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We put the top three Code Arena models head-to-head: Opus 4.5 Thinking 32k, Opus 4.5, and Gemini 3 Pro. They’re just 20 points apart. Same tough prompts, different results. Here’s what stood out. Remember, your votes drive the rankings. Watch how these contenders move on the leaderboard as more... show more

Arena.ai

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163,929 次观看 • 8 个月前 •via X (Twitter)

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I've just updated our Figma to shadcn plugin with the new AI models: - Claude Opus 4.5 - Gemini Pro 3.0 Preview In the video below you can see how Opus one-shotted this simple dashboard. Incredible result. shadcndesign . com/plugin

I've just updated our Figma to shadcn plugin with the new AI models: - Claude Opus 4.5 - Gemini Pro 3.0 Preview In the video below you can see how Opus one-shotted this simple dashboard. Incredible result. shadcndesign . com/plugin

Matt

36,201 次观看 • 8 个月前

Head of Anthropic Labs: "Fable is one of those models you'll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. Fable is way smarter than me. It finishes a task, lists its trade-offs, and I have to ask it to explain them to me." in 20-minute talk, the Anthropic head reveals the full capabilities of the Fable 5 model in practice. Watch it now, then read how to use this frontier model in the article below

Head of Anthropic Labs: "Fable is one of those models you'll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. Fable is way smarter than me. It finishes a task, lists its trade-offs, and I have to ask it to explain them to me." in 20-minute talk, the Anthropic head reveals the full capabilities of the Fable 5 model in practice. Watch it now, then read how to use this frontier model in the article below

Movez

33,774 次观看 • 1 个月前

Sorry babes, you were all wrong. I put Gemini 3, Claude Opus-4.5, and GPT-5.1 Codex head to head in a one shot design battle, and one was the clear winner. Find out which on this week's mini ep of How I AI: Big 💜 to this week's sponsor, Lovable

Sorry babes, you were all wrong. I put Gemini 3, Claude Opus-4.5, and GPT-5.1 Codex head to head in a one shot design battle, and one was the clear winner. Find out which on this week's mini ep of How I AI: Big 💜 to this week's sponsor, Lovable

claire vo 🖤

70,817 次观看 • 8 个月前

claude opus 4.5 is finally here, so we tested it against gemini 3 to see which one is the better at vibe coding we took a new startup idea and went from idea to landing page to prototype to ad creative in one sitting. you also see how The Boring Marketer uses claude skills to get the most out of claude opus 4.5 (and how you can do the same). if you’re wondering whether opus 4.5 is worth using, this 1hr tutorial will help you decide and learn how to get the most from it.

claude opus 4.5 is finally here, so we tested it against gemini 3 to see which one is the better at vibe coding we took a new startup idea and went from idea to landing page to prototype to ad creative in one sitting. you also see how The Boring Marketer uses claude skills to get the most out of claude opus 4.5 (and how you can do the same). if you’re wondering whether opus 4.5 is worth using, this 1hr tutorial will help you decide and learn how to get the most from it.

GREG ISENBERG

84,982 次观看 • 9 个月前

GLM 4.7 is one of the top open-source models on LM Arena—and it's going toe-to-toe with Claude Opus 4.5 and Gemini Pro. We sat down with Anastasios Nikolas Angelopoulos, co-founder and CEO of Arena.ai, to break down 8,000+ developer votes: → Within 30 points of Gemini Pro in math & coding → Frontier-level multi-turn & instruction following → The open-source model devs are actually switching to The best part? You can run it at 1,500+ tokens/sec on Cerebras—for free.

GLM 4.7 is one of the top open-source models on LM Arena—and it's going toe-to-toe with Claude Opus 4.5 and Gemini Pro. We sat down with Anastasios Nikolas Angelopoulos, co-founder and CEO of Arena.ai, to break down 8,000+ developer votes: → Within 30 points of Gemini Pro in math & coding → Frontier-level multi-turn & instruction following → The open-source model devs are actually switching to The best part? You can run it at 1,500+ tokens/sec on Cerebras—for free.

