Claude Opus 5 tespit edildi: DesignArena
Onaylandı14 kanıt bağlantısı
İngilizce aslı

Anthropic
USD / 1 milyon token
| Girdi | Çıktı | Önbellekten girdi |
|---|---|---|
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| Model | Kanıt bağlantıları | Girdi / çıktı fiyatı |
|---|---|---|
claude-opus-5batch | anthropic API yolu kullanılamıyor | $2,50 / $12,50 |
claude-opus-5standard | anthropic | $5,00 / $25,00 |
anthropic/claude-opus-5standard | openrouter | $5,00 / $25,00 |
anthropic/claude-opus-5:batchbatch | openrouter | $2,50 / $12,50 |
anthropic/claude-opus-5standard | vercel-gateway | $5,00 / $25,00 |
anthropic/claude-opus-5-batchbatch | vercel-gateway | $2,50 / $12,50 |
Meta just released Muse Wonder According to the benchmarks, it's right up there with GPT 6 Astra and Claude Opus 5.5. The results look impressive, but the model might be heavily optimized for benchmarks. It's still unclear how well it actually performs in real world use. And yeah, most of you probably won't be able to try it through a subscription, since Muse is still only available in the US.
🚨 Gemini 4 Argon sits almost right on the Pareto frontier for price vs intelligence, next to Claude Opus 5.5 Medium and High
Claude Opus 5.5 owns almost the entire Pareto frontier
Opus 5.5 is much cheaper than Opus 5
🚨 Claude Opus 5.5 is out!
🚨 New Claude Opus drops early next week It will likely be called Opus 5.5 $4/$20 input/output pricing, 20% cheaper than Opus 5
I castrated Claude Code. Ripped almost everything out and left only the bare minimum: read, inspect, write. Startup context is now under 2k tokens. I also capped the context window at 200k tokens so it compacts earlier instead of chewing through my limits with bloated context. Basically pushed Claude Code much closer to Pi’s minimal approach. This is all on the $20 Claude Pro plan, running Opus 5 on low effort. For me, that’s the only setup that makes sense for actual work. Now I want to see how far I can stretch a $20 subscription like this. I’ll report back. If you’re interested in the experiment, let me know.
Researchers hacked OpenAI through a malicious image They found a bug in how OpenAI’s forum processed HEIC images. Uploading a crafted image gave them control over the forum server. From there, a flaw in OpenAI login let them access employee ChatGPT and Codex accounts, then reach an internal GitHub repo. Claude Opus 5 helped build the exploit within hours.
🚨 DeepSeek V4.1 Flash is out • New architecture: it only uses the part of the model it actually needs, making it faster and cheaper. • New KV cache: long conversations and agent workflows are noticeably cheaper to run. • On coding and agent tasks, it’s already close to Opus 5 and GPT-5.6 Sol. • And all of that at 15x lower cost.
🚨 Meta released Muse Spark 1.3 • beats GPT 5.6 Sol and Opus 5 on long coding tasks • matches GPT 5.6 Sol on terminal coding • huge jump in long context, scoring 98%+ • uses around 20% fewer tool calls and 25% fewer tokens than Spark 1.2
🚨 Anthropic basically admitted Opus 5 has problems After Chubby called out the laziness, sloppy mistakes and the downgrade from 4.6, Thariq agreed with the criticism and said improving consistency is now one of Anthropic’s top priorities.
Opus 5 could cost you 5 extra hours every month Anthropic says the average Claude Code user spends around 20 hours a week with it. Opus 5 writes about 60% more than Fable 5. That can add up to roughly 5.5 extra hours of reading every month.
Over the last few days, I burned through around 1.5 billion tokens using GPT-5.6 Luna. At first, I ran it on Max reasoning because that’s what everyone was recommending. Later I switched to xHigh. Max costs about twice as much as xHigh and, from what I can tell, also takes about twice as long to think. My main takeaway is that the model is genuinely very good. For short and medium tasks, I often had Claude Opus 5 double check Luna’s work, and most of the time it agreed with the result. Longer tasks are a different story. Luna can overthink things, lose track of what it was doing at the beginning, handle the middle well, and then fail to finish the last part properly. On these longer task
⚡️ Anthropic loosened Fable 5 safeguards The company updated its safety classifiers and cut false positives by around 85%. Fable 5 will now fall back to Opus 5 far less often for questions about health, symptoms, lab results and biology. Virology, toxicology and molecular design still remain restricted.
🚨 LEAK: Two new OpenAI models, Zinc and Magnesium, appeared in DesignArena. Likely GPT 5.6 Sol and Terra upgrades built to take on Claude Opus 5.
I thought this was a joke. Claude Opus 5 built an entire game in 24 hours. It has no third-party game assets: the world, objects, and sound are all generated with code. Play: https://longsilence.anshu.dev/ GitHub: https://github.com/achimala/TheLongSilence
⚡️ Claude Opus 5 has taken the #1 spot in the Frontend Arena The previous leader was Kimi K3.
Anthropic said it cut 80% of the system prompt for Opus 5 I checked the claim: Opus 4.8: 130K characters Opus 5: 135K characters So the prompt actually got longer. Maybe they meant some specific section inside the system prompt. Or maybe not.
Be like Dario Amodei > Spend months warning everyone about Mythos 5 > Then release a nerfed version called Fable 5 > Send everyone into a panic > Then start wondering whether to shut the model down entirely > A couple of weeks later, drop Opus 5 > Which beats Fable at half the price
⚡️ Claude Opus 5 is out Anthropic has released a new model built for coding and complex work. Opus 5 checks its work more carefully and doesn’t give up after the first failed attempt. When the obvious approach doesn’t work, it finds another way. In one benchmark, it even built its own computer vision pipeline to reconstruct a 3D model from an image. In terms of performance, Opus 5 comes close to Fable 5, while tasks cost roughly half as much. In some evaluations, it also beats Fable on price-to-performance. API pricing reminder: $5 per 1M input tokens and $25 per 1M output tokens.
⚡️ Claude Opus 5 outperforms Fable in benchmarks
⚡️ RELEASE: CLAUDE OPUS 5
GPT-5.6 Sol tops the frontend leaderboard Fresh metrics from Arena AI delivered an unexpected result: GPT-5.6 Sol xHigh shares first place with Claude Fable 5 in Code Arena: Frontend. This is the first time an OpenAI model has reached the top of the leaderboard. Sol costs $5 per million input tokens and $30 per million output tokens, roughly half the price of Fable. Yet it can already compete with it in frontend development, web app creation, and agentic coding. Anthropic now has a real competitor. Removing Fable from its subscription or restricting access has become risky, as users could simply switch to GPT-5.6 Sol. It looks like the development of Opus 5.0 may now need to accelerate.
Claude Opus 5, Anthropic tarafından geliştirilen bir yapay zekâ modelidir. Yayın tarihi: 2026-07-24. Bağlam penceresi 1.000.000 token uzunluğundadır. Model en fazla 128.000 token üretebilir. Bir milyon token başına giriş ücreti $5,00, çıkış ücreti $25,00 tutarındadır.
Bağlam penceresi 1.000.000 token uzunluğundadır. Model en fazla 128.000 token üretebilir.
Bir milyon token başına giriş ücreti $5,00, çıkış ücreti $25,00 tutarındadır. Önbellekten girdi fiyatı milyon token başına $0,50.
2026-07-24.