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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GPT-5 NanoOpenAIRemove
  2. DeepSeek V4.1 Flash 1017DeepSeekRemove
gpt-5-nano-2025-08-07 vs deepseek-v4.1-flash-1017
AttributeGPT-5 Nanogpt-5-nano-2025-08-07DeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017
Pricing
Input$0.0175 / 1M$0.10 / 1M
Output$0.14 / 1M$0.50 / 1M
Cache Write (5m)$0.0175 / 1M$0.10 / 1M
Cache Write (1h)$0.0175 / 1M$0.10 / 1M
Cache Read$0.0175 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context400K1M
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderOpenAIDeepSeek
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryGPT-5-Nano is the smallest and fastest GPT-5 variant, built for ultra-low latency and cost-sensitive use cases like developer tools and real-time interactions. While it offers shallower reasoning than larger GPT-5 models, it preserves core instruction-following and safety features and succeeds GPT-4.1-nano as a lightweight option.DeepSeek 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.