DeepSeek V4 Flash 0731
arcprize.org
August 7, 2026
21 min read
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68/100
Summary
DeepSeek V4 Flash 0731 achieves scores of 89.0% on ARC-AGI-1 Semi-Private at a cost of $0.02 per task and 61.4% on ARC-AGI-2 Semi-Private at $0.04 per task. The model also records scores of 87.0% and 56.0% for the High variant, and 84.0% and 46.0% for the Low variant on the respective benchmarks.
Key Takeaways
- DeepSeek V4 Flash 0731 achieved a score of 89.0% on the ARC-AGI-1 Semi-Private benchmark at a cost of $0.02 per task.
- The model scored 61.4% on the ARC-AGI-2 Semi-Private benchmark at a cost of $0.04 per task.
- The maximum, high, and low scores for ARC-AGI-1 were 89.0%, 87.0%, and 84.0%, respectively.
- For ARC-AGI-2, the corresponding scores were 61.4%, 56.0%, and 46.0%.
Community Sentiment
Positives
- DeepSeek V4 Flash is impressively cheap and powerful enough for nearly any task, making it accessible for users who want to avoid high costs.
- Users are thrilled about the model's speed, noting that it enables interactive use that was previously unthinkable with older models.
- The performance-to-price ratio is blowing minds; why pay more for less when you can get competitive results at a fraction of the cost?
- Many users are finding the model capable for debugging and analyzing documents, indicating it's not just a gimmick but a practical tool.
Concerns
- Some users are already experiencing issues with the model going off-topic and getting stuck in loops, raising concerns about its reliability.
- There's a looming threat of price hikes that has commenters worried about future accessibility, especially for those relying on the API.
- A few users are skeptical about the benchmark comparisons, suggesting that recent advancements may not be as groundbreaking as they seem.