DeepSeek V4 Flash now runs updated weights on AI Gateway
DeepSeek V4 Flash’s updated weights replace the preview behind the existing model ID, raising its reported Terminal-Bench score from 56.9 to 82.7 without code changes.
Updated **DeepSeek V4 Flash** weights now load automatically for the existing AI Gateway model ID. Vercel reports a **Terminal-Bench score of 82.7**, versus **56.9** for the April preview.
Re-evaluate the model on your own coding-agent tasks before changing routing. Existing integrations need no code or model-ID change, so behavior may shift even if your configuration stays fixed.
Updated **DeepSeek V4 Flash** weights now load automatically for the existing AI Gateway model ID. Vercel reports a **Terminal-Bench score of 82.7**, versus **56.9** for the April preview. Re-evaluate the model on your own coding-agent tasks before changing routing. Existing integrations need no code or model-ID change, so behavior may shift even if your configuration stays fixed. Only DeepSeek serves the updated weights for now. Other providers, including Zero Data Retention options, were announced for the following week but are not yet part of this release.
This turns model selection into a versioning concern: an existing route can change materially without a model-ID or code change. The higher reported benchmark supports renewed evaluation but does not establish superiority on a team’s own tasks. Compared with newly added gateway models, this is inherited behavioral drift, and the single-provider rollout temporarily limits routing and Zero Data Retention choices.