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DeepSeek-V4-Pro-0813 vs DeepSeek-V4.1-Flash-1017

DeepSeek-V4-Pro-0813 and DeepSeek-V4.1-Flash-1017 are closely matched at 50.3 and 51.0 on the LLM Stats Score. DeepSeek-V4.1-Flash-1017 is 3.1x cheaper per token.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and DeepSeek-V4.1-Flash-1017 are closely matched on the overall LLM Stats Score at 50.3 and 51.0.

In the 5 individual benchmarks reported for both models, DeepSeek-V4.1-Flash-1017 wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash-1017 is roughly 3.1x 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-Pro-0813

  • you want predictable pricing at $1.30/M input and $2.60/M output

Choose DeepSeek-V4.1-Flash-1017

  • you value its reported benchmark strengths — it wins 4 of 5 exact shared results
  • cost matters — it's about 3.1x cheaper per token
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
DeepSeek-V4.1-Flash-1017
DeepSeek
Core performance indexes
LLM Stats Score
50.3
#18
51.0
#15
Reasoning
48.5
#19
48.6
#18
Coding
38.1
#22
39.1
#15
Agents
35.3
#24
38.6
#9
Cost, coverage & limits
Benchmark wins
1 of 5
4 of 5
Input price
$1.30 / M
$0.30 / M
Output price
$2.60 / M
$1.20 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4-Pro-0813
DeepSeek-V4.1-Flash-1017
Math
38.8#23
31.8#67
Tool use
28.0#22
30.9#7
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for DeepSeek-V4-Pro-0813 · 11 for DeepSeek-V4.1-Flash-1017

5 shared

DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while DeepSeek-V4.1-Flash-1017 is better at 4 benchmarks (Agents' Last Exam, AutomationBench, Humanity's Last Exam (no tools, text-only), NL2Repo).

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

Mon Oct 19 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-Pro-0813 ($1.30/1M tokens) is 4.3x more expensive than DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens).

For output processing, DeepSeek-V4-Pro-0813 ($2.60/1M tokens) is 2.2x more expensive than DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens).

In conclusion, DeepSeek-V4-Pro-0813 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
Mon Oct 19 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Pro-0813
Input tokens$1.30
Output tokens$2.60
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

836.8B diff

DeepSeek-V4-Pro-0813 has 836.8B more parameters than DeepSeek-V4.1-Flash-1017, making it 109.6% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
1600.0B
DeepSeek-V4-Pro-0813
763.2B
DeepSeek-V4.1-Flash-1017

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4-Pro-0813 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-Pro-0813
Input1,048,576 tokens
Output1,048,576 tokens
DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 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-V4-Pro-0813

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-Pro-0813

MIT

Open weights

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while DeepSeek-V4.1-Flash-1017 was released on 2026-10-17.

DeepSeek-V4.1-Flash-1017 is 2 months newer than DeepSeek-V4-Pro-0813.

DeepSeek-V4-Pro-0813

Aug 13, 2026

2 months ago

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

2mo 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-Pro-0813 is available from DeepInfra, DeepSeek, Novita, Together. DeepSeek-V4.1-Flash-1017 is available from DeepSeek.

DeepSeek-V4-Pro-0813

deepinfra logo
Deepinfra
Input Price:Input: $1.30/1MOutput Price:Output: $2.60/1M
deepseek logo
DeepSeek
Input Price:Input: $1.32/1MOutput Price:Output: $3.96/1M
novita logo
Novita
Input Price:Input: $1.32/1MOutput Price:Output: $3.96/1M
together logo
Together
Input Price:Input: $1.32/1MOutput Price:Output: $3.96/1M

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-Pro-0813 and DeepSeek-V4.1-Flash-1017 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
DeepSeek-V4.1-Flash-1017
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs DeepSeek-V4.1-Flash-1017.

Which is better, DeepSeek-V4-Pro-0813 or DeepSeek-V4.1-Flash-1017?

DeepSeek-V4-Pro-0813 and DeepSeek-V4.1-Flash-1017 are closely matched on the LLM Stats Score at 50.3 and 51.0. DeepSeek-V4-Pro-0813 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-Pro-0813 compare to DeepSeek-V4.1-Flash-1017 in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. 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-Pro-0813 cheaper than DeepSeek-V4.1-Flash-1017?

DeepSeek-V4.1-Flash-1017 is 4.3x cheaper for input tokens. DeepSeek-V4-Pro-0813 costs $1.30/M input and $2.60/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-V4-Pro-0813 and DeepSeek-V4.1-Flash-1017?

DeepSeek-V4-Pro-0813 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-Pro-0813 and DeepSeek-V4.1-Flash-1017?

Key differences include LLM Stats Score (50.3 vs 51.0), input pricing ($1.30 vs $0.30/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

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