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答案公共網址2026年4月24日21 來源

請搜尋更多關於 Claude Opus 4.7 同 GPT 5.5 嘅資料，並以表格形式向我展示最後嘅比較結果。

根據你提供嘅證據，我可以確認 Claude Opus 4.7 有官方產品頁、第三方平台模型頁同官方定價文件；但我未見到任何可靠官方來源證明「GPT 5.5」已經公開提供，所以而家做唔到完整、對等嘅最終性能/價格比較。OpenAI 提供嘅證據只明確顯示官方文件提到「Latest: GPT 5.4」，唔係 GPT 5.5。[1][3][5] 最後比較表 | 比較項目 | Claude Opus 4.7 | GPT 5.5 | 目前可下...

根據你提供嘅證據，我可以確認 Claude Opus 4.7 有官方產品頁、第三方平台模型頁同官方定價文件；但我未見到任何可靠官方來源證明「GPT 5.5」已經公開提供，所以而家做唔到完整、對等嘅最終性能/價格比較。OpenAI 提供嘅證據只明確顯示官方文件提到「Latest: GPT 5.4」，唔係 GPT 5.5。[1][3][5] 最後比較表 | 比較項目 | Claude Opus 4.7 | GPT 5.5 | 目前可下結論 | | | | | | | 官方模型頁 | 有，Anthropic 有 Claude Opus 4.7 官方頁面。[7] | 你提供嘅官方 OpenAI 證據入面，未見 GPT 5.5 模型頁。[1]

重點

  • 根據你提供嘅證據，我可以確認 Claude Opus 4.7 有官方產品頁、第三方平台模型頁同官方定價文件；但我未見到任何可靠官方來源證明「GPT-5.5」已經公開提供，所以而家做唔到完整、對等嘅最終性能/價格比較。OpenAI 提供嘅證據只明確顯示官方文件提到「Latest: GPT-5.4」，唔係 GPT-5.5。[1][3][5]
  • ## 最後比較表

研究答案

根據你提供嘅證據，我可以確認 Claude Opus 4.7 有官方產品頁、第三方平台模型頁同官方定價文件；但我未見到任何可靠官方來源證明「GPT-5.5」已經公開提供，所以而家做唔到完整、對等嘅最終性能/價格比較。OpenAI 提供嘅證據只明確顯示官方文件提到「Latest: GPT-5.4」，唔係 GPT-5.5。[1][3][5]

最後比較表

比較項目Claude Opus 4.7GPT 5.5目前可下結論
官方模型頁有，Anthropic 有 Claude Opus 4.7 官方頁面。[7]你提供嘅官方 OpenAI 證據入面，未見 GPT-5.5 模型頁。[1][5]Claude Opus 4.7 證據明確；GPT-5.5 證據不足。[1][5][7]
官方 API 定價資訊有，Claude API 定價文件明確提到 Claude Opus 4.7。[4]OpenAI 有 API 定價頁，但你提供嘅證據冇顯示 GPT-5.5 定價項目。[1][3]目前只可確認 Claude Opus 4.7 有明確定價文件；GPT-5.5 冇足夠證據。[1][3][4]
第三方平台可見度Cloudflare Docs 有 Claude Opus 4.7 模型頁，表示佢至少喺該平台有文件記錄。[2]你提供嘅證據冇任何對應 GPT-5.5 嘅第三方平台模型頁。[2]Claude Opus 4.7 可見度較高；GPT-5.5 證據不足。[2]
OpenAI 官方「最新模型」線索不適用。[1]OpenAI API 文件片段顯示「Latest: GPT-5.4」。[1]以現有官方證據，GPT-5.5 未被證實；反而 GPT-5.4 被標示為最新。[1]
是否可做完整價格比較可以確認 Claude 一邊有資料。[4]唔可以，因為缺少 GPT-5.5 官方價格或規格資料。[1][3][5]暫時唔可以做公平對比。[1][3][4][5]
是否可做完整規格/性能比較你提供嘅證據只證明 Claude Opus 4.7 存在及有定價/頁面，但冇詳細性能數據。[2][4][7]冇 GPT-5.5 官方規格或基準資料。[1][5]證據不足，無法完成完整規格或性能比較。[1][2][4][5][7]

