Viewing enriched Twitter post
Ring-mini-2.0 With only 16B total parameters and 1.4B activated parameters, it achieves comprehensive reasoning capabilities comparable to dense models below the 10B scale On multiple benchmarks (LiveCodeBench, AIME 2025, GPQA, ARC-AGI-v1, etc.), outperforms dense models below 10B and even rivals larger MoE models (e.g., gpt-oss-20B-medium) with comparable output lengths, particularly excelling in logical reasoning vibe coded a quick chat app in anycoder
{
"media": [
{
"type": "photo",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1968128879463166007/media_0.jpg?",
"filename": "media_0.jpg"
}
],
"processed_at": "2025-09-18T14:21:54.984343",
"pipeline_version": "2.0"
}{
"type": "tweet",
"id": "1968128879463166007",
"url": "https://x.com/_akhaliq/status/1968128879463166007",
"twitterUrl": "https://twitter.com/_akhaliq/status/1968128879463166007",
"text": "Ring-mini-2.0\n\nWith only 16B total parameters and 1.4B activated parameters, it achieves comprehensive reasoning capabilities comparable to dense models below the 10B scale\n\nOn multiple benchmarks (LiveCodeBench, AIME 2025, GPQA, ARC-AGI-v1, etc.), outperforms dense models below 10B and even rivals larger MoE models (e.g., gpt-oss-20B-medium) with comparable output lengths, particularly excelling in logical reasoning\n\nvibe coded a quick chat app in anycoder",
"source": "Twitter for iPhone",
"retweetCount": 24,
"replyCount": 6,
"likeCount": 190,
"quoteCount": 2,
"viewCount": 18356,
"createdAt": "Wed Sep 17 01:44:25 +0000 2025",
"lang": "en",
"bookmarkCount": 80,
"isReply": false,
"inReplyToId": null,
"conversationId": "1968128879463166007",
"displayTextRange": [
0,
280
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "_akhaliq",
"url": "https://x.com/_akhaliq",
"twitterUrl": "https://twitter.com/_akhaliq",
"id": "2465283662",
"name": "AK",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1451191636810092553/kpM5Fe12_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/2465283662/1610997549",
"description": "",
"location": "",
"followers": 426594,
"following": 3089,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Sun Apr 27 00:20:12 +0000 2014",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 37207,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 18806,
"statusesCount": 44292,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1844746338396770616"
],
"profile_bio": {
"description": "AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo ,submit papers here: https://t.co/UzmYN5YmrQ",
"entities": {
"description": {
"urls": [
{
"display_url": "huggingface.co/papers/submit",
"expanded_url": "https://huggingface.co/papers/submit",
"indices": [
96,
119
],
"url": "https://t.co/UzmYN5YmrQ"
}
],
"user_mentions": [
{
"id_str": "0",
"indices": [
29,
36
],
"name": "",
"screen_name": "Gradio"
},
{
"id_str": "0",
"indices": [
46,
58
],
"name": "",
"screen_name": "HuggingFace"
}
]
},
"url": {
"urls": [
{
"display_url": "huggingface.co/akhaliq",
"expanded_url": "https://huggingface.co/akhaliq",
"indices": [
0,
23
],
"url": "https://t.co/q2Qoey8yw5"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"allow_download_status": {
"allow_download": true
},
"display_url": "pic.twitter.com/2oGLK1HF8s",
"expanded_url": "https://twitter.com/_akhaliq/status/1968128879463166007/photo/1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {},
"orig": {}
},
"id_str": "1968128722604597248",
"indices": [
281,
304
],
"media_key": "3_1968128722604597248",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARtQMqVHFyAACgACG1AyycyW8DcAAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABG1AypUcXIAAKAAIbUDLJzJbwNwAA",
"media_key": "3_1968128722604597248"
}
},
"media_url_https": "https://pbs.twimg.com/media/G1AypUcXIAAICtE.jpg",
"original_info": {
"focus_rects": [
{
"h": 907,
"w": 1620,
"x": 185,
"y": 0
},
{
"h": 907,
"w": 907,
"x": 898,
"y": 0
},
{
"h": 907,
"w": 796,
"x": 1009,
"y": 0
},
{
"h": 907,
"w": 454,
"x": 1350,
"y": 0
},
{
"h": 907,
"w": 1805,
"x": 0,
"y": 0
}
],
"height": 907,
"width": 1805
},
"sizes": {
"large": {
"h": 907,
"w": 1805
}
},
"type": "photo",
"url": "https://t.co/2oGLK1HF8s"
}
]
},
"card": null,
"place": {},
"entities": {},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
}