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Oryx 7B
About Oryx 7B
Oryx 7B is an AI model developed by Tsinghua University, in the multimodal category, released in 2024, made available as an open-weights model with 7B params.
On this page you'll find Oryx 7B's full specifications. Review provider pricing and benchmark scores below, or compare Oryx 7B head-to-head with other multimodal models.
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Run Oryx 7B locally — what to buy
Share this build ↗Sized to what Oryx 7B 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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Frequently asked questions
What is Oryx 7B? ▶
Oryx 7B is an AI model developed by Tsinghua University, in the multimodal category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Oryx 7B? ▶
Oryx 7B was developed by Tsinghua University and released in 2024.
Is Oryx 7B open source or proprietary? ▶
Oryx 7B 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 Oryx 7B cost? ▶
Pricing for Oryx 7B depends on the provider. See the providers table on this page for the latest API rates.
How does Oryx 7B perform on benchmarks? ▶
Benchmark scores for Oryx 7B are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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