Cerebras

28,515 次观看 • 6 个月前

👨‍💻Have you tested models in the new Code Arena yet? In this thread, we’re showcasing real Gemini 3 Pro by Google DeepMind creations and the exact prompts used, all of them built inside the Code Arena. You can directly compare Gemini’s outputs against other top frontier models on real web development tasks. Build, compare, vote, and share your own creations directly from the chat. See examples in the thread. 🧵

👨‍💻Have you tested models in the new Code Arena yet? In this thread, we’re showcasing real Gemini 3 Pro by Google DeepMind creations and the exact prompts used, all of them built inside the Code Arena. You can directly compare Gemini’s outputs against other top frontier models on real web development tasks. Build, compare, vote, and share your own creations directly from the chat. See examples in the thread. 🧵

Arena.ai

25,393 次观看 • 9 个月前

OPUS 4.6 WAS NERFED DUE TO DEMAND BUT OPUS 4.5 DOES NOT SEEM TO BE HIT this guy ran the same test on both models. Opus 4.6 fails consistently but Opus 4.5 passes every time he switched back to Opus 4.5 on Claude Code and said "what a difference, feels like i got Opus back finally" he is now using this test as a "quantization canary" that runs it at the start of every session before doing real work. if it fails, the model is degraded. five Opus 4.6 windows in a row failed the untransparent nerfing is pushing people to cancel their Max plans if you've been feeling like Opus got dumber lately, you're not imagining it i'd suggest switching to Opus 4.5 to see the difference for yourself

OPUS 4.6 WAS NERFED DUE TO DEMAND BUT OPUS 4.5 DOES NOT SEEM TO BE HIT this guy ran the same test on both models. Opus 4.6 fails consistently but Opus 4.5 passes every time he switched back to Opus 4.5 on Claude Code and said "what a difference, feels like i got Opus back finally" he is now using this test as a "quantization canary" that runs it at the start of every session before doing real work. if it fails, the model is degraded. five Opus 4.6 windows in a row failed the untransparent nerfing is pushing people to cancel their Max plans if you've been feeling like Opus got dumber lately, you're not imagining it i'd suggest switching to Opus 4.5 to see the difference for yourself

Om Patel

696,136 次观看 • 4 个月前

Anthropic engineer: "Fable is one of those models you’ll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. We just removed 80% of Claude Code’s system prompt. A new class of models wants a smaller prompt." in 20-minute session, an Anthropic core engineer reveals the capabilities of Fable. Watch it now, then read how to use this frontier model in the article below.

Anthropic engineer: "Fable is one of those models you’ll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. We just removed 80% of Claude Code’s system prompt. A new class of models wants a smaller prompt." in 20-minute session, an Anthropic core engineer reveals the capabilities of Fable. Watch it now, then read how to use this frontier model in the article below.

Movez

551,515 次观看 • 1 个月前

How does the #1 open Text Arena model hold up in agentic coding tasks? We tested GLM-5 in Code Arena with head-to-head SVG prompts vs. top frontier AI models. What do you think? Scores for Z.ai 's GLM-5 in Code Arena coming soon. Test out GLM-5 for yourself and get voting.

How does the #1 open Text Arena model hold up in agentic coding tasks? We tested GLM-5 in Code Arena with head-to-head SVG prompts vs. top frontier AI models. What do you think? Scores for Z.ai 's GLM-5 in Code Arena coming soon. Test out GLM-5 for yourself and get voting.

Arena.ai

115,220 次观看 • 6 个月前

Opus 4.5 is insane. Just shipped v2 of my compounding engineering plugin—watch the video for my full thoughts on the model. Compounding engineering plugin v2: This wouldn't have worked a week ago. Previous models would derail after the second parallel thread. Opus 4.5 held the context, made the right decisions, and shipped clean pull requests to both repos. New in the plugin: codify command (captures learnings automatically), updated plan mode, better prompting patterns for Opus 4.5's strengths. If you're coding with Claude, this is your new daily driver.

