Model Comparison

DeepSeek-V4-Flash-0731 vs Mistral Small 3 24B BaseWhich is better in 2026?

Comparing DeepSeek-V4-Flash-0731 and Mistral Small 3 24B Base across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V4-Flash-0731 vs Mistral Small 3 24B Base — which is better?

DeepSeek-V4-Flash-0731 (by DeepSeek) and Mistral Small 3 24B Base (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek-V4-Flash-0731 if…

  • you want the most recent training data — it shipped Jul 2026

Choose Mistral Small 3 24B Base if…

  • you are already invested in the Mistral AI ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Flash-0731 and Mistral Small 3 24B Basedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

280.4B diff

DeepSeek-V4-Flash-0731 has 280.4B more parameters than Mistral Small 3 24B Base, making it 1188.1% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
304.0B
DeepSeek-V4-Flash-0731
23.6B
Mistral Small 3 24B Base

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-0731 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0731 specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Mon Aug 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3 24B Base supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.

Mistral Small 3 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Flash-0731

Text
Images
Audio
Video

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 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-Flash-0731

MIT

Open weights

Mistral Small 3 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Mistral Small 3 24B Base was released on 2025-01-30.

DeepSeek-V4-Flash-0731 is 18 months newer than Mistral Small 3 24B Base.

DeepSeek-V4-Flash-0731

Jul 31, 2026

3 days ago

1.5yr newer
Mistral Small 3 24B Base

Jan 30, 2025

1.5 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-Flash-0731'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-Flash-0731's cutoff date.

DeepSeek-V4-Flash-0731

—

Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (1,048,576 tokens)
Mistral AI
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and Mistral Small 3 24B Base side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Mistral Small 3 24B Base
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Flash-0731
Mistral AI
Mistral Small 3 24B Base

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Mistral Small 3 24B Base.

Which is better, DeepSeek-V4-Flash-0731 or Mistral Small 3 24B Base?

DeepSeek-V4-Flash-0731 (DeepSeek) and Mistral Small 3 24B Base (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Flash-0731 compare to Mistral Small 3 24B Base in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. 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-Flash-0731 and Mistral Small 3 24B Base?

DeepSeek-V4-Flash-0731 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-Flash-0731 and Mistral Small 3 24B Base?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and Mistral Small 3 24B Base?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Mistral Small 3 24B Base is developed by Mistral AI.

Related comparisons