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DeepSeek-V4.1-Flash vs DeepSeek-V4.1-Flash-1017

DeepSeek-V4.1-Flash and DeepSeek-V4.1-Flash-1017 are closely matched at 49.8 and 51.0 on the LLM Stats Score. DeepSeek-V4.1-Flash is 1.6x cheaper per token.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash and DeepSeek-V4.1-Flash-1017 are closely matched on the overall LLM Stats Score at 49.8 and 51.0.

In the 11 individual benchmarks reported for both models, DeepSeek-V4.1-Flash-1017 wins 11; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash-1017 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek-V4.1-Flash

  • cost matters — it's about 1.6x cheaper per token

Choose DeepSeek-V4.1-Flash-1017

  • you value its reported benchmark strengths — it wins 11 of 11 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
DeepSeek-V4.1-Flash-1017
DeepSeek
Core performance indexes
LLM Stats Score
49.8
#20
51.0
#15
Reasoning
47.7
#24
48.6
#18
Coding
40.3
#10
39.1
#15
Agents
38.2
#12
38.6
#9
Cost, coverage & limits
Benchmark wins
0 of 11
11 of 11
Input price
$0.22 / M
$0.30 / M
Output price
$0.66 / M
$1.20 / M
Context window
1,040,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
DeepSeek-V4.1-Flash
DeepSeek-V4.1-Flash-1017
Math
35.2#43
31.8#67
Vision
30.5#37
32.2#26
Tool use
31.8#5
30.9#7
Multimodal
32.3#24
35.0#14
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 11 for DeepSeek-V4.1-Flash-1017

11 shared

DeepSeek-V4.1-Flash outperforms in 0 benchmarks, while DeepSeek-V4.1-Flash-1017 is better at 11 benchmarks (Agents' Last Exam, AutomationBench, BabyVision, Chartography, DeepSWE 1.1, Humanity's Last Exam, Humanity's Last Exam (no tools, text-only), NL2Repo, Program Bench, Terminal-Bench 4.0, ZEROBench).

DeepSeek-V4.1-Flash-1017 significantly outperforms across most benchmarks.

Wed Oct 21 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 costs less

For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 1.4x cheaper than DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens).

For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 1.8x cheaper than DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens).

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

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

Lowest available price from all providers
Wed Oct 21 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash
Input tokens$0.22
Output tokens$0.66
Best providerFireworks
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
Notice missing or incorrect data?

Model Size

Parameter count comparison

0.0M diff

DeepSeek-V4.1-Flash-1017 has 0.0B more parameters than DeepSeek-V4.1-Flash, making it 0.0% larger.

DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
763.2B
DeepSeek-V4.1-Flash
763.2B
DeepSeek-V4.1-Flash-1017

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to DeepSeek-V4.1-Flash's 1,040,000 tokens. Both models can generate responses up to 393,216 tokens.

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Wed Oct 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V4.1-Flash

MIT

Open weights

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while DeepSeek-V4.1-Flash-1017 was released on 2026-10-17.

DeepSeek-V4.1-Flash-1017 is 1 month newer than DeepSeek-V4.1-Flash.

DeepSeek-V4.1-Flash

Sep 10, 2026

1 months ago

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

3 days ago

1mo 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 is available from Fireworks, DeepInfra, Novita. DeepSeek-V4.1-Flash-1017 is available from DeepSeek.

DeepSeek-V4.1-Flash

fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* 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 and DeepSeek-V4.1-Flash-1017 side-by-side, then vote on the output you prefer.

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

FAQ

Common questions about DeepSeek-V4.1-Flash vs DeepSeek-V4.1-Flash-1017.

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

DeepSeek-V4.1-Flash and DeepSeek-V4.1-Flash-1017 are closely matched on the LLM Stats Score at 49.8 and 51.0. DeepSeek-V4.1-Flash is made by DeepSeek and DeepSeek-V4.1-Flash-1017 is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

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

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%.

Is DeepSeek-V4.1-Flash cheaper than DeepSeek-V4.1-Flash-1017?

DeepSeek-V4.1-Flash is 1.4x cheaper for input tokens. DeepSeek-V4.1-Flash costs $0.22/M input and $0.66/M output via fireworks. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek.

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

DeepSeek-V4.1-Flash supports 1.0M tokens and DeepSeek-V4.1-Flash-1017 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 and DeepSeek-V4.1-Flash-1017?

Key differences include LLM Stats Score (49.8 vs 51.0), context window (1.0M vs 1.0M), input pricing ($0.22 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.

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