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DeepSeek-V4.1-Flash-1017 vs Ministral 3 (14B Reasoning 2512)

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 20.3. Ministral 3 (14B Reasoning 2512) is 2.6x cheaper per token.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 20.3, ranking #15 overall.

On price, Ministral 3 (14B Reasoning 2512) is roughly 2.6x 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-1017

  • overall performance matters — it scores 51.0 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

Choose Ministral 3 (14B Reasoning 2512)

  • cost matters — it's about 2.6x cheaper per token

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Ministral 3 (14B Reasoning 2512)
Mistral AI
Core performance indexes
LLM Stats Score
51.0
#15
20.3
#217
Reasoning
48.6
#18
20.3
#209
Coding
39.1
#15
11.0
#179
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.20 / M
Output price
$1.20 / M
$0.20 / M
Context window
1,048,576
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4.1-Flash-1017
Ministral 3 (14B Reasoning 2512)
Math
31.8#67
21.0#161
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 4 for Ministral 3 (14B Reasoning 2512)

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Ministral 3 (14B Reasoning 2512)don'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

Ministral 3 (14B Reasoning 2512) costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 1.5x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 6.0x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than Ministral 3 (14B Reasoning 2512).*

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

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

749.2B diff

DeepSeek-V4.1-Flash-1017 has 749.2B more parameters than Ministral 3 (14B Reasoning 2512), making it 5351.5% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
14.0B
Ministral 3 (14B Reasoning 2512)

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to Ministral 3 (14B Reasoning 2512)'s 262,100 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while Ministral 3 (14B Reasoning 2512) is limited to 262,100 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Ministral 3 (14B Reasoning 2512) support multimodal inputs.

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

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Ministral 3 (14B Reasoning 2512) uses Apache 2.0.

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

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Ministral 3 (14B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Ministral 3 (14B Reasoning 2512) was released on 2025-12-04.

DeepSeek-V4.1-Flash-1017 is 11 months newer than Ministral 3 (14B Reasoning 2512).

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

3 days ago

10mo newer
Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

10 months ago

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-1017 is available from DeepSeek. Ministral 3 (14B Reasoning 2512) is available from Mistral AI.

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Ministral 3 (14B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* 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-1017 and Ministral 3 (14B Reasoning 2512) side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Ministral 3 (14B Reasoning 2512)
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Ministral 3 (14B Reasoning 2512).

Which is better, DeepSeek-V4.1-Flash-1017 or Ministral 3 (14B Reasoning 2512)?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 20.3. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Ministral 3 (14B Reasoning 2512) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash-1017 compare to Ministral 3 (14B Reasoning 2512) in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Ministral 3 (14B Reasoning 2512)?

Ministral 3 (14B Reasoning 2512) is 1.5x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via mistral.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Ministral 3 (14B Reasoning 2512)?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Ministral 3 (14B Reasoning 2512) supports 262K 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-1017 and Ministral 3 (14B Reasoning 2512)?

Key differences include LLM Stats Score (51.0 vs 20.3), context window (1.0M vs 262K), input pricing ($0.30 vs $0.20/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Ministral 3 (14B Reasoning 2512)?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Ministral 3 (14B Reasoning 2512) is developed by Mistral AI.

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