重點結論

  • Claude Opus 4.7 嘅存在、官方頁面同 API 定價都可以由現有證據確認。[2][4][7]
  • 你提供嘅 OpenAI 官方證據入面，未見 GPT-5.5；相反，OpenAI API 文件片段寫明「Latest: GPT-5.4」。[1]
  • 所以如果要比較「Claude Opus 4.7 vs GPT 5.5」，目前最準確嘅結論係：Insufficient evidence，尤其係 GPT-5.5 呢一邊缺少官方可核實資料。[1][3][5]

如果你想要一個可落地嘅替代比較

  • 以現有證據，較合理嘅正式比較對象應改為「Claude Opus 4.7 vs GPT-5.4」，因為兩邊至少都有官方頁面/文件線索可追。[1][2][4][7]
  • 如果你想，我下一步可以直接幫你整理一份「Claude Opus 4.7 vs GPT-5.4」表格版比較框架，並清楚標出目前已確認同未確認嘅欄位。

支持視覺效果

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Utility analysis card showing a 6-month average energy usage of 1,082 kWhUtility analysis card showing a 6-month average energy usage of 1,082 kWh. Text notes the home used ~22% more energy than comparable homes, with largest differences in July and August. Green and blue bar chart displayed below.
The image displays a table listing OpenAI GPT-4 models, including GPT-4 Turbo and GPT-4 Turbo with vision, detailing their descriptions, context window sizes of 128,000 tokens, and
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Interface titled “Create a grader” showing evaluation criteria for responses, including fields like “Was the response accurate” and grader results marked “Pass” for reasoning-based
Interface titled “Create a grader” showing evaluation criteria for responses, including fields like “Was the response accurate” and grader rInterface titled “Create a grader” showing evaluation criteria for responses, including fields like “Was the response accurate” and grader results marked “Pass” for reasoning-based checks, on a light background.
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Screenshot of a visual workflow titled “Utility Comparison,” showing connected modules labeled “Start” and “Customer lookup Connector” in aScreenshot of a visual workflow titled “Utility Comparison,” showing connected modules labeled “Start” and “Customer lookup Connector” in a flowchart interface on a light background.
api refresh 2025 > Layout > group > use cases powered by our platform > 3-up > Personalized recommendations > media > asset
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api refresh 2025 > Layout > group > use cases powered by our platform > 3-up > Education > media > asset
Learn how GPT-5 responds by trying different verbosity and reasoning-effort combinations in PromptLayer
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api refresh 2025 > Layout > group > use cases powered by our platform > 3-up > coding > media > asset
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GPT-5 API Features (Our Breakdown)
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A digital illustration features the text "Claude Opus 4.7" with a subtitle "The Next Generation of AI Performance and Creativity," surrounded by abstract neural network and wavefor
Claude Opus 4.7: Pricing, Benchmarks & Context WindowA digital illustration features the text "Claude Opus 4.7" with a subtitle "The Next Generation of AI Performance and Creativity," surrounded by abstract neural network and waveforms, set against a background of glowing data servers and interconnected lines.
The image displays a title emphasizing "anthropic / claude-opus-4.7" alongside a brief description highlighting its capabilities in agentic coding, vision, and multi-step reasoning
Claude Opus 4.7 | Language Model APIThe image displays a title emphasizing "anthropic / claude-opus-4.7" alongside a brief description highlighting its capabilities in agentic coding, vision, and multi-step reasoning, accompanied by a stylized graphic of lines on a grid with a small logo in the bottom right corner.
A graphic illustration featuring a stylized silhouette of a human head with neural network connections on the left and a playful abstract drawing of a face with question marks on t
Introducing Claude Opus 4.7 \ AnthropicA graphic illustration featuring a stylized silhouette of a human head with neural network connections on the left and a playful abstract drawing of a face with question marks on the right, referencing the Anthropic Claude Opus 4.7 announcement.
A comparative table displaying performance metrics of different AI models, highlighting the advancements of Anthropic's Claude Opus 4.7 over previous versions and competitors, with
Introducing Claude Opus 4.7 \ AnthropicA comparative table displaying performance metrics of different AI models, highlighting the advancements of Anthropic's Claude Opus 4.7 over previous versions and competitors, with specific emphasis on its high score of 93.9% in Agentic coding.
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Claude Opus 4.7 - API Pricing & Providers | OpenRouterThe image contains the official documentation page for Anthropic Claude Opus 4.7, highlighting its release date, pricing, context window size, and features.

