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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. DeepSeek V4.1 Flash 1017DeepSeekRemove
  2. Nemotron 3.5 LightningNVIDIARemove
  3. Universal-3.5 ProAssemblyAIRemove
deepseek-v4.1-flash-1017 vs nemotron-3.5-lightning vs universal-3-5-pro
AttributeDeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017Nemotron 3.5 Lightningnemotron-3.5-lightningUniversal-3.5 Prouniversal-3-5-pro
Pricing
Input$0.10 / 1M— Not priced per input token— Not priced per input token
Output$0.50 / 1M— Not priced per output token— Not priced per output token
Cache Write (5m)$0.10 / 1M$0.00 / 1MNot applicable
Cache Write (1h)$0.10 / 1M$0.00 / 1MNot applicable
Cache Read$0.10 / 1M$0.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderDeepSeekNVIDIAAssemblyAI
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-22
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.NVIDIA Nemotron 3.5 Lightning is an open Mixture-of-Experts (MoE) model with 30B total parameters and 3B active per token, optimized for high-throughput agentic workloads and efficient inference. Its lightweight active compute and open design make it well suited for specialized agents, domain-specific customization, and scalable production deployments where speed, cost efficiency, and adaptability are key.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.