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DeepSeek-V3 0324 vs DeepSeek-V4.1-Flash-1017

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 12.8. DeepSeek-V3 0324 is 1.3x 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 12.8, ranking #15 overall.

On price, DeepSeek-V3 0324 is roughly 1.3x 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-V3 0324

  • cost matters — it's about 1.3x cheaper per token

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 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-V3 0324
DeepSeek
DeepSeek-V4.1-Flash-1017
DeepSeek
Core performance indexes
LLM Stats Score
12.8
#271
51.2
#15
Reasoning
13.1
#262
48.8
#18
Coding
3.8
#235
39.3
#14
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.24 / M
$0.30 / M
Output price
$0.90 / 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-V3 0324
DeepSeek-V4.1-Flash-1017
Math
15.7#224
31.8#69
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for DeepSeek-V3 0324 · 11 for DeepSeek-V4.1-Flash-1017

No common benchmarks found

DeepSeek-V3 0324 and DeepSeek-V4.1-Flash-1017don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 0324 costs less

For input processing, DeepSeek-V3 0324 ($0.24/1M tokens) is 1.3x cheaper than DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens).

For output processing, DeepSeek-V3 0324 ($0.90/1M tokens) is 1.3x cheaper than DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than DeepSeek-V3 0324.*

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

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.24
Output tokens$0.90
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-V3 0324, making it 13.7% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
671.0B
DeepSeek-V3 0324
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-V3 0324's 163,840 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while DeepSeek-V3 0324 is limited to 163,840 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas DeepSeek-V3 0324 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-V3 0324

Text
Images
Audio
Video

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while DeepSeek-V4.1-Flash-1017 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while DeepSeek-V4.1-Flash-1017 was released on 2026-10-17.

DeepSeek-V4.1-Flash-1017 is 19 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.6 years ago

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

1.6yr 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-V3 0324 is available from DeepInfra, Novita. DeepSeek-V4.1-Flash-1017 is available from DeepSeek.

DeepSeek-V3 0324

deepinfra logo
Deepinfra
Input Price:Input: $0.24/1MOutput Price:Output: $0.90/1M
novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

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-V3 0324 and DeepSeek-V4.1-Flash-1017 side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
DeepSeek-V4.1-Flash-1017
Open in Playground

FAQ

Common questions about DeepSeek-V3 0324 vs DeepSeek-V4.1-Flash-1017.

Which is better, DeepSeek-V3 0324 or DeepSeek-V4.1-Flash-1017?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 12.8. DeepSeek-V3 0324 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-V3 0324 compare to DeepSeek-V4.1-Flash-1017 in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. 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-V3 0324 cheaper than DeepSeek-V4.1-Flash-1017?

DeepSeek-V3 0324 is 1.3x cheaper for input tokens. DeepSeek-V3 0324 costs $0.24/M input and $0.90/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-V3 0324 and DeepSeek-V4.1-Flash-1017?

DeepSeek-V3 0324 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-V3 0324 and DeepSeek-V4.1-Flash-1017?

Key differences include LLM Stats Score (12.8 vs 51.2), context window (164K vs 1.0M), input pricing ($0.24 vs $0.30/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.

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