RA
Rhymes AI
Multimodal model · United States ·Oct 2024

Aria

Multimodal Open (Restricted)
24.9B
Parameters
6
Benchmarks

About Aria

Aria is an AI model developed by Rhymes AI, in the multimodal category, released in 2024, made available as an open-weights model with 24.9B params.

On this page you'll find Aria's full specifications, including 6 benchmark results. Review provider pricing and benchmark scores below, or compare Aria head-to-head with other multimodal models.

Links

Run Aria locally — what to buy

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Sized to what Aria actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Software support

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

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Aria benchmark scores
Benchmark Category Score Variant
MMLU general 73.3% 5-shot-from-hf-readme
MATH math 50.8% from-hf-readme
ChartQA multimodal 86.4% from-hf-readme
DocVQA multimodal 92.600 from-hf-readme
MMMU multimodal 54.9% from-hf-readme
MathVista multimodal 66.1% from-hf-readme

More models like Aria

Frequently asked questions

What is Aria?

Aria is an AI model developed by Rhymes AI, in the multimodal category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Aria?

Aria was developed by Rhymes AI and released in 2024.

Is Aria open source or proprietary?

Aria ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does Aria cost?

Pricing for Aria depends on the provider. See the providers table on this page for the latest API rates.

How does Aria perform on benchmarks?

Aria is benchmarked across 6 evaluations on GenAIList, including MMLU (73.3%). See the full benchmark table below and compare it with other models.

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