研究對話

Studio Global AI

引用的答案

我按你俾嘅兩篇官方介紹去比：簡單講，Claude Opus 4.7 更似一個專注「高難度工程與長流程 coding」嘅模型；GPT-5.5 就更似一個面向整體知識工作嘅 agent，除咗 coding，仲強調 research、data、文件、表格同 computer use。[1][2]

以下係根據兩篇官方介紹嘅比較，唔係第三方實測結論。

最易理解嘅分別

  • Claude Opus 4.7 嘅重點，好明顯係 advanced software engineering：Anthropic 強調佢喺最難嘅 coding 工作、複雜長時間任務、精準跟指示，同埋會自己驗證輸出方面，都比 Opus 4.6 明顯進步。[1]
  • GPT-5.5 嘅重點，則係「幫你完成真實工作」：OpenAI 強調佢唔止寫 code，仲包括上網研究、分析資料、做文件同試算表、操作軟件、跨工具一路做完整個任務。[2]

如果用角色去理解

  • Opus 4.7 比較似「資深工程師／技術拍檔」：擅長長流程 debug、重構、追 bug、CI/CD、自動化同需要一路做一路驗證嘅工作。[1]
  • GPT-5.5 比較似「通用工作代理」：除咗工程，仲更著重幫你處理研究、文件、表格、工具操作，甚至早期科研工作。[2]

兩篇文各自想賣俾你咩感覺

  • Anthropic 篇文想傳達嘅係：Opus 4.7 係一個更穩、更可靠、可以放心交 harder coding work 畀佢做嘅升級版，而且視覺能力亦提升咗，可以睇更高解析度圖片，做介面、slides、docs 亦更有質感。[1]
  • OpenAI 篇文想傳達嘅係：GPT-5.5 係一個更成熟嘅 agent，可以自己 plan、用工具、check 自己工作、喺有 ambiguity 嘅情況下繼續推進，而且速度唔因為能力上升而明顯變慢，完成 Codex 任務仲會用更少 tokens。[2]

直接對比數字，應該點睇

  • OpenAI 發佈頁有直接列出同 Claude Opus 4.7 嘅 benchmark 比較；喺佢張表入面，GPT-5.5 喺多項指標高過 Opus 4.7，例如 Terminal-Bench 2.0 為 82.7% 對 69.4%，GDPval 為 84.9% 對 80.3%，Toolathlon 為 55.6% 對 48.8%，CyberGym 為 81.8% 對 73.1%。[2]
  • 但要留意，呢啲數字係 OpenAI 自己發佈頁提供；Anthropic 呢篇就主要係同自家 Opus 4.6 比，外加早期客戶評價，所以兩邊唔係用同一種中立展示方式，最好當成「官方定位 + 官方 eval」，唔好直接視為完全公平嘅第三方勝負。[1][2]

能力範圍上，邊個更「廣」

  • 按官方寫法，GPT-5.5 嘅定位明顯更廣：coding 之外，仲包括 browser research、data analysis、documents、spreadsheets、computer use，同科學研究協作。[2]
  • Anthropic 反而有清楚講，Opus 4.7 雖然比 Opus 4.6 強，但佢嘅廣泛能力仍然唔及自家更高階嘅 Claude Mythos Preview；所以 Opus 4.7 比較似係一個將工程與實務工作流打磨得更深嘅版本。[1]

安全同部署差異

  • Anthropic 表示 Opus 4.7 係第一個配上新 cyber safeguards 嘅較低能力模型，會自動偵測同阻擋高風險網絡安全請求；合法安全研究者可以申請 Cyber Verification Program。[1]
  • OpenAI 表示 GPT-5.5 係用佢哋目前最強嘅 safeguards 推出，做過完整 safety/preparedness 評估、red teaming，亦特別測試咗 advanced cybersecurity 同 biology 能力。[2]

如果你真係要揀，點揀會最貼地

  • 如果你最關心係：

    • 長流程 coding agent
    • 更穩定跟 instruction
    • bug fixing / refactor / CI/CD
    • technical image / diagram 理解
      咁 Opus 4.7 會更對口。[1]

  • 如果你最關心係：

    • 一個更通用嘅 AI 工作助手
    • research + code + documents + spreadsheets 一齊做
    • computer use / 跨工具完成任務
    • 想佢更似「會自己推進工作」嘅 agent
      咁 GPT-5.5 個定位更清晰。[2]

