data: update model data 2026-06-30

Author: github-actions[bot]

packages/data/providers/cerebras/models/gemma-4-31b.json

@@ -42,7 +42,12 @@
     "endpoints": "772bacef",
     "tools": "f0c1dc7e",
     "model_card_url": "682a4569",
-    "tokens_per_second": "8c3039bd"
+    "tokens_per_second": "8c3039bd",
+    "pricing": "f7bf6ae9"
   },
-  "last_updated": "2026-06-29"
+  "last_updated": "2026-06-30",
+  "pricing": {
+    "input": 0.99,
+    "output": 1.49
+  }
 }

packages/data/providers/deepinfra/models/deepreinforce-ai-ornith-1.0-35b.json

@@ -40,7 +40,11 @@
     "pricing": "c7984d1d",
     "tools": "f0c1dc7e",
     "endpoints": "d8fa1080",
-    "quantization": "640679f9"
+    "quantization": "640679f9",
+    "description": "74c223d2",
+    "tagline": "61e5332e"
   },
-  "last_updated": "2026-06-29"
+  "last_updated": "2026-06-30",
+  "description": "Ornith-1.0-35B is DeepReinforce's open (MIT-licensed) agentic-coding model: an RL post-train of Qwen3.5-35B-A3B, a 35B-total / ~3B-active Mixture-of-Experts with hybrid Gated-DeltaNet attention. It targets state-of-the-art open-model coding-agent performance (SWE-bench Verified 75.6, Terminal-Bench 2.1 64.2) with a 262K-token context, thinking/reasoning mode, tool calling, and image + video understanding.",
+  "tagline": "Ornith-1.0-35B is DeepReinforce's open (MIT-licensed) agentic-coding model: an RL post-train of Qwen3.5-35B-A3B, a 35B-total / ~3B-active Mixture-of-Experts with hybrid Gated-DeltaNet attention."
 }

packages/data/providers/deepinfra/models/minimaxai-minimax-m2.7-turbo.json

@@ -24,8 +24,8 @@
     "output": ["text"]
   },
   "pricing": {
-    "input": 0.45,
-    "output": 2.1
+    "input": 0.4,
+    "output": 2
   },
   "tools": ["function_calling"],
   "endpoints": ["chat_completions"],
@@ -43,10 +43,10 @@
     "tagline": "a6d84fdf",
     "capabilities": "56245a77",
     "modalities": "68e53d93",
-    "pricing": "b05048aa",
+    "pricing": "70b90c36",
     "tools": "f0c1dc7e",
     "endpoints": "d8fa1080",
     "quantization": "640679f9"
   },
-  "last_updated": "2026-06-29"
+  "last_updated": "2026-06-30"
 }

packages/data/providers/fal/models/bria-extract-object.json

@@ -0,0 +1,35 @@
+{
+  "id": "bria/extract-object",
+  "name": "Extract Object",
+  "created_by": "bria",
+  "source": "official",
+  "description": "Bria Extract Object uses text prompts to isolate a selected object from an image and return it as an RGBA PNG with a transparent background.",
+  "status": "active",
+  "release_date": "2026-06-28",
+  "model_type": "image",
+  "page_url": "https://fal.run/bria/extract-object",
+  "tagline": "Bria Extract Object uses text prompts to isolate a selected object from an image and return it as an RGBA PNG with a transparent background.",
+  "capabilities": {
+    "vision": true
+  },
+  "modalities": {
+    "input": ["text", "image"],
+    "output": ["image"]
+  },
+  "endpoints": ["images"],
+  "last_seen_at": "2026-06-29",
+  "_generated": {
+    "name": "7b756530",
+    "description": "d3c19199",
+    "status": "379ac110",
+    "release_date": "bde5bfbb",
+    "model_type": "db8857fe",
+    "page_url": "8a58ef65",
+    "tagline": "d3c19199",
+    "capabilities": "d3117eb0",
+    "modalities": "bbf9b8bb",
+    "endpoints": "9a7c17cc",
+    "last_seen_at": "6717d6db"
+  },
+  "last_updated": "2026-06-30"
+}

packages/data/providers/fal/models/fal-ai-flux-2-klein-9b.json

@@ -18,7 +18,7 @@
     "output": ["image"]
   },
   "endpoints": ["images"],
-  "last_seen_at": "2026-01-26",
+  "last_seen_at": "2026-06-30",
   "_generated": {
     "name": "929b507a",
     "description": "5bfd20fc",
@@ -30,7 +30,7 @@
     "capabilities": "8a3b232e",
     "modalities": "814867b9",
     "endpoints": "9a7c17cc",
-    "last_seen_at": "5c252aee"
+    "last_seen_at": "ebf8cb32"
   },
-  "last_updated": "2026-05-11"
+  "last_updated": "2026-06-30"
 }

packages/data/providers/fal/models/fal-ai-hyper3d-rodin-v2.5-fast.json

@@ -12,7 +12,7 @@
   "capabilities": {
     "vision": true
   },
-  "last_seen_at": "2026-06-24",
+  "last_seen_at": "2026-06-29",
   "_generated": {
     "name": "4ec3d424",
     "description": "b361b4d3",
@@ -22,7 +22,7 @@
     "page_url": "935930c9",
     "tagline": "b361b4d3",
     "capabilities": "d3117eb0",
-    "last_seen_at": "b7ac61f6"
+    "last_seen_at": "6717d6db"
   },
-  "last_updated": "2026-06-29"
+  "last_updated": "2026-06-30"
 }

packages/data/providers/fal/models/fal-ai-hyper3d-rodin-v2.5-text-to-3d-fast.json

