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DeepSeek-R1-0528 vs DeepSeek-V4.1-Flash-1017

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 23.6. DeepSeek-V4.1-Flash-1017 is 1.7x cheaper per token.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.2 to 23.6, ranking #15 overall.

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

On price, DeepSeek-V4.1-Flash-1017 is roughly 1.7x 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-R1-0528

  • you want predictable pricing at $0.50/M input and $2.15/M output

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.2 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 1.7x cheaper per token
  • 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-R1-0528
DeepSeek
DeepSeek-V4.1-Flash-1017
DeepSeek
Core performance indexes
LLM Stats Score
23.6
#192
51.2
#15
Reasoning
23.2
#188
48.8
#18
Coding
7.4
#206
39.3
#14
Agents
-12.2
#211
38.7
#8
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.50 / M
$0.30 / M
Output price
$2.15 / M
$1.20 / M
Context window
163,840
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-R1-0528
DeepSeek-V4.1-Flash-1017
Math
26.0#113
31.8#69
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for DeepSeek-R1-0528 · 11 for DeepSeek-V4.1-Flash-1017

1 shared

DeepSeek-R1-0528 outperforms in 0 benchmarks, while DeepSeek-V4.1-Flash-1017 is better at 1 benchmark (Humanity's Last Exam).

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

Wed Oct 28 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-R1-0528 ($0.50/1M tokens) is 1.7x more expensive than DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 1.8x more expensive than DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens).

In conclusion, DeepSeek-R1-0528 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
Wed Oct 28 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
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

92.2B diff

DeepSeek-V4.1-Flash-1017 has 92.2B more parameters than DeepSeek-R1-0528, making it 13.7% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
671.0B
DeepSeek-R1-0528
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-R1-0528's 163,840 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while DeepSeek-R1-0528 is limited to 163,840 tokens.

DeepSeek
DeepSeek-R1-0528
Input163,840 tokens
Output163,840 tokens
DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Wed Oct 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-R1-0528

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-R1-0528

MIT

Open weights

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while DeepSeek-V4.1-Flash-1017 was released on 2026-10-17.

DeepSeek-V4.1-Flash-1017 is 17 months newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

1.4 years ago

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

1 weeks ago

1.4yr 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-R1-0528 is available from DeepInfra, DeepSeek, Novita. DeepSeek-V4.1-Flash-1017 is available from DeepSeek.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

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-R1-0528 and DeepSeek-V4.1-Flash-1017 side-by-side, then vote on the output you prefer.

DeepSeek-R1-0528
✓ Preferred
DeepSeek-V4.1-Flash-1017
Open in Playground

FAQ

Common questions about DeepSeek-R1-0528 vs DeepSeek-V4.1-Flash-1017.

Which is better, DeepSeek-R1-0528 or DeepSeek-V4.1-Flash-1017?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 23.6. DeepSeek-R1-0528 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-R1-0528 compare to DeepSeek-V4.1-Flash-1017 in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. 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-R1-0528 cheaper than DeepSeek-V4.1-Flash-1017?

DeepSeek-V4.1-Flash-1017 is 1.7x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. 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-R1-0528 and DeepSeek-V4.1-Flash-1017?

DeepSeek-R1-0528 supports 164K 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-R1-0528 and DeepSeek-V4.1-Flash-1017?

Key differences include LLM Stats Score (23.6 vs 51.2), context window (164K vs 1.0M), input pricing ($0.50 vs $0.30/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

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