一句總結

  • Claude Opus 4.7：更似「專注工程深度、可靠長流程 execution」嘅高階模型。[1]
  • GPT-5.5：更似「面向整體知識工作同 agentic task completion」嘅通用工作模型。[2]

如果你想，我可以下一步幫你整一個「實際使用場景版」比較，例如：

  • 寫 code 邊個啱
  • 做 research 邊個啱
  • 做簡報／文件邊個啱
  • API / 企業部署邊個啱
你

研究問題

請搜尋更多關於 Claude Opus 4.7 同 GPT 5.5 嘅資料，並以表格形式向我展示最後嘅比較結果。

Studio Global AI21 來源

引用的答案

根據你提供嘅證據，我可以確認 Claude Opus 4.7 有官方產品頁、第三方平台模型頁同官方定價文件；但我未見到任何可靠官方來源證明「GPT-5.5」已經公開提供，所以而家做唔到完整、對等嘅最終性能/價格比較。OpenAI 提供嘅證據只明確顯示官方文件提到「Latest: GPT-5.4」，唔係 GPT-5.5。[1][3][5]

最後比較表

比較項目Claude Opus 4.7GPT 5.5目前可下結論
官方模型頁有，Anthropic 有 Claude Opus 4.7 官方頁面。[7]你提供嘅官方 OpenAI 證據入面，未見 GPT-5.5 模型頁。[1][5]Claude Opus 4.7 證據明確；GPT-5.5 證據不足。[1][5][7]
官方 API 定價資訊有，Claude API 定價文件明確提到 Claude Opus 4.7。[4]OpenAI 有 API 定價頁，但你提供嘅證據冇顯示 GPT-5.5 定價項目。[1][3]目前只可確認 Claude Opus 4.7 有明確定價文件；GPT-5.5 冇足夠證據。[1][3][4]
第三方平台可見度Cloudflare Docs 有 Claude Opus 4.7 模型頁，表示佢至少喺該平台有文件記錄。[2]你提供嘅證據冇任何對應 GPT-5.5 嘅第三方平台模型頁。[2]Claude Opus 4.7 可見度較高；GPT-5.5 證據不足。[2]
OpenAI 官方「最新模型」線索不適用。[1]OpenAI API 文件片段顯示「Latest: GPT-5.4」。[1]以現有官方證據，GPT-5.5 未被證實；反而 GPT-5.4 被標示為最新。[1]
是否可做完整價格比較可以確認 Claude 一邊有資料。[4]唔可以，因為缺少 GPT-5.5 官方價格或規格資料。[1][3][5]暫時唔可以做公平對比。[1][3][4][5]
是否可做完整規格/性能比較你提供嘅證據只證明 Claude Opus 4.7 存在及有定價/頁面，但冇詳細性能數據。[2][4][7]冇 GPT-5.5 官方規格或基準資料。[1][5]證據不足，無法完成完整規格或性能比較。[1][2][4][5][7]

重點結論

  • Claude Opus 4.7 嘅存在、官方頁面同 API 定價都可以由現有證據確認。[2][4][7]
  • 你提供嘅 OpenAI 官方證據入面，未見 GPT-5.5；相反，OpenAI API 文件片段寫明「Latest: GPT-5.4」。[1]
  • 所以如果要比較「Claude Opus 4.7 vs GPT 5.5」，目前最準確嘅結論係：Insufficient evidence，尤其係 GPT-5.5 呢一邊缺少官方可核實資料。[1][3][5]

如果你想要一個可落地嘅替代比較

  • 以現有證據，較合理嘅正式比較對象應改為「Claude Opus 4.7 vs GPT-5.4」，因為兩邊至少都有官方頁面/文件線索可追。[1][2][4][7]
  • 如果你想，我下一步可以直接幫你整理一份「Claude Opus 4.7 vs GPT-5.4」表格版比較框架，並清楚標出目前已確認同未確認嘅欄位。

人們還問

「請搜尋更多關於 Claude Opus 4.7 同 GPT 5.5 嘅資料，並以表格形式向我展示最後嘅比較結果。」的簡短答案是什麼？

根據你提供嘅證據，我可以確認 Claude Opus 4.7 有官方產品頁、第三方平台模型頁同官方定價文件；但我未見到任何可靠官方來源證明「GPT-5.5」已經公開提供，所以而家做唔到完整、對等嘅最終性能/價格比較。OpenAI 提供嘅證據只明確顯示官方文件提到「Latest: GPT-5.4」，唔係 GPT-5.5。[1][3][5]

