Agnes AI enters global top 10 AI lab rankings

- Agnes AI delivers globally-ranked agentic and image AI performance

- Offers cost-efficient AI access for emerging markets

- Supports national push to upskill tech professionals

Agnes AI, a Singapore-headquartered AI model company that has built and trained its own multimodal foundation models entirely in-house, is now a top-10 lead across three independent AI benchmark rankings. 

The company said its proprietary models have entered the global top 10 AI labs ranks. The latest rankings on Claw-Eval and Artificial Analysis follow a top-10 AI labs placement on PinchBench, a globally-recognised agentic model evaluation benchmark. According to the company, it is the first Singapore-born AI model company to enter the global top 10 across these international AI lab rankings.

Agnes AI noted the benchmark results also provide independent validation that a Singapore-born AI lab can compete on the same global leaderboards as the world’s most-recognised AI companies. “Singapore’s National AI Strategy 2.0 set out a clear ambition: that Singapore should be a builder of AI, not merely an adopter of it,” said Alex Ang, Co-Founder of Agnes AI.

“These benchmark results are evidence that this ambition is being realised. Agnes AI was built here, trained here, and is now recognised among the world’s top 10 AI labs, competing on equal terms with some of the largest AI companies globally. Our goal has always been to build AI that is globally competitive, openly accessible, and independent of any single power or ecosystem. We are just getting started.” 

Agnes AI’s latest benchmark results span both agentic text models and image models. On Claw-Eval, Agnes-2.0-Flash ranked among the global top 10 AI labs for agentic model performance. Claw-Eval evaluates agentic AI systems that power autonomous agents capable of executing multistep tasks, reasoning across complex workflows, and taking action in real-world environments. The benchmark assesses reliability, execution quality, and practical performance beyond controlled lab conditions. 

On Artificial Analysis, Agnes-Image-2.0-Flash ranked among the global top 10 AI labs for image editing performance. Artificial Analysis independently evaluates model performance across a wide field of global AI labs, with image evaluations conducted through blind review by independent evaluators. Agnes-Image-2.0-Flash is also ranked No. 1 for price among the selected models, reinforcing Agnes AI’s position as one of the most cost-efficient frontier image AI options available to developers and enterprises. 

These results follow Agnes AI’s earlier top 10 entry on PinchBench, making Claw-Eval and Artificial Analysis its second and third consecutive global top 10 benchmark entries. 

Agnes AI has a model-first approach to agentic intelligence, supported by proprietary system-level innovations including Reinforcement Learning from Agentic Feedback (RLAF), Dynamic-filter Sequence-level Policy Optimisation (DSPO), and Universal Verifier (UV), which are designed to models’ ability to self-correct, reason over longer horizons, and perform complex tasks. 

Beyond benchmark performance, Agnes AI is positioning itself around accessibility and affordability, with a particular focus on cost-efficient AI deployment for developers, enterprises, and emerging markets that may otherwise be priced out of frontier AI capabilities. 

According to the company, Agnes-2.0-Flash costs approximately half the output price of comparable models such as DeepSeek-V4 Flash, while delivering top 10 global agentic performance on Claw-Eval.  

Agnes-Image-2.0-Flash is also the No. 1 model for price among the selected image editing models on Artificial Analysis, while also ranking in the global top 10 for image editing performance. At US$3 per 1,000 images, Agnes-Image-2.0-Flash is significantly below the market average of approximately US$30.00 per 1,000 images, Agnes AI said.  

“Top-tier AI performance should not require top-tier pricing,” said Bruce Yang, CEO of Agnes AI. 

“For developers, enterprises, and emerging markets running high-frequency AI workloads, cost matters. Our focus is to make globally-competitive AI accessible, scalable, and practical for real-world deployment.” 

As global competition intensifies around sovereign AI and AI infrastructure, Agnes AI is positioning itself as a neutral, independent alternative in an increasingly fragmented landscape.

“AI is already being deployed at a national level,” said Yang. “We see ourselves as neutral infrastructure, similar to Switzerland during the Cold War, enabling access without alignment to any single power.”

Agnes AI’s model suite spans agentic text models, image generation and editing models, and video generation capabilities, supporting use cases across enterprise automation, content generation, search, and developer workflows. Agnes AI is also preparing to expand enterprise application programming interface (API) services, giving developers and organisations access to its model suite across text, image, and video generation.

The announcement follows Agnes AI’s participation in the Singapore National AI Impact Programme, launched with support from IMDA and AI Singapore to upskill 40,000 tech professionals.

Details

Agnes-2.0-Flash is currently priced at: 

Input: US$0.03 per million tokens 

Output: US$0.15 per million tokens 

For image generation and editing, Agnes-Image-2.0-Flash is priced at US$3 per 1,000 images

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