The AI arena is free today

Open Superagent

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

DeepSeek-V4-Pro-0813 and DeepSeek-V4.1-Flash are closely matched at 52.0 and 51.8 on the LLM Stats Score. DeepSeek-V4.1-Flash is 4.9x cheaper per token.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and DeepSeek-V4.1-Flash are closely matched on the overall LLM Stats Score at 52.0 and 51.8.

In the 7 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash is roughly 4.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Pro-0813 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-Pro-0813

  • you process long inputs — it offers a 1,048,576 token context window

Choose DeepSeek-V4.1-Flash

  • you value its reported benchmark strengths — it wins 5 of 7 exact shared results
  • cost matters — it's about 4.9x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
DeepSeek-V4.1-Flash
DeepSeek
Core performance indexes
LLM Stats Score
52.0
#12
51.8
#13
Reasoning
50.0
#15
48.9
#18
Coding
40.4
#12
44.2
#5
Agents
37.6
#13
41.1
#4
Cost, coverage & limits
Benchmark wins
2 of 7
5 of 7
Input price
$1.30 / M
$0.22 / M
Output price
$2.60 / M
$0.66 / M
Context window
1,048,576
1,040,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4-Pro-0813
DeepSeek-V4.1-Flash
Math
41.0#10
35.2#43
Tool use
31.3#10
34.8#2
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for DeepSeek-V4-Pro-0813 · 20 for DeepSeek-V4.1-Flash

7 shared

DeepSeek-V4-Pro-0813 outperforms in 2 benchmarks (Humanity's Last Exam, Humanity's Last Exam (no tools, text-only)), while DeepSeek-V4.1-Flash is better at 5 benchmarks (Agents' Last Exam, AutomationBench, CyberGym, NL2Repo, Terminal-Bench 2.1).

DeepSeek-V4.1-Flash shows notably better performance in the majority of benchmarks.

Sun Sep 20 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-Pro-0813 ($1.30/1M tokens) is 5.9x more expensive than DeepSeek-V4.1-Flash ($0.22/1M tokens).

For output processing, DeepSeek-V4-Pro-0813 ($2.60/1M tokens) is 3.9x more expensive than DeepSeek-V4.1-Flash ($0.66/1M tokens).

In conclusion, DeepSeek-V4-Pro-0813 is more expensive than DeepSeek-V4.1-Flash.*

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

Lowest available price from all providers
Sun Sep 20 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Pro-0813
Input tokens$1.30
Output tokens$2.60
Best providerDeepinfra
DeepSeek
DeepSeek-V4.1-Flash
Input tokens$0.22
Output tokens$0.66
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

836.8B diff

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

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

Context Window

Maximum input and output token capacity

DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to DeepSeek-V4.1-Flash's 1,040,000 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 1,048,576 tokens, while DeepSeek-V4.1-Flash is limited to 393,216 tokens.

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output1,048,576 tokens
DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

DeepSeek-V4.1-Flash 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

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

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 was released on 2026-09-10.

DeepSeek-V4.1-Flash is 1 month newer than DeepSeek-V4-Pro-0813.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 months ago

DeepSeek-V4.1-Flash

Sep 10, 2026

1 weeks ago

4w 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 is available from Fireworks, DeepInfra, DeepSeek, Novita.

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

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
deepseek logo
DeepSeek
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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and DeepSeek-V4.1-Flash side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek-V4-Pro-0813 and DeepSeek-V4.1-Flash are closely matched on the LLM Stats Score at 52.0 and 51.8. DeepSeek-V4-Pro-0813 is made by DeepSeek and DeepSeek-V4.1-Flash 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 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 scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%.

Is DeepSeek-V4-Pro-0813 cheaper than DeepSeek-V4.1-Flash?

DeepSeek-V4.1-Flash is 5.9x cheaper for input tokens. DeepSeek-V4-Pro-0813 costs $1.30/M input and $2.60/M output via deepinfra. DeepSeek-V4.1-Flash costs $0.22/M input and $0.66/M output via fireworks.

What are the context window sizes for DeepSeek-V4-Pro-0813 and DeepSeek-V4.1-Flash?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and DeepSeek-V4.1-Flash 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?

Key differences include LLM Stats Score (52.0 vs 51.8), context window (1.0M vs 1.0M), input pricing ($1.30 vs $0.22/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Related comparisons