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DeepSeek-V4.1-Flash-1017 vs Kimi K3.1 Pro

DeepSeek-V4.1-Flash-1017 and Kimi K3.1 Pro are closely matched at 50.7 and 55.5 on the LLM Stats Score. DeepSeek-V4.1-Flash-1017 is 7.6x cheaper per token.

DeepSeek · Moonshot AI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 and Kimi K3.1 Pro are closely matched on the overall LLM Stats Score at 50.7 and 55.5.

In the 6 individual benchmarks reported for both models, Kimi K3.1 Pro wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash-1017 is roughly 7.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4.1-Flash-1017

  • cost matters — it's about 7.6x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Kimi K3.1 Pro

  • you value its reported benchmark strengths — it wins 5 of 6 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Kimi K3.1 Pro
Moonshot AI
Core performance indexes
LLM Stats Score
50.7
#17
55.5
#5
Reasoning
48.0
#22
54.3
#6
Coding
40.0
#15
42.7
#9
Agents
39.0
#11
41.6
#5
Cost, coverage & limits
Benchmark wins
1 of 6
5 of 6
Input price
$0.30 / M
$2.00 / M
Output price
$1.20 / M
$10.00 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
DeepSeek-V4.1-Flash-1017
Kimi K3.1 Pro
Math
31.8#70
38.6#26
Vision
32.4#28
40.5#4
Tool use
31.4#8
30.4#14
Multimodal
34.8#16
40.8#2
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 30 for Kimi K3.1 Pro

6 shared

DeepSeek-V4.1-Flash-1017 outperforms in 1 benchmarks (ZEROBench), while Kimi K3.1 Pro is better at 5 benchmarks (Agents' Last Exam, BabyVision, Chartography, Humanity's Last Exam, Terminal-Bench 4.0).

Kimi K3.1 Pro significantly outperforms across most benchmarks.

Thu Oct 29 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4.1-Flash-1017 costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 6.7x cheaper than Kimi K3.1 Pro ($2.00/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 8.3x cheaper than Kimi K3.1 Pro ($10.00/1M tokens).

In conclusion, Kimi K3.1 Pro is more expensive than DeepSeek-V4.1-Flash-1017.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Oct 29 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
Moonshot AI
Kimi K3.1 Pro
Input tokens$2.00
Output tokens$10.00
Best providerUnknown Organization
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Kimi K3.1 Pro can generate longer responses up to 1,048,576 tokens, while DeepSeek-V4.1-Flash-1017 is limited to 393,216 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Moonshot AI
Kimi K3.1 Pro
Input1,048,576 tokens
Output1,048,576 tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Kimi K3.1 Pro support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Kimi K3.1 Pro

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Kimi K3.1 Pro was released on 2026-10-23.

Kimi K3.1 Pro is 0 month newer than DeepSeek-V4.1-Flash-1017.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

1 weeks ago

Kimi K3.1 Pro

Oct 23, 2026

2 days ago

6d newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V4.1-Flash-1017 is available from DeepSeek. Kimi K3.1 Pro is available from Moonshot AI.

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Kimi K3.1 Pro

moonshot logo
Unknown Organization
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Kimi K3.1 Pro side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Kimi K3.1 Pro
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Kimi K3.1 Pro.

Which is better, DeepSeek-V4.1-Flash-1017 or Kimi K3.1 Pro?

DeepSeek-V4.1-Flash-1017 and Kimi K3.1 Pro are closely matched on the LLM Stats Score at 50.7 and 55.5. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Kimi K3.1 Pro is made by Moonshot AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash-1017 compare to Kimi K3.1 Pro in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Kimi K3.1 Pro scores BabyVision: 95.4%, GPQA: 94.2%, BenchCAD (with Python tool): 92.7%, BrowseComp: 92.1%, Chartography: 90.2%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Kimi K3.1 Pro?

DeepSeek-V4.1-Flash-1017 is 6.7x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Kimi K3.1 Pro costs $2.00/M input and $10.00/M output via moonshot.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Kimi K3.1 Pro?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Kimi K3.1 Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash-1017 and Kimi K3.1 Pro?

Key differences include LLM Stats Score (50.7 vs 55.5), input pricing ($0.30 vs $2.00/M), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Kimi K3.1 Pro?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Kimi K3.1 Pro is developed by Moonshot AI.

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