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GPT-5.2 Low just beat Opus 4.5 on a real code review. The cheapest reasoning setting caught issues the expensive model missed.

Ray Fernando

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48,096 次观看 • 7 个月前 •via X (Twitter)

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I stopped using the same AI to write and review code. Claude builds. GPT-5.2 Codex reviews. Result? More bugs caught, real security issues flagged, and better PRs all automated.

I stopped using the same AI to write and review code. Claude builds. GPT-5.2 Codex reviews. Result? More bugs caught, real security issues flagged, and better PRs all automated.

Mervin Praison

10,891 次观看 • 7 个月前

BREAKING 🚨: Perplexity LAUNCHES MODEL COUNCIL, A NEW MODE WHERE GEMINI 3 PRO, OPUS 4.5 AND GPT 5.2 WILL WORK AS A SWARM OF ASYNC AGENTS ON YOUR TASK. Perplexity MAX 🔥

BREAKING 🚨: Perplexity LAUNCHES MODEL COUNCIL, A NEW MODE WHERE GEMINI 3 PRO, OPUS 4.5 AND GPT 5.2 WILL WORK AS A SWARM OF ASYNC AGENTS ON YOUR TASK. Perplexity MAX 🔥

TestingCatalog News 🗞

239,482 次观看 • 6 个月前

Grok 4.5 operates at Opus-level intelligence and Sonnet-level pricing! We tested it against Claude Opus 4.8, Sonnet 5, and GLM 5.2 on a SpaceX mission: liftoff, stage sep, orbit insertion, satellite deploy. Grok 4.5 animates it more accurately and vividly than Sonnet 5 and GLM 5.2. Opus is the fastest and most expensive. Grok burns more tokens but still lands ~40% cheaper than Opus, and a bit under Sonnet 5. Time / tokens / cost: Grok 4.5 — / 35k / $0.69 Opus 4.8 — / 13.7k / $1.10 Sonnet 5 — / 22.1k / $0.78 GLM 5.2 — / 92.7k / $0.13 yet GLM did the whole mission for $0.13 😮

Grok 4.5 operates at Opus-level intelligence and Sonnet-level pricing! We tested it against Claude Opus 4.8, Sonnet 5, and GLM 5.2 on a SpaceX mission: liftoff, stage sep, orbit insertion, satellite deploy. Grok 4.5 animates it more accurately and vividly than Sonnet 5 and GLM 5.2. Opus is the fastest and most expensive. Grok burns more tokens but still lands ~40% cheaper than Opus, and a bit under Sonnet 5. Time / tokens / cost: Grok 4.5 — / 35k / $0.69 Opus 4.8 — / 13.7k / $1.10 Sonnet 5 — / 22.1k / $0.78 GLM 5.2 — / 92.7k / $0.13 yet GLM did the whole mission for $0.13 😮

GMI Cloud

150,809 次观看 • 1 个月前

Shipped a multiplayer game in 12 days. Never wrote Rust before. YeeBall is real-time, works on phone, supports tons of concurrent games. Opus 4.5 for planning. GPT-5.2 for implementation. All inside Cursor. The planning technique is what made it possible.

Shipped a multiplayer game in 12 days. Never wrote Rust before. YeeBall is real-time, works on phone, supports tons of concurrent games. Opus 4.5 for planning. GPT-5.2 for implementation. All inside Cursor. The planning technique is what made it possible.

Ray Fernando

13,719 次观看 • 7 个月前

2/ In GitHub Copilot, GPT-5.2 is a fantastic multi-purpose model, especially when it comes to long-context and reasoning when coding or investigating a complex code base. Also available today.

2/ In GitHub Copilot, GPT-5.2 is a fantastic multi-purpose model, especially when it comes to long-context and reasoning when coding or investigating a complex code base. Also available today.

Satya Nadella

70,468 次观看 • 8 个月前

🚨You can now use the new upcoming OpenAI model GPT 5.2 inside Cursor. Here is the full walkthrough. - Open the editor, go to settings and then the model tab. Add a custom model and enter the text "gpt-5.2-high" and "gpt-5.2". - After that you can select the model and ask questions. To verify, I started my test on the usage page which had zero gpt-5.2-high requests and consumption. After the test I could see the details in usage and the cost incurred while using it. Enjoy