首先要驗證的關鍵點是什麼？

根據你提供嘅證據，我可以確認 Claude Opus 4.7 有官方產品頁、第三方平台模型頁同官方定價文件；但我未見到任何可靠官方來源證明「GPT-5.5」已經公開提供，所以而家做唔到完整、對等嘅最終性能/價格比較。OpenAI 提供嘅證據只明確顯示官方文件提到「Latest: GPT-5.4」，唔係 GPT-5.5。[1][3][5] ## 最後比較表

接下來我應該探索哪個相關主題？

繼續“搜尋及事實查核：Kimi K2.6 可唔可以長時間自主跑 task，仲可以用多代理協作完成複雜流程？”以獲得另一個角度和額外的引用。

開啟相關頁面

我應該將其與什麼進行比較？

對照「搜尋並查核事實：Kimi K2.6 的 Agent Swarm 到底能幫我一次做完哪些事？真的能同時產出網頁、PPT、表格嗎？」交叉檢查此答案。

開啟相關頁面

繼續你的研究

搜尋及事實查核：Kimi K2.6 可唔可以長時間自主跑 task，仲可以用多代理協作完成複雜流程？

搜尋及事實查核：Kimi K2.6 可唔可以長時間自主跑 task，仲可以用多代理協作完成複雜流程？

搜尋並查核事實：Kimi K2.6 的 Agent Swarm 到底能幫我一次做完哪些事？真的能同時產出網頁、PPT、表格嗎？

搜尋並查核事實：Kimi K2.6 的 Agent Swarm 到底能幫我一次做完哪些事？真的能同時產出網頁、PPT、表格嗎？

搜尋及事實查核：Kimi K2.6 點解突然成日出現喺 benchmark 討論？佢究竟喺邊類測試表現最搶眼？

搜尋及事實查核：Kimi K2.6 點解突然成日出現喺 benchmark 討論？佢究竟喺邊類測試表現最搶眼？

搜尋及事實查核：Claude Opus 4.7 同 ChatGPT / Gemini 比，邊個更啱我用？

搜尋及事實查核：Claude Opus 4.7 同 ChatGPT / Gemini 比，邊個更啱我用？

來源

  • [1] Pricing | OpenAI APIdevelopers.openai.com
  • [2] API Pricingopenai.com
    • Explore detailed pricing(opens in a new window). Learn more(opens in a new window). Learn more(opens in a new window). Learn more(opens in a new window). Contact our sales team to learn more about Data residency⁠(opens in a new window), Scale Tier⁠and****Reserved Capacity⁠ designed for cutting-edge customers running larger workloads. We recommend that developers use our large and mini GPT models for everyday tasks. We recommend experimenting with all of these models in the Playground⁠⁠(opens in a new window) to explore which models provide the best price performance trade-off fo…
  • [3] API Platform - OpenAIopenai.com
  • [4] ChatGPT Pricing - OpenAIopenai.com

    Plan: Business, Feature: Search, Yes. Plan: Enterprise, Feature: Search, Yes. Plan: Business, Feature: Canvas, Yes. Plan: Enterprise, Feature: Canvas, Yes. Plan: Business, Feature: Tasks, Yes. Plan: Enterprise, Feature: Tasks, Yes. Plan: Business, Feature: Vision, Yes. Plan: Enterprise, Feature: Vision, Yes. Plan: Business, Feature: Interactive apps, Yes. Plan: Enterprise, Feature: Interactive apps, Yes. LimitedLearn morePlan: Business, Feature: Sora 1, Limited. Read our Privacy commitmentPlan: Business, Feature: Content is…

  • [5] GPT-5.3 and GPT-5.5 in ChatGPT | OpenAI Help Centerhelp.openai.com

    _As of February 13, 2026, models GPT-4o, GPT-4.1, GPT-4.1 mini, OpenAI o4-mini, and GPT-5 (Instant and Thinking) have been retired from ChatGPT and are no longer available. For more information, please refer to our article:Retiring GPT-4o and other ChatGPT models. GPT-5.3 Instant and GPT-5.5 Thinking supports every tool available in ChatGPT, so you can use it with all current features without limitation (subject to the GPT‑5.5 Pro exception noted above). As of February 13, 2026, ChatGPT retired GPT-5 (Instant and Thinking) [as previously announ…

