DeepSeek V4 Pro 喺競技編程領域稱霸,Codeforces ELO 高達 3206 分,但價錢只係其他模型嘅一小部分,絕對係編程比賽嘅黑馬。
Research benchmarks for Claude Opus 4.8, Claude Opus 4.7, GPT-5.5, Gemini 3.5 Flash, Grok 4.3, DeepSeek V4AI-generated editorial hero image for Research benchmarks for Claude Opus 4.8, Claude Opus 4.7, GPT-5.5, Gemini 3.5 Flash, Grok 4.3, DeepSeek V4. Compare them as comprehensively.
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Create a landscape editorial hero image for this Studio Global article: Research benchmarks for Claude Opus 4.8, Claude Opus 4.7, GPT-5.5, Gemini 3.5 Flash, Grok 4.3, DeepSeek V4. Compare them as comprehensively. Article summary: ### Which model leads what?. Topic tags: deepresearch, general web, user generated, documentation, education. Reference image context from search candidates: Reference image 1: visual subject "# Deep|DeepSeek V4 vs Claude vs GPT-5.4: A 38-Task Benchmark Across Coding, Reasoning, and Financial Research. * **Claude Opus 4.6 (Thinking) and Claude Opus 4.7 tie for #1 overall" source context "Deep|DeepSeek V4 vs Claude vs GPT-5.4: A 38-Task Benchmark ..." Reference image 2: visual subject "# April 2026 AI Model Releases: GPT-5.5, Claude Opus 4.7, DeepSeek V4 + 6 More. GPT-5.5, Claude Opus 4.7, DeepSeek V4, Gemma 4, Nemotron 3 — April 2026 nine model releases compared
DeepSeek V4 Pro 喺競技編程領域稱霸,Codeforces ELO 高達 3206 分,但價錢只係其他模型嘅一小部分,絕對係編程比賽嘅黑馬。
Research benchmarks for Claude Opus 4.8, Claude Opus 4.7, GPT-5.5, Gemini 3.5 Flash, Grok 4.3, DeepSeek V4AI-generated editorial hero image for Research benchmarks for Claude Opus 4.8, Claude Opus 4.7, GPT-5.5, Gemini 3.5 Flash, Grok 4.3, DeepSeek V4. Compare them as comprehensively.
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Create a landscape editorial hero image for this Studio Global article: Research benchmarks for Claude Opus 4.8, Claude Opus 4.7, GPT-5.5, Gemini 3.5 Flash, Grok 4.3, DeepSeek V4. Compare them as comprehensively. Article summary: ### Which model leads what?. Topic tags: deepresearch, general web, user generated, documentation, education. Reference image context from search candidates: Reference image 1: visual subject "# Deep|DeepSeek V4 vs Claude vs GPT-5.4: A 38-Task Benchmark Across Coding, Reasoning, and Financial Research. * **Claude Opus 4.6 (Thinking) and Claude Opus 4.7 tie for #1 overall" source context "Deep|DeepSeek V4 vs Claude vs GPT-5.4: A 38-Task Benchmark ..." Reference image 2: visual subject "# April 2026 AI Model Releases: GPT-5.5, Claude Opus 4.7, DeepSeek V4 + 6 More. GPT-5.5, Claude Opus 4.7, DeepSeek V4, Gemma 4, Nemotron 3 — April 2026 nine model releases compared
啱啱5月28號先出世嘅 Claude Opus 4.8,一出場就氣勢如虹。佢喺 自主編程(SWE-Bench Pro,69.2%)、知識工作(GDPval-AA,1890 Elo)、電腦操作(OSWorld,83.4%)、跨學科推理(Humanity's Last Exam) 同埋 財務分析 呢啲高難度項目都係第一名 。喺一個綜合評分榜上更加係排全場第二,攞到93/100分,實力非同小可 。
DeepSeek V4 Pro 擺明係要嚟「挑機」嘅。佢喺競技編程方面嘅實力令人震驚,Codeforces ELO 高達 3206,LiveCodeBench 有 93.5%,全部都係第一名 。雖然喺一啲複雜嘅自主代理任務上稍為落後,但考慮到佢嘅價錢只係其他模型嘅「零頭」,對於編程高手同開發者嚟講,性價比極高。
🔧 Grok 4.3:穩打穩紮嘅中游分子
xAI 嘅 Grok 4.3 表現中規中矩,喺 AA Index 有53分,GPQA 有90.1%,速度唔錯(159–207 tps),價錢都相當有競爭力。佢喺法律同金融呢啲專業領域嘅跑分特別標青,但喺大部分自主代理測試中都落後於前面幾位大佬 。
📉 Claude Opus 4.7:光榮退場嘅上一代
作為 Claude Opus 4.8 嘅「上手」,Opus 4.7 喺 SWE-bench Verified (87.6%) 仍然好打得,但已經俾自己嘅「接班人」全面超越。科技界就係咁殘酷,不進則退 。
溫馨提示:睇跑分嘅重要陷阱
睇呢啲比較嘅時候,有幾點你一定要記住:
數據來源各有不同:呢啲分數嚟自唔同廠商同獨立測試機構,佢哋用嘅測試工具(harness)同方法可以好唔同。所以同一個測試,唔同來源嘅分數可能會有出入(例如,GPT-5.5 嘅 Terminal-Bench 分數,喺 Google 份報告係 78.2%,但 OpenAI 自己就話有 82.7%)。
啱啱5月28號先出世嘅 Claude Opus 4.8,一出場就氣勢如虹。佢喺 自主編程(SWE-Bench Pro,69.2%)、知識工作(GDPval-AA,1890 Elo)、電腦操作(OSWorld,83.4%)、跨學科推理(Humanity's Last Exam) 同埋 財務分析 呢啲高難度項目都係第一名 。喺一個綜合評分榜上更加係排全場第二,攞到93/100分,實力非同小可 。
DeepSeek V4 Pro 擺明係要嚟「挑機」嘅。佢喺競技編程方面嘅實力令人震驚,Codeforces ELO 高達 3206,LiveCodeBench 有 93.5%,全部都係第一名 。雖然喺一啲複雜嘅自主代理任務上稍為落後,但考慮到佢嘅價錢只係其他模型嘅「零頭」,對於編程高手同開發者嚟講,性價比極高。
🔧 Grok 4.3:穩打穩紮嘅中游分子
xAI 嘅 Grok 4.3 表現中規中矩,喺 AA Index 有53分,GPQA 有90.1%,速度唔錯(159–207 tps),價錢都相當有競爭力。佢喺法律同金融呢啲專業領域嘅跑分特別標青,但喺大部分自主代理測試中都落後於前面幾位大佬 。
📉 Claude Opus 4.7:光榮退場嘅上一代
作為 Claude Opus 4.8 嘅「上手」,Opus 4.7 喺 SWE-bench Verified (87.6%) 仍然好打得,但已經俾自己嘅「接班人」全面超越。科技界就係咁殘酷,不進則退 。
溫馨提示:睇跑分嘅重要陷阱
睇呢啲比較嘅時候,有幾點你一定要記住:
數據來源各有不同:呢啲分數嚟自唔同廠商同獨立測試機構,佢哋用嘅測試工具(harness)同方法可以好唔同。所以同一個測試,唔同來源嘅分數可能會有出入(例如,GPT-5.5 嘅 Terminal-Bench 分數,喺 Google 份報告係 78.2%,但 OpenAI 自己就話有 82.7%)。