LiteLLMLiteLLM/ MODELS

DeepSeek V4.1 Flash vs Nemotron 3.5 Super VL

As of November 12, 2026, DeepSeek V4.1 Flash is cheaper at 3 input tokens per output token, though it costs 11% more per input token than Nemotron 3.5 Super VL ($0.09 vs $0.081 per 1M), and both have a 1M-token context window.

Prices from LiteLLM's price fileChecked

DeepSeek V4.1 Flash vs Nemotron 3.5 Super VL side by side

Headline prices in US dollars per 1M tokens: each model's own lab where it sells it, otherwise its cheapest provider. Source: LiteLLM model price file, as of November 12, 2026.
DeepSeek V4.1 FlashNemotron 3.5 Super VL
Input, per 1M tokens$0.09$0.081
Output, per 1M tokens$0.30$0.4725
Cache read, per 1M tokens$0.006$0.0135
Cache write, per 1M tokens––
Context window1,048,576 tokens1,048,576 tokens
Max output1,048,576 tokens235,929 tokens
Image inputYesYes
Tool callingYesYes
Structured output (JSON)YesYes
Prompt cachingYesYes
ReasoningYesYes
Providers on LiteLLM252
Price shown is fromSailKyma API
Added to LiteLLMSeptember 11, 2026October 30, 2026

Cheapest provider for each

When to pick which

Pick DeepSeek V4.1 Flash for

  • Costs 37% less per output token: $0.30 vs $0.4725 per 1M.
  • Returns up to 1,048,576 tokens per response, vs 235,929.

Pick Nemotron 3.5 Super VL for

  • Costs 10% less per input token: $0.081 vs $0.09 per 1M.

From differences in the data above only; where the data is equal, no reason is given.

Call DeepSeek V4.1 Flash or Nemotron 3.5 Super VL with LiteLLM

Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.

Python SDK
from litellm import completion

messages = [{"role": "user", "content": "Hello!"}]

# DeepSeek V4.1 Flash
response = completion(model="sail/deepseek-ai/DeepSeek-V4.1-Flash", messages=messages)

# Nemotron 3.5 Super VL
response = completion(model="kyma/nemotron-3.5-super-vl", messages=messages)

# DeepSeek V4.1 Flash, falling back to Nemotron 3.5 Super VL if the call fails
response = completion(model="sail/deepseek-ai/DeepSeek-V4.1-Flash", messages=messages, fallbacks=["kyma/nemotron-3.5-super-vl"])

FAQ

Which is cheaper, DeepSeek V4.1 Flash or Nemotron 3.5 Super VL?

DeepSeek V4.1 Flash is cheaper at 3 input tokens per output token: $0.1425 per 1M tokens blended ($0.09 input, $0.30 output), versus $0.1789 ($0.081 and $0.4725) for Nemotron 3.5 Super VL, as of November 12, 2026.

Which has the larger context window, DeepSeek V4.1 Flash or Nemotron 3.5 Super VL?

Both have a 1,048,576-token context window.

Can I switch from DeepSeek V4.1 Flash to Nemotron 3.5 Super VL without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "sail/deepseek-ai/DeepSeek-V4.1-Flash" to "kyma/nemotron-3.5-super-vl", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.