instruct_type": null
-    },
-    "pricing": {
-      "prompt": "0",
-      "completion": "0"
-    },
-    "top_provider": {
-      "context_length": 262144,
-      "max_completion_tokens": 80000,
-      "is_moderated": false
-    },
-    "per_request_limits": null,
-    "supported_parameters": [
-      "include_reasoning",
-      "max_tokens",
-      "reasoning",
-      "temperature",
-      "tool_choice",
-      "tools",
-      "top_k",
-      "top_p"
-    ],
-    "default_parameters": {
-      "temperature": 0.3,
-      "top_p": 0.8,
-      "top_k": null,
-      "frequency_penalty": null,
-      "presence_penalty": null,
-      "repetition_penalty": null
-    },
-    "supported_voices": null,
-    "knowledge_cutoff": null,
-    "expiration_date": null,
-    "links": {
-      "details": "/api/v1/models/arcee-ai/trinity-large-thinking/endpoints"
-    }
-  },
   {
     "id": "arcee-ai/trinity-mini",
     "canonical_slug": "arcee-ai/trinity-mini-20251201",
@@ -2159,7 +2052,7 @@
     "default_parameters": {},
     "supported_voices": null,
     "knowledge_cutoff": null,
-    "expiration_date": null,
+    "expiration_date": "2026-05-27",
     "links": {
       "details": "/api/v1/models/baidu/cobuddy-20260430/endpoints"
     }
@@ -2992,7 +2885,7 @@
     "name": "DeepSeek: DeepSeek V3",
     "created": 1735241320,
     "description": "DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...",
-    "context_length": 163840,
+    "context_length": 131072,
     "architecture": {
       "modality": "text->text",
       "input_modalities": ["text"],
@@ -3001,12 +2894,12 @@
       "instruct_type": null
     },
     "pricing": {
-      "prompt": "0.00000032",
-      "completion": "0.00000089"
+      "prompt": "0.0000002288",
+      "completion": "0.0000009144"
     },
     "top_provider": {
-      "context_length": 163840,
-      "max_completion_tokens": 16384,
+      "context_length": 128000,
+      "max_completion_tokens": 16000,
       "is_moderated": false
     },
     "per_request_limits": null,
@@ -3596,13 +3489,13 @@
       "instruct_type": null
     },
     "pricing": {
-      "prompt": "0.000000112",
-      "completion": "0.000000224",
-      "input_cache_read": "0.000000022"
+      "prompt": "0.0000001",
+      "completion": "0.0000002",
+      "input_cache_read": "0.00000002"
     },
     "top_provider": {
-      "context_length": 1048575,
-      "max_completion_tokens": null,
+      "context_length": 1048576,
+      "max_completion_tokens": 16384,
       "is_moderated": false
     },
     "per_request_limits": null,
@@ -3956,7 +3849,10 @@
     "default_parameters": {
       "temperature": null,
       "top_p": null,
-      "frequency_penalty": null
+      "top_k": null,
+      "frequency_penalty": null,
+      "presence_penalty": null,
+      "repetition_penalty": null
     },
     "supported_voices": null,
     "knowledge_cutoff": "2025-01-31",
@@ -8891,7 +8787,7 @@
     "default_parameters": {},
     "supported_voices": null,
     "knowledge_cutoff": "2023-12-31",
-    "expiration_date": null,
+    "expiration_date": "2026-06-05",
     "links": {
       "details": "/api/v1/models/nousresearch/hermes-2-pro-llama-3-8b/endpoints"
     }
@@ -13213,7 +13109,7 @@
     "name": "Poolside: Laguna M.1 (free)",
     "created": 1777388504,
     "description": "Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 128K...",
-    "context_length": 131072,
+    "context_length": 262144,
     "architecture": {
       "modality": "text->text",
       "input_modalities": ["text"],
@@ -13226,8 +13122,8 @@
       "completion": "0"
     },
     "top_provider": {
-      "context_length": 131072,
-      "max_completion_tokens": 8192,
+      "context_length": 262144,
+      "max_completion_tokens": 32768,
       "is_moderated": false
     },
     "per_request_limits": null,
@@ -13261,7 +13157,7 @@
     "name": "Poolside: Laguna XS.2 (free)",
     "created": 1777389604,
     "description": "Laguna XS.2 is the second-generation model in the XS size class from [Poolside](https://poolside.ai), their efficient coding agent series. It combines tool calling and reasoning capabilities with a compact footprint, offering...",
-    "context_length": 131072,
+    "context_length": 262144,
     "architecture": {
       "modality": "text->text",
       "input_modalities": ["text"],
@@ -13274,8 +13170,8 @@
       "completion": "0"
     },
     "top_provider": {
-      "context_length": 131072,
-      "max_completion_tokens": 8192,
+      "context_length": 262144,
+      "max_completion_tokens": 32768,
       "is_moderated": false
     },
     "per_request_limits": null,
@@ -13565,8 +13461,7 @@
     },
     "pricing": {
       "prompt": "0.00000026",
-      "completion": "0.00000078",
-      "input_cache_write": "0.000000325"
+      "completion": "0.00000078"
     },
     "top_provider": {
       "context_length": 1000000,
@@ -13955,7 +13850,7 @@
     },
     "supported_voices": null,
     "knowledge_cutoff": "2025-03-31",
-    "expiration_date": null,
+    "expiration_date": "2026-06-05",
     "links": {
       "details": "/api/v1/models/qwen/qwen3-30b-a3b-04-28/endpoints"