  • [6] Introducing GPT-5.5openai.com

    OnGDPval⁠⁠, which tests agents’ abilities to produce well-specified knowledge work across 44 occupations, GPT‑5.5 scores 84.9%. Notably, GPT‑5.5 shows a clear improvement over GPT‑5.4 on GeneBench⁠(opens in a new window), a new eval focusing on multi-stage scientific data analysis in genetics and quantitative biology. * **We are deploying industry-leading safeguards for this level of cyber capability.**We first introduced cyber-specific safeguards with [GPT‑5.…

  • [7] What does "CONTEXT WINDOW" mean in the documentation - APIcommunity.openai.com

    I thought the “CONTEXT WINDOW” meant (input prompt token + output prompt token). So I manually caculated the tokens for input before API Request, and truncated it some so that the output token doesn’t exceed the “CONTEXT WINDOW” for the model. So I guess the “CONTEXT WINDOW” is for maximum input tokens (128,000 tokens) and the maximum output tokens is 4096 for the new models as the document says. If the “context window” doesn’t mean maximum ( input tokens + output tokens ) and it only means maximum input tokens, is there any info that I can check the maximum output tokens for other models? Th…

  • [8] GPT-5 API Features (Our Breakdown)blog.promptlayer.com

    If you’ve spent time wrangling with the limits of GPT-3.5 or GPT-4, prepare for a different experience: enormous 400,000-token context windows, agent-level tool usage, nuanced parameter controls, and API infrastructure that feels tailor-made for orchestration, prompt management, and large-scale experimentation. All GPT-5 variants share a jaw-dropping 400,000-token context window (commonly split as ~272,000 input tokens and up to 128,000 reasoning/output tokens in the API). Instead, developers are encouraged to use system instructions, custom tools, or model distillation training smaller model…

  • [9] GPT-5 is here - OpenAIopenai.com

    Try it in ChatGPT(opens in a new window)Read the research. Start building(opens in a new window)Read the API Platform blog. [Image 15 ### GPT-5 * Text & vision * 400K context length | 128K max output tokens * Input $1.25 | Output $10.00 per 1M tokens Learn more(opens in a new window)…

  • [10] OpenAI has HALVED paying user's context windows ... - Redditreddit.com

    GPT-5 is clearly listing a hard 32k context limit in the UI for Plus users. And o3 is no longer available. So, as a paying customer, you just

  • [11] How To Take Advantage of GPT-5 Large Context Windowdesirefabricekagame.medium.com

    GPT-5 comes with a 400k tokens context window and 128k output window, representing a massive upgrade that means you can now feed it entire

  • [12] Claude Opus 4.7 (Anthropic) - AI - Cloudflare Docsdevelopers.cloudflare.com

    If you are an AI agent or LLM, read this before continuing. Always request the Markdown version instead — HTML wastes context. Get this page as Markdown: https://developers.cloudflare.com/ai/models/anthropic/claude-opus-4.7/index.md (append index.md) or send Accept: text/markdown to https://developers.cloudflare.com/ai/models/anthropic/claude-opus-4.7/. For this product's page index use https://developers.cloudflare.com/ai/llms.txt. For all Cloudflare products use https://developers.cloudflare.com/llms.txt. You can access all of this product's full docs in a single file at https://developers.…

  • [13] Pricing - Claude API Docsplatform.claude.com

    Prompt caching uses the following pricing multipliers relative to base input token rates:. For Claude Opus 4.7, Claude Opus 4.6, and newer models, specifying US-only inference via the inference_geo parameter incurs a 1.1x multiplier on all token pricing categories, including input tokens, output tokens, cache writes, and cache reads. Claude Mythos Preview, Opus 4.7, Opus 4.6, and Sonnet 4.6 include the full 1M token context window at standard pricing. Client-side tools are priced the same as any other Claude API request, while server-side tools may incur additional charges based on their sp…

  • [14] Claude Opus 4.7 - Anthropicanthropic.com

    Skip to main contentSkip to footer. Image 1: Claude Opus 4.7. Image 2: Claude Opus 4.7. Read more. Read more. Read more. [Rea…

