DeepSeek V4.1 Flash 1017 vs GPT-4.1 Nano

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on November 14, 2026· 230 models

DeepSeekFlash 1017

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the deepseek-flash API model name.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
▲1 M tokens
Max output
▲944 K
Input, $ per 1M tokens
▲$0.038
Output, $ per 1M tokens
$0.500
Cache read, $ per 1M
$0.010
Batch (input / output)
$0.050 / $0.150
Tool calling
Yes
Released
▲10/17/2026
Knowledge cutoff
2025-05
API id
deepseek/deepseek-v4.1-flash-1017
OpenAIGPT-4.1 Nano

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series.

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Reasoning estimated
Speed estimated
Input
Output
Context
1 M tokens
Max output
943 K
Input, $ per 1M tokens
$0.100
Output, $ per 1M tokens
▲$0.400
Cache read, $ per 1M
$0.030
Batch (input / output)
$0.050 / $0.200
Tool calling
Yes
Released
04/14/2025
Knowledge cutoff
2024-04
API id
openai/gpt-4.1-nano
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: DeepSeek V4.1 Flash 1017 vs GPT-4.1 Nano?

  • DeepSeek V4.1 Flash 1017: cheapest input (62% less than GPT-4.1 Nano)
  • GPT-4.1 Nano: cheapest output
  • DeepSeek V4.1 Flash 1017: largest context (1 M)
  • DeepSeek V4.1 Flash 1017: the newest (10/17/2026)
  • DeepSeek V4.1 Flash 1017: most reasoning (estimated)

Pricing is split: DeepSeek V4.1 Flash 1017 wins on input and GPT-4.1 Nano wins on output. DeepSeek V4.1 Flash 1017 accepts more context (1 M). On capabilities, DeepSeek V4.1 Flash 1017 has a reasoning mode. DeepSeek V4.1 Flash 1017 and GPT-4.1 Nano offer a batch tier at half price for jobs that do not need an immediate answer.

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

DeepSeek V4.1 Flash 1017
$2.57/mo
GPT-4.1 Nano
$3.10/mo

With DeepSeek V4.1 Flash 1017 you save $0.53 a month versus GPT-4.1 Nano (17% less).

The 6 cheapest for this scenario (chat, last 12 months)

  1. 1Lyria 3 Pro Preview Google$0.00
  2. 2Lyria 3 Clip Preview Google$0.00
  3. 3Qwen3.7 Flash Qwen$0.97
  4. 4DeepSeek V4.1 Flash DeepSeek$1.57
  5. 5DeepSeek V4 Flash 0731 DeepSeek$1.85
  6. 6Ministral 3 3B 2512 Mistral$1.90

Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1DeepSeek V4.1 Flash 1017 DeepSeek$0.003
  2. 2GPT-4.1 Nano OpenAI$0.008
  3. 3Claude Haiku 5.5 Anthropic$0.008
  4. 4Claude Sonnet 5.5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.2 Anthropic$0.608
  8. 8Claude Fable 5.1 Anthropic$0.760

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Frequently asked questions

Which is the better API choice: DeepSeek V4.1 Flash 1017 vs GPT-4.1 Nano?

Pricing is split: DeepSeek V4.1 Flash 1017 wins on input and GPT-4.1 Nano wins on output. DeepSeek V4.1 Flash 1017 accepts more context (1 M). On capabilities, DeepSeek V4.1 Flash 1017 has a reasoning mode. DeepSeek V4.1 Flash 1017 and GPT-4.1 Nano offer a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: DeepSeek V4.1 Flash 1017 and GPT-4.1 Nano?

DeepSeek V4.1 Flash 1017 is cheaper: $0.038 per million input tokens and $0.500 per million output tokens, versus $0.100 / $0.400 for GPT-4.1 Nano.

Which has more context: DeepSeek V4.1 Flash 1017 and GPT-4.1 Nano?

DeepSeek V4.1 Flash 1017 accepts 1 M tokens of context; GPT-4.1 Nano accepts 1 M.

Which is newer: DeepSeek V4.1 Flash 1017 and GPT-4.1 Nano?

DeepSeek V4.1 Flash 1017 was released on 10/17/2026; GPT-4.1 Nano on 04/14/2025.

What would 10,000 requests a month cost with DeepSeek V4.1 Flash 1017 and GPT-4.1 Nano?

With 1,500 input and 400 output tokens per request: DeepSeek V4.1 Flash 1017: $2.57; GPT-4.1 Nano: $3.10 a month, at list price.

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.