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  1. DeepSeek V4.1 Flash 1017DeepSeekRemove
  2. MiniMax M2.5 (Lightning)MiniMaxRemove
deepseek-v4.1-flash-1017 vs minimax-m2.5-lightning
AttributeDeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017MiniMax M2.5 (Lightning)minimax-m2.5-lightning
Pricing
Input$0.10 / 1M$0.30 / 1M
Output$0.50 / 1M$2.20 / 1M
Cache Write (5m)$0.10 / 1M$0.30 / 1M
Cache Write (1h)$0.10 / 1M$0.30 / 1M
Cache Read$0.10 / 1M$0.30 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M128K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderDeepSeekMiniMax
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryDeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek’s cost-efficient Mixture-of-Experts (MoE) model, built on its innovative Causal Encoder-Decoder (CED) architecture. Featuring 552B total parameters with 8B activated for input and 16B for output, it combines efficient inference with native multimodal understanding through jointly trained text and visual representations. Optimized for coding, terminal and computer-use agents, and long-horizon workflows, the model introduces compressed KV caching that reduces cache memory usage to approximately one-quarter of the previous Flash generation. DeepSeek reports that it surpasses V4 Pro in performance, inference speed, and task completion time, making it well suited for cost-efficient autonomous agents, complex software engineering, and long-context analysis.MiniMax-M2.5-Lightning is the high-speed variant of the M2.5 series, optimized for low latency, real-time responsiveness, and high-frequency workloads. It retains the core planning and execution strengths of M2.5 while further improving inference efficiency and response speed, making it ideal for interactive applications, rapid coding assistance, and workflow automation. With enhanced cost efficiency and reduced latency, M2.5-Lightning is particularly well suited for high-throughput, always-on deployments and production environments where speed and scalability are critical.