DeepSeek: DeepSeek V4 Flash 0731
DeepSeek's flagship model. Long-context specialist with 1.0M window.
Scores by test
Methodology →What you need to know
DeepSeek V4 Flash 0731 provides frontier-level intelligence at a significant cost advantage. With a blended cost of $0.158 per million tokens, it delivers performance that ranks 6th out of 133 models, making it highly efficient for high-volume production environments. Its Epoch Capabilities Index of 152.5 places it within the range of top-tier frontier models, while its 94.4% score on AIME 2025 indicates exceptional mathematical reasoning.
The model is particularly strong in technical and agentic tasks, earning perfect 5/5 internal scores in structured output, tool calling, strategic analysis, and agentic planning. This makes it a reliable choice for building autonomous workflows or applications requiring strict data formatting. While it supports a massive 1.0M context window, its internal long-context performance is rated slightly lower at 4/5, suggesting a potential drop in retrieval accuracy at extreme lengths.
Compared to its price tier, this model is a bargain for developers who need high-reasoning capabilities without the cost of a full-scale flagship model. It maintains high faithfulness and safety calibration, though it is marginally less effective at simple classification and constrained rewriting than it is at complex problem solving.
Use this model if you are building agentic workflows, complex tool-calling systems, or high-volume applications requiring frontier-level reasoning on a budget. Skip this model if your primary requirement is perfect precision in constrained rewriting or if you rely heavily on the absolute upper limit of its 1.0M context window.
Strengths — Top 3
Relative weaknesses — Bottom 3
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