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Kling 2.1

A state-of-the-art AI video generator that transforms text or image prompts into high-resolution, action-packed footage.
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Kling 2.1

Advanced AI video-generation model that turns text or image prompts into high-definition, motion-rich clips.

Kling 2.1 Description

Kuaishou’s Kling 2.1 is an advanced AI video-generation model that turns text or image prompts into high-definition, motion-rich clips. Building on the 2.0 release, it adds sharper physics, quicker renders, and tiered quality modes that balance cost and fidelity.

Technical Specification

Performance Benchmarks

Kling 2.1 is tuned for realistic motion, character consistency, and prompt adherence.

  • Output Resolution: 720p (Standard) or 1080p (Pro/Master).
  • Clip Duration: 5 s or 10 s natively; longer sequences via stitching.
  • Generation Speed: 5s 1080p clip on cloud GPUs; faster in Standard mode.
  • Physics Module: 3D spatio-temporal joint attention for smoother object trajectories.
  • Benchmark Rank: #2 on Artificial Analysis ELO leaderboard (1,332) behind Seedance-1.
  • API Pricing:
    • $0.294 per second

Performance Metrics

Kling 2.1 tied Google’s Veo 3 for the #1 slot on the June 2025 Generative Video Benchmark with a composite 93.5/100; in 4,800 blind A/B votes, 61% of users preferred its motion realism and prompt adherence, and its 1080p “HQ” tier costs roughly 0.4 ¢ per frame—about one-third of Veo’s price—leaving only minor blur in very crowded scenes as its main caveat.

Key Capabilities

Kling 2.1 delivers precise outputs for creative and commercial video workflows.

  • Hyper-Realistic Motion: Enhanced 3D physics yields fluid character movement and camera dynamics.
  • Multi-Image Referencing: Upload several reference frames to lock-in style and maintain subject identity across scenes.
  • Motion Brush & Camera Tools: Text commands (“pan-down”, “dolly-zoom”) or brush strokes to dictate object paths and shot types.
  • Consistent Characters: Improved facial tracking and body-pose coherence, even with complex stunts.
  • Flexible Inputs: Supports text-to-video (T2V) and image-to-video (I2V) pipelines in every tier.
  • Cost Control: Swap between Standard, Pro, and Master modes without changing prompts, optimizing quality vs. spend.
  • Sound Layer (beta): Release-note builds add auto sound-effects and basic lip-sync; full audio still recommended externally.

Code Samples

Text-to-Video Generation

Image-to-Video Generation

Comparison with Other Models

  • Vs. Google Veo 3: Ranked higher on the Artificial Analysis benchmark (#2 vs #3), with users noting Kling 2.1 delivers more fluid motion and sharper physics, while Veo excels at native 4K resolution and integrated audio.
  • Vs. Hailuo 02: Provides comparable 1080p quality at a lower average generation time (≈30 s vs 30-300 s) and adds cost-saving tiered quality modes; Hailuo 02, however, offers richer cinematic lighting and a broader director-control toolkit.

API Integration

Accessible via AI/ML API. Documentation:

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