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DesignArena ranks Ling-3.2-flash tenth on Image to Frontend Arena

AIDesignArena says Ant Ling's Ling-3.2-flash ranks #10 on its Image to Frontend Arena with an Elo of 1238. The model costs $0.30 per 1M input tokens and $0.90 per 1M output tokens, which DesignArena calls the cheapest for its performance level.
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BREAKING: Ling-3.2-flash by @AntLingAGI lands at #10 on Image to Frontend Arena with an Elo of 1238! This model also establishes a new Pareto frontier for Preference vs Price at $0.30 input / $0.90 output per 1M tokens, the cheapest for any model at this performance.

It most often wins on its Portfolio and Corporate builds where it wins around 63% and 60% of its tournaments respectively. This also places Ling-3.2-flash among leading models from @AIatMeta, @AnthropicAI, and @deepseek_ai.

Congrats to the @AntLingAGI team on a Top-10 placement on DesignArena!

Ant Ling@AntLingAGI
Introducing Ling-3.2-flash, Ant Ling's native multimodal model: 560B total / 25B active parameters. Stronger complex visual understanding, long-horizon multimodal agents, 3D understanding & interaction, and medical intelligence. Outscores Opus 5 (max) in release evaluations: - OmniDocBench1.5: 92.21 vs 90.56 - ZEROBench(Sub): 43.71 vs 39.52 - Vision2Web: 85.86 vs 80.20
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Original title: BREAKING: Ling-3.2-flash by @AntLingAGI lands at #10 on Image to Frontend Arena with an Elo of 1238! This model also establishes a new Pa...

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AI codingMultimodal AIChina AIEvals & benchmarks