{"id":4577,"date":"2025-12-24T19:37:38","date_gmt":"2025-12-24T11:37:38","guid":{"rendered":"https:\/\/imastudio.com\/?page_id=4577"},"modified":"2025-12-24T19:37:39","modified_gmt":"2025-12-24T11:37:39","slug":"sora-vs-kling","status":"publish","type":"page","link":"https:\/\/imastudio.com\/pt\/arena\/sora-vs-kling","title":{"rendered":"Sora-2-Pro vs Kling-v2-5-Turbo"},"content":{"rendered":"
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\n\t\t\t\t\tLast updated:dezembro 24, 2025<\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Sora-2-Pro vs Kling-v2-5-Turbo<\/h1>\t\t\t\t<\/div>\n\t\t\t\t
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Overall Winner\u00a0<\/strong>
Sora-2-Pro leads on Total Score: 74.63% vs 73.20% (+1.43pp).<\/p>

Best for Control, Creativity & Multi-View<\/strong>
Kling-v2-5-Turbo performs better for controllability and creative direction, and is much stronger on multi-view stability: Controllability +7.30pp, Creativity +6.66pp, Multi-View Consistency +36.43pp.<\/p>

Best for Human Realism & Identity Consistency<\/strong>
Sora-2-Pro performs better for realistic humans and keeping the same character consistent across shots: Human Fidelity +16.30pp, Human Identity +33.91pp, Human Anatomy +14.97pp.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tTry Models<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tView Leaderboard<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Score Snapshot<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Based on the latest VBench-IBench results, summarized by overall score and core dimensions.<\/p>\t\t\t\t<\/div>\n\t\t

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Metric<\/th>\n Sora-2-Pro<\/th>\n Kling-v2-5-Turbo<\/th>\n Winner<\/th>\n <\/tr>\n <\/thead>\n\n
Total Score<\/td>\n 74.63%<\/td>\n 73.20%<\/td>\n \n \n <\/span> Sora (+1.43pp)\n <\/span>\n <\/td>\n <\/tr>\n\n
Creativity<\/td>\n 77.41%<\/td>\n 84.07%<\/td>\n \n \n <\/span> Kling (+6.66pp)\n <\/span>\n <\/td>\n <\/tr>\n\n
Commonsense<\/td>\n 88.89%<\/td>\n 83.33%<\/td>\n \n \n <\/span> Sora (+5.56pp)\n <\/span>\n <\/td>\n <\/tr>\n\n
Controllability<\/td>\n 58.41%<\/td>\n 65.71%<\/td>\n \n \n <\/span> Kling (+7.30pp)\n <\/span>\n <\/td>\n <\/tr>\n\n
Human Fidelity<\/td>\n 87.87%<\/td>\n 71.57%<\/td>\n \n \n <\/span> Sora (+16.30pp)\n <\/span>\n <\/td>\n <\/tr>\n\n
Physics<\/td>\n 60.56%<\/td>\n 61.33%<\/td>\n \n \n <\/span> Kling (+0.77pp)\n <\/span>\n <\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/section>\n\t\t
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Score Breakdown<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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The biggest score gaps, broken down by fine-grained metrics \u2014 so you can see where the difference comes from.<\/p>\t\t\t\t<\/div>\n\t\t

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Fine-grained Metric<\/th>\n Sora-2-Pro<\/th>\n Kling-v2-5-Turbo<\/th>\n \u0394 (pp)<\/th>\n What it means<\/th>\n <\/tr>\n <\/thead>\n\n
Multi-View Consistency<\/b><\/td>\n 20.00%<\/td>\n 56.43%<\/b><\/td>\n +36.43<\/span><\/td>\n Consistency across multiple angles \/ camera views<\/td>\n <\/tr>\n\n
Human Identity<\/b><\/td>\n 74.51%<\/b><\/td>\n 40.60%<\/td>\n +33.91 (Sora)<\/span><\/td>\n Whether the same person looks consistent<\/td>\n <\/tr>\n\n
Material<\/b><\/td>\n 77.78%<\/b><\/td>\n 44.44%<\/td>\n +33.34 (Sora)<\/span><\/td>\n Realism of materials (fabric \/ metal \/ glass)<\/td>\n <\/tr>\n\n
Dynamic Attribute<\/b><\/td>\n 55.56%<\/td>\n 88.89%<\/b><\/td>\n +33.33<\/span><\/td>\n Changes in motion attributes (pose \/ expression)<\/td>\n <\/tr>\n\n
Complex Plot<\/b><\/td>\n 68.89%<\/b><\/td>\n 37.78%<\/td>\n +31.11 (Sora)<\/span><\/td>\n Narrative coherence in complex scenes<\/td>\n <\/tr>\n\n
Motion Order Understanding<\/b><\/td>\n 77.78%<\/td>\n 100.00%<\/b><\/td>\n +22.22<\/span><\/td>\n Following step-by-step motion order<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n<\/div>\n\n

