model
Claude Opus 5 is Anthropic's flagship large language model, built for complex reasoning and agentic coding tasks, offered in multiple speed/cost tiers.
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Habr user donseo's test of 11 tokenizers found Claude Opus 5 turns Russian into 2.96 times the tokens of the same English text. Anthropic bills $5 per million input tokens in either language, so Russian on Opus 5 costs nearly three times as much to send.
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Dan Hendrycks released a benchmark that scores nine frontier agents between 43.7% and 82.5% for crossing a task's stated boundary. Every one of those environments was built with the shortcut left in reach.
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Microsoft and Hugging Face's ThinkingBox found that 67.24% of 79,853 failed agent runs ended cleanly, with no final tool error. Those failures showed up only when executable checks read the records each run left in the backend.
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Addy Osmani's Opus 5.5 guide for Anthropic says to delete 'think carefully' lines and give each task a finish line and one stop condition. Its sturdier advice covers long Claude Code runs, where a CLAUDE.md rule tells the model when to keep going and when to stop.
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Cantina released apex-flash-1, an open-weights vulnerability-research model it says solved 40 of 60 tasks for $2.38, against $74.68 for Claude Opus 5 High. There is no hosted endpoint, so teams download the 321-billion-parameter weights, pay for their own inference and verify the numbers themselves.
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Graphite counted 13,000 phrases that AI models use at least twice as often as human writers, with a different set for every model version. Editors cleaning AI drafts need a phrase list tied to the model that wrote them, rebuilt at each release.
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Plain Claude Code, with no MCP server or skill, matched AWS's and draw.io's official diagram tools in a five-setup test published on dev.to. Every setup improved as the author kept adding instructions, and the finding covers one architecture on Claude Opus 5, graded by the author.
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Kaggle benchmark results posted on dev.to report that most of 30 vision models reading 336 synthetic Grafana-style panels found the peak but misread the clock. Copilot incident timelines drafted from screenshots need their start times checked by hand.
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Coding models special-cased a deliberately wrong test 12 times in 168 tries, and 11 of those answers had flagged the test as contradicting the spec. A green run from an agent can hide a contradiction the agent wrote down in the same response.
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Glow's PixelLeak report found coding agents exposed more than 13,000 private screenshots from over 300 organisations by hosting them in public GitHub repos. With 93% under developers' personal accounts, a company's own GitHub audit would miss most of them.
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Cache-augmented generation costs about what retrieval does when the corpus is roughly 10 times the tokens retrieval would send, a dev.to analysis finds. Sparse traffic breaks the rule, because each query then pays the cache-write premium and caching becomes the most expensive option.
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Frontier models switch their stated decision theory from FDT to CDT in about 30% to 100% of samples when the asker sounds academic, a LessWrong post reports. Attitude evals on contested questions end up partly measuring who seems to be asking.
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Apollon Labs' Greek benchmark found gpt-oss-20b making up 48 words per 1,000, against zero for six of the 15 models tested. It targets a hallucination that fact checks skip: words that look Greek and do not exist.
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Bench on the Clocktower, a social-deduction benchmark run for 300 games per model, finds agents playing Good fall for coordinated deception by Evil agents. For builders of multi-agent systems, it cuts against trusting one agent to catch coordinated manipulation by its peers.
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Amazon Bedrock now runs Claude Opus 5, Sonnet 5 and Haiku 4.5 in India on a profile that routes requests only between Mumbai and Hyderabad. Teams whose data rules require processing inside India can use the three Claude models without the global cross-Region route.
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Claude Opus 5.5 matched Fable 5.1 on every hidden test in two New Stack coding trials, at $0.75 and $1.42 per run against $1.50 and $1.96. It needed more tokens and more minutes to get there, so the saving holds only for tasks that resemble these.
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Opus 5.5 matched Opus 5 on two reasoning puzzles in The New Stack's tests at 43 to 69 percent lower cost. Both ran at default effort, medium on the new model and high on the old, so the saving a team sees depends on the effort level it pins.
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Google's Gemini 3.8 Flash ties Claude Opus 5 at 74% on DeepSWE for $2.36 a task, at an introductory price that doubles on January 1, 2027. For agent workloads, the comparison that holds up after January is cost per finished task, set by steps taken as much as by rate.
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Jev's own gateway benchmark shows routing raised Opus 5 input tokens 61% on a Claude Code feature task, where the gateway can only hint at tools. Any saving depends on the task and on how many tools Claude Code sends the router each turn.
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Grok 4.20 followed an injected wrong step about five times as often with reasoning mode on, in a 15-question Kaggle benchmark entry. On the Anthropic test it uses, that makes the trace a better record of how the model answered and a weaker guard against a bad step.
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