AntLingAGI's Ling-3.2-flash has placed 10th on the Image to Frontend Arena with an Elo rating of 1238, and it sets a new price-performance benchmark, priced at $0.30 per million input tokens and $0.90 per million output tokens.
AntLingAGI · Image to Frontend Arena
Ling-3.2-flash ranks 10th on an image-to-frontend leaderboard at a low price point
The model posts an Elo rating of 1238 on the arena and is positioned as a cost-efficient option for turning design images into frontend code.
10th
Rank on the Image to Frontend Arena
1238
Elo rating on the arena
$0.30
Per million input tokens
$0.90
Per million output tokens
Price per million tokens, drawn to scale
Each block = $0.30 per million tokens. Input is 1 block; output is 3 blocks.
Output tokens cost three times as much as input tokens for this model.
The core claim
The announcement points to cost efficiency, not an absolute lead.
Single source
Ranking and pricing come from the leaderboard operator and lack independent verification so far.
One benchmark
An Elo score reflects this arena's tasks and prompts, and may not transfer to other workloads.
Missing details
Architecture, training data, context window and latency were not included in the available information.
What supports the case
Holds a top-10 position on a visual-to-code arena.
Pricing is described as the lowest at this performance level.
Could suit high-volume design-to-code pipelines.
What remains open
Whether the ranking holds as more models join the arena.
Whether pricing holds for production usage.
How it performs on tasks beyond this single benchmark.
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