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DeepSeek-V4-Flash-0731: Major Breakthrough in AI

🛠️ AI Tools·Tom Levy·

DeepSeek-V4-Flash-0731: Major Breakthrough in AI

DeepSeek-V4-Flash-0731: Major Breakthrough in AI
Key Takeaways
1DeepSeek-V4-Flash-0731 integrates 304 billion parameters, surpassing MiniMax M3.
2With a cost of $0.14 per million inputs, it offers excellent value for money.
3The model excels on the Intelligence Index, optimizing cost per task.
💡Why it mattersDeepSeek-V4-Flash-0731 redefines performance and economic efficiency standards in the field of artificial intelligence.
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Full Analysis

DeepSeek-V4-Flash-0731: A Cutting-Edge Model

The new version of DeepSeek, named "DeepSeek-V4-Flash-0731," marks a significant advancement in the field of artificial intelligence models. This model stands out with its 304 billion parameters and a size of 167 GB on the Hugging Face platform, allowing it to outperform its competitors in terms of performance.

Comparison with MiniMax M3

Although the MiniMax M3 model boasts 428 billion parameters, DeepSeek-V4-Flash-0731 is ranked ahead due to its enhanced agentic capabilities. This positioning is further strengthened by a competitive pricing of $0.14 per million inputs and $0.27 per million outputs, making it a highly attractive option for those seeking the best value in artificial intelligence.

Performance on the Intelligence Index

The model also stands out on the Intelligence Index chart, where it shows remarkable performance compared to the Cost per Task of the Intelligence Index. This demonstrates its ability to provide efficient solutions at a lower cost.

Reasoning Tests

During a test with a pelican using the default reasoning level via OpenRouter, the results were disappointing. However, by increasing the reasoning level to high, performance improved significantly, highlighting the flexibility and power of DeepSeek-V4-Flash-0731 for complex tasks.

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