🚨You can now use the new upcoming OpenAI model GPT 5.2 inside Cursor. Here is the full walkthrough. - Open the editor, go to settings and then the model tab. Add a custom model and enter the text "gpt-5.2-high" and "gpt-5.2". - After that you can select the model and ask questions. To verify, I started my test on the usage page which had zero gpt-5.2-high requests and consumption. After the test I could see the details in usage and the cost incurred while using it. Enjoy

AshutoshShrivastava

424,035 次观看 • 8 个月前

⚡️ JUST IN: MUSK LAUNCHES GROK 4.5, CALLING IT "OPUS-CLASS" AI MODEL Musk just released Grok 4.5 on Grok Build, Cursor, and the SpaceXAI Console, calling it an "Opus-class" AI model. He says it is faster, more token-efficient and lower cost, with EU access expected by mid-July. Built on a 1.5 TRILLION parameter foundation model, it drops the same day as OpenAI's GPT-5.6. API pricing is $2 per million input tokens and $6 per million output tokens.

⚡️ JUST IN: MUSK LAUNCHES GROK 4.5, CALLING IT "OPUS-CLASS" AI MODEL Musk just released Grok 4.5 on Grok Build, Cursor, and the SpaceXAI Console, calling it an "Opus-class" AI model. He says it is faster, more token-efficient and lower cost, with EU access expected by mid-July. Built on a 1.5 TRILLION parameter foundation model, it drops the same day as OpenAI's GPT-5.6. API pricing is $2 per million input tokens and $6 per million output tokens.

Coin Bureau

50,488 次观看 • 1 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

696,175 次观看 • 4 个月前

On sample workloads: Opus 4.8 -> Kimi 2.7 Code | 82% savings GPT 5.5 -> GLM 5.2 | 77% savings Gemini 3.5 Flash -> Nemotron 3 Ultra | 67% savings Run the numbers for your yourself:

On sample workloads: Opus 4.8 -> Kimi 2.7 Code | 82% savings GPT 5.5 -> GLM 5.2 | 77% savings Gemini 3.5 Flash -> Nemotron 3 Ultra | 67% savings Run the numbers for your yourself:

Philip Kiely

1,823,552 次观看 • 2 个月前

Grok 4.5 is first xAI model that win my heart 🫡 this is better then glm 5.2 and on par with current opus and gpt They cooked with the frontend too , like see this quality it made a website to showcase its benchmark and i asked it for water effects on background Elon Musk great job

Grok 4.5 is first xAI model that win my heart 🫡 this is better then glm 5.2 and on par with current opus and gpt They cooked with the frontend too , like see this quality it made a website to showcase its benchmark and i asked it for water effects on background Elon Musk great job

Chetaslua

49,206 次观看 • 1 个月前

A new frontier AI model just dropped on OpenRouter and it’s free. Pony Alpha delivers 200k context, visible reasoning, adjustable thinking depth, and agent-ready tool calling that rivals (and beats) Opus 4.5 in benchmarks. This one’s serious.

A new frontier AI model just dropped on OpenRouter and it’s free. Pony Alpha delivers 200k context, visible reasoning, adjustable thinking depth, and agent-ready tool calling that rivals (and beats) Opus 4.5 in benchmarks. This one’s serious.

Mervin Praison

23,400 次观看 • 6 个月前

Opus 4.8 for planning 🤝 GPT 5.5 for implementation Claude is a nicer conversation and /grilling partner than Codex in my experience, but GPT 5.5 on low cranks out higher quality code in fewer tokens. Here's how I divide up the work:

Opus 4.8 for planning 🤝 GPT 5.5 for implementation Claude is a nicer conversation and /grilling partner than Codex in my experience, but GPT 5.5 on low cranks out higher quality code in fewer tokens. Here's how I divide up the work:

Ben Holmes

23,115 次观看 • 3 个月前

Introducing Augment Code Review, powered by GPT 5.2. It's the #1-ranked AI code reviewer across precision, recall, and overall quality. Free for the first week for every paying customer, and free for open source projects.

Introducing Augment Code Review, powered by GPT 5.2. It's the #1-ranked AI code reviewer across precision, recall, and overall quality. Free for the first week for every paying customer, and free for open source projects.

