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deepseek-ai

DeepSeek cuts V4.1 Flash prices, raises V4 Pro rates

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Por ahora esta nota solo está disponible en inglés.

DeepSeek changed OpenRouter prices for three models on 2026-11-09: DeepSeek V4 Pro 0423 became more expensive, while DeepSeek V4.1 Flash 1017 and DeepSeek V4.1 Flash (batch) became cheaper.

Precio en OpenRouter, por 1M de tokens

Medido el 12 de noviembre de 2026

DeepSeek: DeepSeek V4 Pro 0423
Entrada /M tokens
0,955 US$
Salida /M tokens
1,911 US$
DeepSeek: DeepSeek V4.1 Flash 1017
Entrada /M tokens
0,006 US$
Salida /M tokens
0,50 US$
DeepSeek: DeepSeek V4.1 Flash (batch)
Entrada /M tokens
0,112 US$
Salida /M tokens
0,336 US$

DeepSeek V4 Pro 0423 price increase

DeepSeek V4 Pro 0423 now costs $0.9483 per million input tokens and $1.8966 per million output tokens, up from $0.4949 and $0.9897 on 2026-11-08. The input price rose 91.6 percent and the output price rose 91.6 percent. The model has 1598.8B parameters and a context window of 1048576 tokens.

DeepSeek V4.1 Flash price cuts

DeepSeek V4.1 Flash 1017 now costs $0.006 per million input tokens and $0.5 per million output tokens, down from $0.15 and $0.6. The input price fell 96.0 percent and the output price fell 16.7 percent. DeepSeek V4.1 Flash (batch) now costs $0.011 per million input tokens and $0.2 per million output tokens, down from $0.112 and $0.336. The input price fell 90.2 percent and the output price fell 40.5 percent. Both flash models have 763.2B parameters and a context window of 1048576 tokens.

DeepSeek-V4 series announcement

deepseek-ai announced DeepSeek-V4-Pro. According to deepseek-ai, DeepSeek-V4-Pro has 1.6T total parameters and 49B activated parameters, and DeepSeek-V4-Flash has 284B total parameters and 13B activated parameters. Both support a context length of one million tokens. According to deepseek-ai, DeepSeek-V4-Pro requires only 27 percent of single-token inference FLOPs compared with DeepSeek-V3.2 in the 1M-token context setting, and requires only 10 percent of KV cache compared with DeepSeek-V3.2 in the 1M-token context setting. According to deepseek-ai, DeepSeek-V4-Pro-Max achieves a Codeforces rating of 3206 and 93.5 Pass@1 on LiveCodeBench.

  • DeepSeek V4.1 Flash (batch) input price fell 90.2 percent and output price fell 40.5 percent.