High severity intermediate · Fix: 5-15 min

RuntimeError

onnxruntime.capi.onnxruntime_pybind11_state.RuntimeError

What this error means
This error occurs when the ONNX model uses an opset version not supported by the installed ONNX runtime or tooling.

Stack trace

traceback
RuntimeError: [ONNXRuntimeError] : 1 : FAIL : Load model failed:This model uses opset version X which is not supported by this version of ONNX Runtime. Please update ONNX Runtime or export the model with a supported opset version.
QUICK FIX
Upgrade your ONNX runtime to the latest version or re-export the model with a supported opset version.

Why it happens

ONNX models specify an opset version that defines the set of supported operators and their behavior. If the ONNX runtime or tooling version is older and does not support the model's opset version, it cannot load or run the model, causing this error.

Detection

Check the ONNX model's opset version using onnx.helper or onnxruntime.InferenceSession load errors to detect unsupported opset versions before runtime failures.

Causes & fixes

1

The ONNX model was exported with a newer opset version than the installed ONNX runtime supports.

✓ Fix

Upgrade the ONNX runtime package to the latest version that supports the model's opset version.

2

The model was exported with an opset version higher than the target deployment environment supports.

✓ Fix

Re-export the ONNX model specifying a lower opset version compatible with the deployment environment using the export framework's opset_version parameter.

3

Mismatch between ONNX package version used to inspect or manipulate the model and the runtime version.

✓ Fix

Ensure the ONNX package and ONNX runtime versions are compatible and both support the model's opset version.

Code: broken vs fixed

Broken - triggers the error
python
import onnxruntime as ort

# This will raise RuntimeError if opset version unsupported
session = ort.InferenceSession('model.onnx')  # RuntimeError here
Fixed - works correctly
python
import os
import onnxruntime as ort

# Ensure environment variable for ONNX runtime path if needed
os.environ['ORT_LOG_LEVEL'] = 'verbose'

# Upgrade ONNX runtime to latest version before running
session = ort.InferenceSession('model.onnx')  # Fixed by upgrading runtime
print('Model loaded successfully')
Upgraded ONNX runtime to a version that supports the model's opset version, allowing successful model loading.

Workaround

Catch the RuntimeError and programmatically check the model's opset version using onnx.load_model and onnx.helper to decide whether to downgrade the model or notify for runtime upgrade.

Prevention

Always align the ONNX model export opset version with the minimum supported opset version of your deployment ONNX runtime, and keep runtimes updated to support newer opsets.

Python 3.7+ · onnxruntime >=1.0.0 · tested on 1.15.1
Verified 2026-04
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