     }
@@ -15422,8 +15317,7 @@
     },
     "pricing": {
       "prompt": "0.000000065",
-      "completion": "0.00000026",
-      "input_cache_write": "0.00000008125"
+      "completion": "0.00000026"
     },
     "top_provider": {
       "context_length": 1000000,
@@ -15473,8 +15367,7 @@
     },
     "pricing": {
       "prompt": "0.00000026",
-      "completion": "0.00000156",
-      "input_cache_write": "0.000000325"
+      "completion": "0.00000156"
     },
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@@ -15524,7 +15417,8 @@
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       "prompt": "0.0000003",
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+      "completion": "0.0000018",
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     "top_provider": {
       "context_length": 1000000,
@@ -15569,12 +15463,12 @@
       "instruct_type": null
     },
     "pricing": {
-      "prompt": "0.0000003",
+      "prompt": "0.00000029",
       "completion": "0.0000032"
     },
     "top_provider": {
-      "context_length": 262144,
-      "max_completion_tokens": 262144,
+      "context_length": 262140,
+      "max_completion_tokens": 262140,
       "is_moderated": false
     },
     "per_request_limits": null,
@@ -15630,13 +15524,12 @@
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     "pricing": {
-      "prompt": "0.00000015",
-      "completion": "0.000001",
-      "input_cache_read": "0.00000005"
+      "prompt": "0.00000014",
+      "completion": "0.000001"
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     "top_provider": {
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-      "max_completion_tokens": 262144,
+      "context_length": 262140,
+      "max_completion_tokens": 262140,
       "is_moderated": false
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     "per_request_limits": null,
@@ -15689,9 +15582,9 @@
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-      "prompt": "0.00000012375",
-      "completion": "0.0000007425",
-      "input_cache_write": "0.0000001545"
+      "prompt": "0.0000001875",
+      "completion": "0.000001125",
+      "input_cache_write": "0.000000234375"
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     "top_provider": {
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@@ -15785,9 +15678,9 @@
       "instruct_type": null
     },
     "pricing": {
-      "prompt": "0.0000001794",
-      "completion": "0.00000107315",
-      "input_cache_write": "0.0000002236"
+      "prompt": "0.000000325",
+      "completion": "0.00000195",
+      "input_cache_write": "0.00000040625"
     },
     "top_provider": {
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@@ -15839,9 +15732,10 @@
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     },
     "pricing": {
-      "prompt": "0.0000025",
-      "completion": "0.0000075",
-      "input_cache_write": "0.000003125"
+      "prompt": "0.00000125",
+      "completion": "0.00000375",
+      "input_cache_read": "0.00000025",
+      "input_cache_write": "0.0000015625"
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@@ -16109,7 +16003,7 @@
     "default_parameters": {},
     "supported_voices": null,
     "knowledge_cutoff": "2023-12-31",
-    "expiration_date": null,
+    "expiration_date": "2026-06-05",
     "links": {
       "details": "/api/v1/models/sao10k/l3-euryale-70b/endpoints"
     }
@@ -17251,9 +17145,9 @@
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-      "completion": "0.000002",
-      "input_cache_read": "0.00000008"
+      "prompt": "0.00000014",
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+      "input_cache_read": "0.0000000028"
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@@ -17305,13 +17199,13 @@
       "instruct_type": null
     },
     "pricing": {
-      "prompt": "0.000001",
-      "completion": "0.000003",
-      "input_cache_read": "0.0000002"
+      "prompt": "0.000000435",
+      "completion": "0.00000087",
+      "input_cache_read": "0.0000000036"
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     "top_provider": {
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-      "max_completion_tokens": 16384,
+      "max_completion_tokens": 131072,
       "is_moderated": false
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     "per_request_limits": null,
@@ -17463,13 +17357,12 @@
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     "pricing": {
-      "prompt": "0.00000013",
-      "completion": "0.00000085",
-      "input_cache_read": "0.000000025"
+      "prompt": "0.000000125",
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     "top_provider": {
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-      "max_completion_tokens": 98304,
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+      "max_completion_tokens": 131070,
       "is_moderated": false
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     "per_request_limits": null,
@@ -17480,6 +17373,7 @@
       "presence_penalty",
       "reasoning",
       "repetition_penalty",
+      "response_format",
       "seed",
       "stop",
       "temperature",