The AI arena is free today

Open Superagent

DeepSeek-V4.1-Flash-1017 vs Mistral Small 3 24B Base

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to -0.6.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to -0.6, ranking #15 overall.

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 — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Mistral Small 3 24B Base

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Mistral Small 3 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
51.0
#15
-0.6
#351
Reasoning
48.6
#18
-0.6
#345
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4.1-Flash-1017
Mistral Small 3 24B Base
Math
31.8#67
4.5#292
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 9 for Mistral Small 3 24B Base

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Mistral Small 3 24B Basedon'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

Model Size

Parameter count comparison

739.6B diff

DeepSeek-V4.1-Flash-1017 has 739.6B more parameters than Mistral Small 3 24B Base, making it 3133.9% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
23.6B
Mistral Small 3 24B Base

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Mistral Small 3 24B Base 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

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Mistral Small 3 24B Base 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

Mistral Small 3 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Mistral Small 3 24B Base was released on 2025-01-30.

DeepSeek-V4.1-Flash-1017 is 21 months newer than Mistral Small 3 24B Base.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

0 days ago

1.7yr newer
Mistral Small 3 24B Base

Jan 30, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while DeepSeek-V4.1-Flash-1017's cutoff date is not specified.

We can confirm Mistral Small 3 24B Base's training data extends to 2023-10-01, but cannot make a direct comparison without DeepSeek-V4.1-Flash-1017's cutoff date.

DeepSeek-V4.1-Flash-1017

—

Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Mistral Small 3 24B Base side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Mistral Small 3 24B Base
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Mistral Small 3 24B Base.

Which is better, DeepSeek-V4.1-Flash-1017 or Mistral Small 3 24B Base?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to -0.6. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Mistral Small 3 24B Base 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 Mistral Small 3 24B Base 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%. Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Mistral Small 3 24B Base?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Mistral Small 3 24B Base supports an unknown number of 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 Mistral Small 3 24B Base?

Key differences include LLM Stats Score (51.0 vs -0.6), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Mistral Small 3 24B Base?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Mistral Small 3 24B Base is developed by Mistral AI.

Related comparisons