Opus 4.5 is insane. Just shipped v2 of my compounding engineering plugin—watch the video for my full thoughts on the model. Compounding engineering plugin v2: This wouldn't have worked a week ago. Previous models would derail after the second parallel thread. Opus 4.5 held the context, made the right decisions, and shipped clean pull requests to both repos. New in the plugin: codify command (captures learnings automatically), updated plan mode, better prompting patterns for Opus 4.5's strengths. If you're coding with Claude, this is your new daily driver.

Kieran Klaassen

182,734 次观看 • 9 个月前

✨Spotlight: Top 4 Code Arena open models Open models are moving fast, and this community is directly shaping how that progress shows up in real use. Your builds, votes, and experiments surface what frontier models can actually do in practice. To celebrate the momentum, we’re spotlighting the top open models in Code Arena (WebDev) 🧵👇 🔥 MiniMax (official) — MiniMax-M2.1 🤖 Z.ai — GLM-4.7 ✨ DeepSeek — Deepseek-v3.2-thinking 🚀 Xiaomi MiMo — Mimo-v2-flash (non-thinking) Let’s keep building in the open and raising the bar together 🚀

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Arena.ai

16,798 次观看 • 7 个月前

Yesterday we found out Qwen3.5-27B (dense) beats both the 35B and 122B MoE variants at UI replication from screenshots. Today's question: what about Jackrong's Qwen3.5-27B-Claude-Opus-4.6-Reasoning-Distilled? A distilled 27B with Claude Opus 4.6 reasoning baked in. So I put all 3 in the ring: - Qwen3.5-27B - Qwen3.5-27B-Claude-Opus-Distilled - Claude Opus 4.6 Since the distilled model isn't multimodal, I gave all three the same detailed text prompts describing the UI components from yesterday's test.

Yesterday we found out Qwen3.5-27B (dense) beats both the 35B and 122B MoE variants at UI replication from screenshots. Today's question: what about Jackrong's Qwen3.5-27B-Claude-Opus-4.6-Reasoning-Distilled? A distilled 27B with Claude Opus 4.6 reasoning baked in. So I put all 3 in the ring: - Qwen3.5-27B - Qwen3.5-27B-Claude-Opus-Distilled - Claude Opus 4.6 Since the distilled model isn't multimodal, I gave all three the same detailed text prompts describing the UI components from yesterday's test.

stevibe

126,288 次观看 • 5 个月前

Hao AI Lab put the latest top AI models—GPT-4.1, Gemini 2.5 Pro, Llama-4 Maverick, and more—to the test in Ace Attorney, to see if they could shout Objection! ⚖️, turn the case around, and uncover the truth behind the lies results are out on Game Arena Bench on Hugging Face

Hao AI Lab put the latest top AI models—GPT-4.1, Gemini 2.5 Pro, Llama-4 Maverick, and more—to the test in Ace Attorney, to see if they could shout Objection! ⚖️, turn the case around, and uncover the truth behind the lies results are out on Game Arena Bench on Hugging Face

AK

80,204 次观看 • 1 年前

BREAKING NEWS: Anthropic just dropped Claude Ops 4.5!! It is by FAR the best coding model I've ever used. We've been testing it internally Every 📧 for the last few days, and it is an absolute paradigm shift for any kind of coding task. It extends the horizon of what you can vibe code The current generation of new models—Anthropic’s Sonnet 4.5, Google’s Gemini 3, or OpenAI’s Codex Max 5.1—can all competently build a minimum viable product in one shot, or fix a highly technical bug autonomously. But eventually, if you kept pushing them to vibe code more, they’d start to trip over their own feet: The code would be convoluted and contradictory, and you’d get stuck in endless bugs. We have not found that limit yet with Opus 4.5—it seems to be able to vibe code forever. Takes working in parallel to a whole new level because it's far better at planning and coding, it can work with more autonomy—meaning you can do more in parallel without breaking anything . Kieran Klaassen worked on 11 different projects in six hours—and had good results on all of them. Great at design iteration Opus 4.5 is incredibly skilled at iterating through a design autonomously using an MCP like Playwright. previous models would lose the thread after a few cycles, or say a design was done when it wasn't. Opus 4.5 is incredible at autonomously iterating until a design is pixel perfect. we have a full 4,000 word vibe check on Every 📧 right now with everything we tested:

BREAKING NEWS: Anthropic just dropped Claude Ops 4.5!! It is by FAR the best coding model I've ever used. We've been testing it internally Every 📧 for the last few days, and it is an absolute paradigm shift for any kind of coding task. It extends the horizon of what you can vibe code The current generation of new models—Anthropic’s Sonnet 4.5, Google’s Gemini 3, or OpenAI’s Codex Max 5.1—can all competently build a minimum viable product in one shot, or fix a highly technical bug autonomously. But eventually, if you kept pushing them to vibe code more, they’d start to trip over their own feet: The code would be convoluted and contradictory, and you’d get stuck in endless bugs. We have not found that limit yet with Opus 4.5—it seems to be able to vibe code forever. Takes working in parallel to a whole new level because it's far better at planning and coding, it can work with more autonomy—meaning you can do more in parallel without breaking anything . Kieran Klaassen worked on 11 different projects in six hours—and had good results on all of them. Great at design iteration Opus 4.5 is incredibly skilled at iterating through a design autonomously using an MCP like Playwright. previous models would lose the thread after a few cycles, or say a design was done when it wasn't. Opus 4.5 is incredible at autonomously iterating until a design is pixel perfect. we have a full 4,000 word vibe check on Every 📧 right now with everything we tested:

Dan Shipper 📧

272,699 次观看 • 9 个月前

Boris Cherny, creator of Claude Code: "Opus 5 does in a day what used to take your team a month. Most people will keep using it wrong." In 12 minutes he explains why Opus 5 needs less prompting than any model before, and why your old detailed prompts now work against you. Watch it, then read the article below on how to prompt Opus 5 👇

Boris Cherny, creator of Claude Code: "Opus 5 does in a day what used to take your team a month. Most people will keep using it wrong." In 12 minutes he explains why Opus 5 needs less prompting than any model before, and why your old detailed prompts now work against you. Watch it, then read the article below on how to prompt Opus 5 👇

Rahul

304,485 次观看 • 27 天前

🗳️ VOTING IS OFFICIALLY OPEN FOR THE CRAFTED TOGETHER AWARDS! 🗳️ Head to the site in our bio to put your votes in for 40 different awards... 👀 We also have a pretty important announcement regarding the show so please be sure to watch the full video below! 💜 #TheCTA

🗳️ VOTING IS OFFICIALLY OPEN FOR THE CRAFTED TOGETHER AWARDS! 🗳️ Head to the site in our bio to put your votes in for 40 different awards... 👀 We also have a pretty important announcement regarding the show so please be sure to watch the full video below! 💜 #TheCTA

The Crafted Together Awards

51,030 次观看 • 9 个月前

Which LLM reasons best when it doesn't have all the information? Enter LLM Poker Arena to find out. It's a Poker Playing benchmark where top reasoning models play Texas Hold'em poker against each other. Claude Opus 4.5, GPT-5.2, Gemini 2.5 Pro, and Grok 4 all sit at the same table and play full tournaments to see who finishes with the chips. Poker is very different when it comes to reasoning. It has to balance probabilistic reasoning, opponent modeling and make decisions under uncertainty. Poker is an interesting evaluation because it tests reasoning under incomplete information, something most coding benchmarks do not capture. In this tournaments the rules are: - Each LLM starts with $1,000 chips - Small and big blinds start at $25 / $50 - Blinds double every 3 minutes - All models run in their reasoning or thinking modes After the first 5 tournaments: - Claude Opus 4.5 with Thinking has 3 wins - GPT-5.2 has 2 wins - Grok 4 and Gemini 2.5 Pro have 0 wins Early results suggest Claude performs quite well at poker as well. Also five is a very small sample size. Planning to run many more tournaments, publish the full benchmark data and add a prediction market on top of it. Thanks for the suggestion clipz. Much more coming as part of Poker Cities !! This was built on Replit ⠕ using their AI integrations, which made it straightforward to connect Claude, GPT, and Gemini. What model do you think wins after 100 tournaments?

