DeepSeek V4.1 Flash 1017 vs Kimi K2 Thinking

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
MoonshotK2 Thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
262 K tokens
Max output
98 K
Input, $ per 1M tokens
$0.600
Output, $ per 1M tokens
$2.50
Cache read, $ per 1M
$0.150
Batch (input / output)
—
Tool calling
Yes
Released
11/06/2025
Knowledge cutoff
—
API id
moonshotai/kimi-k2-thinking
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 Kimi K2 Thinking?

  • DeepSeek V4.1 Flash 1017: cheapest input (94% less than Kimi K2 Thinking)
  • DeepSeek V4.1 Flash 1017: cheapest output
  • DeepSeek V4.1 Flash 1017: largest context (1 M)
  • DeepSeek V4.1 Flash 1017: the newest (10/17/2026)
  • Kimi K2 Thinking: most reasoning (estimated)
  • DeepSeek V4.1 Flash 1017: the fastest (estimated)

DeepSeek V4.1 Flash 1017 costs 94% less on input and 80% less on output than Kimi K2 Thinking ($0.038 / $0.500 versus $0.600 / $2.50 per million tokens). DeepSeek V4.1 Flash 1017 accepts more context (1 M). On capabilities, DeepSeek V4.1 Flash 1017 accepts images. DeepSeek V4.1 Flash 1017 offers 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
Kimi K2 Thinking
$19.00/mo

With DeepSeek V4.1 Flash 1017 you save $16.43 a month versus Kimi K2 Thinking (86% 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. 2Claude Haiku 5.5 Anthropic$0.008
  3. 3Kimi K2 Thinking Moonshot$0.046
  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 Kimi K2 Thinking?

DeepSeek V4.1 Flash 1017 costs 94% less on input and 80% less on output than Kimi K2 Thinking ($0.038 / $0.500 versus $0.600 / $2.50 per million tokens). DeepSeek V4.1 Flash 1017 accepts more context (1 M). On capabilities, DeepSeek V4.1 Flash 1017 accepts images. DeepSeek V4.1 Flash 1017 offers a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: DeepSeek V4.1 Flash 1017 and Kimi K2 Thinking?

DeepSeek V4.1 Flash 1017 is cheaper: $0.038 per million input tokens and $0.500 per million output tokens, versus $0.600 / $2.50 for Kimi K2 Thinking.

Which has more context: DeepSeek V4.1 Flash 1017 and Kimi K2 Thinking?

DeepSeek V4.1 Flash 1017 accepts 1 M tokens of context; Kimi K2 Thinking accepts 262 K.

Which is newer: DeepSeek V4.1 Flash 1017 and Kimi K2 Thinking?

DeepSeek V4.1 Flash 1017 was released on 10/17/2026; Kimi K2 Thinking on 11/06/2025.

What would 10,000 requests a month cost with DeepSeek V4.1 Flash 1017 and Kimi K2 Thinking?

With 1,500 input and 400 output tokens per request: DeepSeek V4.1 Flash 1017: $2.57; Kimi K2 Thinking: $19.00 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.