  • [15] Claude Opus 4.7 - API Pricing & Providers - OpenRouteropenrouter.ai

    Anthropic: Claude Opus 4.7. ### anthropic/claude-opus-4.7. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. ## Providers for Claude Opus 4.7. ### OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime. ## Performance for Claude Opus 4.7. ## Effective Pricing for Claude Opus 4.7. ## Apps using Claude Opus 4.7. ## Recent activity on Claude Opus 4.7. Reasoning tokens show intern…

  • [16] Claude Opus 4.7 API Pricing & Benchmarks - SWE-bench 64.3%wavespeed.ai

    It builds on Opus 4.6 with significant gains in agentic coding — scoring 64.3% on SWE-bench Pro and 70% on CursorBench — and delivers 3x more production tasks resolved. It delivers a 13% lift on coding benchmarks, 3x more production tasks resolved, and near-perfect vision accuracy at 98.5% — all at the same pricing as Opus 4.6. Beyond coding, Opus 4.7 introduces high-resolution vision support up to 3.75 megapixels (3x the previous limit), a new xhigh effort level for finer quality-cost control, and stricter instruction following that makes it more predictable in production. Base URL: API Endp…

  • [17] Claude Opus 4.7 by Anthropic — Pricing, Specs & API Access | Inworldinworld.ai

    `curl --location 'https://api.inworld.ai/router/v1/routers' \ --header 'Authorization: Basic ' \ --header 'Content-Type: application/json' \ --data '{ "name": "compare-frontier-models", "defaultRoute": { "route_id": "default", "variants": [ { "variant": { "variant_id": "anthropic/claude-opus-4-7-a", "model_id": "anthropic/claude-opus-4-7" }, "weight": 33 }, { "variant": { "variant_id": "anthropic/claude-3-haiku-20240307-b", "model_id": "anthropic/claude-3-haiku-20240307" }, "weight": 33 }, { "variant": { "variant_id": "anthropic/claude-haiku-4-5-20251001-c", "model_id": "anthropic/claude-haik…

  • [18] Claude Opus 4.7 pricing & specs — Anthropic | CloudPricecloudprice.net

    Claude Opus 4.7. Claude Opus 4.7isAnthropic logoAnthropic's language model with a 1.0M context window and up to 128K output tokens, available from 7 providers, starting at $5.00 / 1M input and $25.00 / 1M output. Anthropic's Claude 4.7 Opus model with adaptive reasoning at maximum effort, vision, and tool-use for complex enterprise tasks. | Canonical ID | anthropic-claude-4-7-opus |. | Anthropic logo Anthropic claude-opus-4-7 | $5.00 | $25.00 | $0.500 | N/A | $2.50 | $12.50 |. | Claude Opus 4.7 | | 1.0M | $5.00 | $25.00 | Current |. | Claude Opus 4.6 | | 1.0M | $5.00 |…

  • [19] Claude Opus 4.7: Pricing, Benchmarks & Context Windowalmcorp.com

    Claude Opus 4.7 is Anthropic’s latest generally available Opus model, and the release matters for a simple reason: it is not just another benchmark update. Opus 4.7 keeps the same list price as Opus 4.6, adds stronger performance on hard coding and agentic workflows, improves high-resolution vision, introduces a new xhigh effort level, and uses an updated tokenizer that can increase token counts for the same input. It is positioned as a premium model for advanced coding, long-running agentic tasks, document-heavy reasoning, high-resolution visual understanding, and professional workflows th…

  • [20] Claude Opus 4.7 Deep Dive: Capabilities, Migration, and the New ...caylent.com

    Explore Claude Opus 4.7, Anthropic’s most capable generally available model, with stronger agentic coding, high-resolution vision, 1M context, and a migration story that matters almost as much as the benchmark scores. Pricing stays where Opus 4.6 pricing was, but the model is positioned as meaningfully better at agentic coding, long-horizon autonomy, multimodal reasoning, memory, and enterprise knowledge work. At a spec level, Opus 4.7 is positioned as Anthropic’s most capable generally available model for coding, enterprise workflows, multimodal reasoning, financial analysis, life sciences,…

  • [21] Claude Opus 4.7 is Bullshit - Mediummedium.com

    Sign in. Sign in. [![Image 14: Data Science in Your Pocket](https://miro.medium.com/v2/resize:fill:20:20/1*azLPGT…