Augment Code

20,585 次观看 • 8 个月前

Medium-depth reviews are now in public preview for GitHub Copilot code review. Increase the effort level from low to medium so reviews route to a higher-reasoning model for more thorough analysis. 🔍 Here's how to use it ⬇️

Medium-depth reviews are now in public preview for GitHub Copilot code review. Increase the effort level from low to medium so reviews route to a higher-reasoning model for more thorough analysis. 🔍 Here's how to use it ⬇️

GitHub

68,603 次观看 • 2 个月前

Grok 4.5 is a "Wow!" moment. 🤯 > Opus 4.8 & GPT-5.5 level on benchmarks > Costs less than Sonnet 5 Is that real? Hard to believe. Added Grok 4.5 as an implementer agent in fable-advisor. It replaces Sonnet 5. Use Fable as the orchestrator and a combo of: 1. Grok 4.5 2. Opus 4.8 3. GPT-5.5 As implementer agents. Uses the Grok Build CLI so if you log in with an X premium account you don't have to pay API fees.

Grok 4.5 is a "Wow!" moment. 🤯 > Opus 4.8 & GPT-5.5 level on benchmarks > Costs less than Sonnet 5 Is that real? Hard to believe. Added Grok 4.5 as an implementer agent in fable-advisor. It replaces Sonnet 5. Use Fable as the orchestrator and a combo of: 1. Grok 4.5 2. Opus 4.8 3. GPT-5.5 As implementer agents. Uses the Grok Build CLI so if you log in with an X premium account you don't have to pay API fees.

Dan McAteer

191,306 次观看 • 1 个月前

🚨 BREAKING NEWS - Abacus CoWork brings Claude, GPT 5.4 And Gemini To Your Laptop! Super excited to announce our MULTI-MODEL CoWork product! - combine the coding power of Opus with the reasoning prowess of GPT 5.4 - optimized for efficiency using "low effort" mode - computer use to tes - packaged for FREE with ChatLLM and Abacus AI's Deep Agent Get complex tasks done right on your laptop

🚨 BREAKING NEWS - Abacus CoWork brings Claude, GPT 5.4 And Gemini To Your Laptop! Super excited to announce our MULTI-MODEL CoWork product! - combine the coding power of Opus with the reasoning prowess of GPT 5.4 - optimized for efficiency using "low effort" mode - computer use to tes - packaged for FREE with ChatLLM and Abacus AI's Deep Agent Get complex tasks done right on your laptop

Bindu Reddy

15,653 次观看 • 5 个月前

Claude Sonnet 4.5 is now the default model for Augment Code. We’re rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker. Here’s how Sonnet 4.5 compares to Sonnet 4:

Claude Sonnet 4.5 is now the default model for Augment Code. We’re rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker. Here’s how Sonnet 4.5 compares to Sonnet 4:

Augment Code

29,476 次观看 • 11 个月前

Never bet against Cursor. Subagents solve so many issues between different models it's kind of insane, especially with Composer 1. Composer 1 can quickly gather context for a model like GPT-5.2 Codex, which otherwise could take on the order of 10 mins just to search files. Definitely one of the most underrated models right now. Now you get the benefits of it's speed, but can handoff to a smarter model at implementation. The video I attached is just a simple example, but you can see how long GPT 5.2 takes to gather context on a very simple problem. For harder problems, the search time grows significantly.

Never bet against Cursor. Subagents solve so many issues between different models it's kind of insane, especially with Composer 1. Composer 1 can quickly gather context for a model like GPT-5.2 Codex, which otherwise could take on the order of 10 mins just to search files. Definitely one of the most underrated models right now. Now you get the benefits of it's speed, but can handoff to a smarter model at implementation. The video I attached is just a simple example, but you can see how long GPT 5.2 takes to gather context on a very simple problem. For harder problems, the search time grows significantly.

ostyn

19,708 次观看 • 7 个月前

Claude Opus 5 - zoom into a phone screen 10 layers down, all the way to the atomic level. Reasoning setting: Max Cost: $33.78 (via Agent Arena)

Claude Opus 5 - zoom into a phone screen 10 layers down, all the way to the atomic level. Reasoning setting: Max Cost: $33.78 (via Agent Arena)

Peter Gostev (SF 24-28 August)

71,416 次观看 • 1 个月前

Here is a demo of the most comprehensive research agent for your code docs, powered by Nozomio Labs. It turns your indexed repos and docs into a dynamic tree that the agent can access on the fly, using SOTA tools to reduce code hallucinations. Now using the latest Anthropic model, Claude Opus 4.5.

Here is a demo of the most comprehensive research agent for your code docs, powered by Nozomio Labs. It turns your indexed repos and docs into a dynamic tree that the agent can access on the fly, using SOTA tools to reduce code hallucinations. Now using the latest Anthropic model, Claude Opus 4.5.

Arlan

28,405 次观看 • 9 个月前