Newer versions of ONNX Runtime support all models that worked with prior versions, so updates should not break integrations.
## Environment compatibility
ONNX Runtime is not explicitly tested with every variation/combination of environments and dependencies, so this list is not comprehensive. Please use this as starting reference. For specific questions or requests, please [file an issue](https://github.com/microsoft/onnxruntime/issues) on Github.
ONNX Runtime supports all opsets from the latest released version of the [ONNX](https://onnx.ai) spec. All versions of ONNX Runtime support ONNX opsets from ONNX v1.2.1+ (opset version 7 and higher).
* For example: if an ONNX Runtime release implements ONNX opset 9, it can run models stamped with ONNX opset versions in the range [7-9].
* [Supported Operator Data Types](https://github.com/microsoft/onnxruntime/blob/main/docs/OperatorKernels.md)
* *Operators not supported in the current ONNX spec may be available as a [Contrib Operator](https://github.com/microsoft/onnxruntime/blob/main/docs/ContribOperators.md)*
| ONNX Runtime version | [ONNX version](https://github.com/onnx/onnx/blob/master/docs/Versioning.md) | ONNX opset version | ONNX ML opset version | ONNX IR version |
Unless otherwise noted, please use the latest released version of the tools to convert/export the ONNX model. Most tools are backwards compatible and support multiple ONNX versions. Join this with the table above to evaluate ONNX Runtime compatibility.