\n * \u0394(pp) is the percentage-point difference. The label (Sora\/Kling) indicates the leading model.\n<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/section>\n\t\t

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Where Each Model Wins<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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A quick interpretation of the benchmark \u2014 what each model is better suited for in real projects.<\/p>\t\t\t\t<\/div>\n\t\t

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Best for<\/h3>\n Sora-2-Pro<\/span>\n <\/div>\n
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  • \n More realistic humans and close-ups\n Human Fidelity +16.30pp<\/span>\n <\/li>\n
  • \n Stronger character identity consistency across shots\n Human Identity +33.91pp<\/span>\n <\/li>\n
  • \n Fewer anatomy glitches (hands\/face\/proportions)\n Human Anatomy +14.97pp<\/span>\n <\/li>\n
  • \n More coherent narrative in complex multi-shot scenes\n Complex Plot +31.11pp<\/span>\n <\/li>\n
  • \n More physically plausible motion with fewer \u201cweird moves\u201d\n Motion Rationality +22.22pp<\/span>\n <\/li>\n <\/ul>\n <\/div>\n <\/div>\n\n \n
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    Best for<\/h3>\n Kling-v2-5-Turbo<\/span>\n <\/div>\n
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    • \n More creative, stylized cinematography\n Creativity +6.66pp<\/span>\n <\/li>\n
    • \n Better instruction-following and controllable shots\n Controllability +7.30pp<\/span>\n <\/li>\n
    • \n Strong multi-angle consistency for the same subject\n Multi-View +36.43pp<\/span>\n <\/li>\n
    • \n More reliable step-by-step action ordering\n Motion Order 100%<\/span>\n <\/li>\n
    • \n More stable mechanical \/ engineering motion\n Mechanics +22.22pp<\/span>\n <\/li>\n <\/ul>\n <\/div>\n <\/div>\n\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/section>\n\t\t
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      Use-Case Selector<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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      Pick your goal \u2014 we recommend the best model based on the benchmark strengths.<\/p>\t\t\t\t<\/div>\n\t\t

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      1) Realistic humans \/ consistent main character<\/h3>\n <\/div>\n
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      \n Recommended<\/span>\n Sora-2-Pro<\/span>\n <\/div>\n

      Stronger results for human realism, identity consistency, and anatomy stability \u2014 ideal for close-ups and recurring characters.<\/p>\n

      \n Human Fidelity +16.30pp<\/span>\n Human Identity +33.91pp<\/span>\n Human Anatomy +14.97pp<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n
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      2) Creative ads \/ stylized cinematography<\/h3>\n <\/div>\n
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      \n Recommended<\/span>\n Kling-v2-5-Turbo<\/span>\n <\/div>\n

      Higher creativity score, better suited for bold art direction and stylized, attention-grabbing shots.<\/p>\n

      \n Creativity +6.66pp<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n
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      3) Strict control \/ step-by-step instructions<\/h3>\n <\/div>\n
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      \n Recommended<\/span>\n Kling-v2-5-Turbo<\/span>\n <\/div>\n

      Better controllability and stronger action-order understanding \u2014 great when you need precise instruction-following.<\/p>\n

      \n Controllability +7.30pp<\/span>\n Motion Order 100%<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n
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      4) Complex story \/ multi-shot narrative<\/h3>\n <\/div>\n
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      \n Recommended<\/span>\n Sora-2-Pro<\/span>\n <\/div>\n

      Stronger commonsense and complex plot handling \u2014 better for coherent storytelling across multiple shots.<\/p>\n

      \n Commonsense +5.56pp<\/span>\n Complex Plot +31.11pp<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n
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      5) Multi-angle showcase (same subject, different views)<\/h3>\n <\/div>\n
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      \n Recommended<\/span>\n Kling-v2-5-Turbo<\/span>\n <\/div>\n

      Large lead in multi-view consistency \u2014 best for switching camera angles while keeping the subject consistent.<\/p>\n

      \n Multi-View +36.43pp<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n
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      6) Fewer glitches \/ more plausible motion<\/h3>\n <\/div>\n
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      \n Recommended<\/span>\n Sora-2-Pro<\/span>\n <\/div>\n

      Higher motion rationality \u2014 more stable physical behavior with fewer unnatural artifacts.<\/p>\n

      \n Motion Rationality +22.22pp<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/section>\n\t\t
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      FAQ<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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      Quick answers to the most common questions about this comparison and the benchmark setup.<\/p>\t\t\t\t<\/div>\n\t\t

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