Which LLM reasons best when it doesn't have all the information? Enter LLM Poker Arena to find out. It's a Poker Playing benchmark where top reasoning models play Texas Hold'em poker against each other. Claude Opus 4.5, GPT-5.2, Gemini 2.5 Pro, and Grok 4 all sit at the same table and play full tournaments to see who finishes with the chips. Poker is very different when it comes to reasoning. It has to balance probabilistic reasoning, opponent modeling and make decisions under uncertainty. Poker is an interesting evaluation because it tests reasoning under incomplete information, something most coding benchmarks do not capture. In this tournaments the rules are: - Each LLM starts with $1,000 chips - Small and big blinds start at $25 / $50 - Blinds double every 3 minutes - All models run in their reasoning or thinking modes After the first 5 tournaments: - Claude Opus 4.5 with Thinking has 3 wins - GPT-5.2 has 2 wins - Grok 4 and Gemini 2.5 Pro have 0 wins Early results suggest Claude performs quite well at poker as well. Also five is a very small sample size. Planning to run many more tournaments, publish the full benchmark data and add a prediction market on top of it. Thanks for the suggestion clipz. Much more coming as part of Poker Cities !! This was built on Replit ⠕ using their AI integrations, which made it straightforward to connect Claude, GPT, and Gemini. What model do you think wins after 100 tournaments?

Anshul Dhawan

32,192 次观看 • 7 个月前

The Segment Anything Playground is a new way to interact with media. Experiment with Meta’s most advanced segmentation models, including SAM 3 + SAM 3D, and discover how these capabilities can transform your creative projects and technical workflows. Check out some inspo and tips in the 🧵 below, then head over to the Playground to get started:

The Segment Anything Playground is a new way to interact with media. Experiment with Meta’s most advanced segmentation models, including SAM 3 + SAM 3D, and discover how these capabilities can transform your creative projects and technical workflows. Check out some inspo and tips in the 🧵 below, then head over to the Playground to get started:

AI at Meta

24,763 次观看 • 9 个月前

“Real-world impact has come much faster with AI than it did with mobile.” -Mike Krieger AI is already changing budgets, workflows, and P&Ls. I sat with Mike Krieger, CPO at Anthropic. Here’s what he told me: • How AI is driving revenue today • Sonnet 4.5: Opus-level brains at 1/5 the cost • Agents that can run 30 hours on tough coding tasks • How Claude Code lands in the enterprise Watch our full conversation below 👇

“Real-world impact has come much faster with AI than it did with mobile.” -Mike Krieger AI is already changing budgets, workflows, and P&Ls. I sat with Mike Krieger, CPO at Anthropic. Here’s what he told me: • How AI is driving revenue today • Sonnet 4.5: Opus-level brains at 1/5 the cost • Agents that can run 30 hours on tough coding tasks • How Claude Code lands in the enterprise Watch our full conversation below 👇

Zain Kahn

739,802 次观看 • 10 个月前

ArenaX Labs, creator of AI Arena, is thrilled to announce a $6M funding round led by Framework Ventures! To celebrate, Vance Spencer & Michael Anderson agreed to go head-to-head in the Arena. Who do you think will come out on top? Leave your predictions in the comments below!

ArenaX Labs, creator of AI Arena, is thrilled to announce a $6M funding round led by Framework Ventures! To celebrate, Vance Spencer & Michael Anderson agreed to go head-to-head in the Arena. Who do you think will come out on top? Leave your predictions in the comments below!

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107,862 次观看 • 2 年前