@@ -12,7 +12,7 @@
   "capabilities": {
     "vision": true
   },
-  "last_seen_at": "2026-06-24",
+  "last_seen_at": "2026-06-29",
   "_generated": {
     "name": "58ba7137",
     "description": "b361b4d3",
@@ -22,7 +22,7 @@
     "page_url": "8d3a9bfe",
     "tagline": "b361b4d3",
     "capabilities": "d3117eb0",
-    "last_seen_at": "b7ac61f6"
+    "last_seen_at": "6717d6db"
   },
-  "last_updated": "2026-06-29"
+  "last_updated": "2026-06-30"
 }

packages/data/providers/fal/models/fal-ai-topaz-upscale-video.json

@@ -9,7 +9,7 @@
   "model_type": "other",
   "page_url": "https://fal.run/fal-ai/topaz/upscale/video",
   "tagline": "Professional-grade video upscaling using Topaz technology.",
-  "last_seen_at": "2026-05-26",
+  "last_seen_at": "2026-06-29",
   "_generated": {
     "name": "1ba50a12",
     "description": "57d6d065",
@@ -18,7 +18,7 @@
     "model_type": "ddb0b7bc",
     "page_url": "b5369296",
     "tagline": "57d6d065",
-    "last_seen_at": "1fa0004f"
+    "last_seen_at": "6717d6db"
   },
-  "last_updated": "2026-06-03"
+  "last_updated": "2026-06-30"
 }

packages/data/providers/fal/models/fal-ai-z-image-turbo.json

@@ -17,7 +17,7 @@
     "output": ["image"]
   },
   "endpoints": ["images"],
-  "last_seen_at": "2026-04-28",
+  "last_seen_at": "2026-06-30",
   "_generated": {
     "name": "c0b6417c",
     "description": "924942f7",
@@ -29,7 +29,7 @@
     "capabilities": "d3117eb0",
     "modalities": "814867b9",
     "endpoints": "9a7c17cc",
-    "last_seen_at": "52326430"
+    "last_seen_at": "ebf8cb32"
   },
-  "last_updated": "2026-06-03"
+  "last_updated": "2026-06-30"
 }

packages/data/providers/google/models/veo-2.0-generate-001.json

@@ -3,8 +3,8 @@
   "name": "veo-2.0-generate-001",
   "created_by": "google",
   "source": "official",
-  "last_updated": "2026-06-29",
-  "status": "active",
+  "last_updated": "2026-06-30",
+  "status": "deprecated",
   "model_type": "video",
   "capabilities": {
     "streaming": true,
@@ -23,7 +23,7 @@
   "endpoints": ["generateContent", "streamGenerateContent"],
   "_generated": {
     "name": "89076b1f",
-    "status": "379ac110",
+    "status": "2e2f74dc",
     "model_type": "4d1b75ca",
     "capabilities": "fdff467b",
     "modalities": "85fd0565",
@@ -34,12 +34,20 @@
     "page_url": "089bd203",
     "open_weight": "68934a3e",
     "description": "a07bf735",
-    "tagline": "b16f53f3"
+    "tagline": "b16f53f3",
+    "deprecation_date": "ebf8cb32",
+    "successor": "712c232f"
   },
   "family": "veo-2.0",
   "license": "proprietary",
   "page_url": "https://ai.google.dev/gemini-api/docs/models/veo-2.0-generate-001",
   "open_weight": false,
   "description": "The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. Home Gemini API Docs Send feedback Veo 2.0 This model is deprecated and will be shut down on **June 30, 2026**; migrate to Veo 3.1 Preview or the GA models available through the Gemini Enterprise Agent Platform to avoid service interruptions. Our robust and reliable stable video generation model, providing consistent performance for production-ready workflows. Veo 2.0 is best for standard 1080p content creation, social media assets, and high-volume video tasks that prioritize reliable character consistency and predictable sub-second generation speeds.",
-  "tagline": "Our robust and reliable stable video generation model, providing consistent performance for production-ready workflows."
+  "tagline": "Our robust and reliable stable video generation model, providing consistent performance for production-ready workflows.",
+  "deprecation_date": "2026-06-30",
+  "successor": [
+    "veo-3.1-generate-preview",
+    "the GA models on the Gemini Enterprise Agent Platf",
+    "m"
+  ]
 }