DeepSeek V4.1 Flash: Multimodal Release Details
DeepSeek released V4.1 Flash on September 10, 2026. This article outlines its multimodal capabilities, reported benchmarks, and evaluation steps for engineers.
Release Overview and Capabilities
DeepSeek announced the official release of DeepSeek-V4.1-Flash on September 10, 2026. This date marks the historical event of the announcement, distinct from the current publication date of this article. The model is identified as the smallest member of a new architecture family designed by the provider. A key feature documented in the release notes is native multimodal visual understanding, indicating that the model accepts both text and image inputs while producing text outputs.
- Input modalities include text and images.
- Output modality is text.
- Open weights are confirmed for this model release.
- The model is part of a new architecture family.
Reported Benchmark Performance
The source material provides specific numerical scores for various standardized tests. These figures represent the performance recorded at the time of release. Engineers should note that these are static data points from the announcement and do not imply real-time operational speed or cost efficiency in production environments. The following scores were listed in the official update:
- GPQA Diamond: 90.9
- HLE: 36.8 (with an alternate value of 39.1 noted)
- Codeforces Rating: 3471
- MathArena Apex: 65.6
- Terminal-Bench 2.1: 90.6
- Terminal-Bench 3.0: 30.0
- Terminal-Bench 4.0: 31.2
- DeepSWE v1.1: 74.2
Evaluation Procedure for Engineers
To validate the model's suitability for specific use cases, engineers should conduct independent testing rather than relying solely on the provided benchmark scores. Since the source confirms open weights, local deployment is possible, but specific hardware requirements are not detailed in the provided facts. A practical evaluation procedure involves the following steps:
- Test the model with a representative sample of your own text and image data to verify multimodal processing accuracy.
- Measure inference latency and throughput on your specific hardware configuration to determine if it meets operational requirements.
- Compare the output quality against existing models in your stack using blind evaluation methods.
- Validate security and safety responses using adversarial prompts relevant to your application domain.
Primary sources
Frequently asked questions
Does the release confirm API pricing or availability?
No. The source facts do not contain information regarding API pricing, specific API endpoints, or commercial availability terms. The release confirms open weights, but no cost structure is provided.
What does 'smallest model in the new architecture family' mean for deployment?
It indicates that DeepSeek-V4.1-Flash is the least resource-intensive option within this specific new architectural series. However, the source does not specify exact parameter counts, memory requirements, or minimum hardware specifications for local installation.