Per Artificial Analysis, DeepSeek V4 Flash scored 50 on its intelligence index, ranking 3rd of 101 models and about twice the median among open-weight models. Output speed is ~104 tokens/sec; input and output pricing are $0.14 and $0.28 per mln tokens. The report says competition is shifting from peak performance to cost-per-completed-task. Low price, open weights and mln-token context position DeepSeek for batch search, coding assistance and multi-agent calls, and will pressure high-priced clos

2026-08-06

Per Artificial Analysis, DeepSeek V4 Flash scored 50 on its intelligence index, ranking 3rd of 101 models and about twice the median among open-weight models. Output speed is ~104 tokens/sec; input and output pricing are $0.14 and $0.28 per mln tokens. The report says competition is shifting from peak performance to cost-per-completed-task. Low price, open weights and mln-token context position DeepSeek for batch search, coding assistance and multi-agent calls, and will pressure high-priced closed models to defend premiums via reliability, ecosystem and enterprise services. Caveats: DeepSeek generated ~210 mln tokens during the review—roughly double the peer median—suggesting verbose inference, and benchmarks do not fully capture complex-task success rates; a low token price may not translate into proportional cost savings for all real workloads.