Model Comparison

DeepSeek VL2 vs Mistral Small 3 24B Instruct

Comparing DeepSeek VL2 and Mistral Small 3 24B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Mistral Small 3 24B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
DeepSeek
DeepSeek VL2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Mistral Small 3 24B Instruct
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

3.0B diff

DeepSeek VL2 has 3.0B more parameters than Mistral Small 3 24B Instruct, making it 12.5% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Mistral AI
Mistral Small 3 24B Instruct
24.0Bparameters
27.0B
DeepSeek VL2
24.0B
Mistral Small 3 24B Instruct

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to Mistral Small 3 24B Instruct's 32,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Mistral Small 3 24B Instruct is limited to 32,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Mistral AI
Mistral Small 3 24B Instruct
Input32,000 tokens
Output32,000 tokens
Mon Apr 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

Mistral Small 3 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Mistral Small 3 24B Instruct uses Apache 2.0.

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

DeepSeek VL2

deepseek

Open weights

Mistral Small 3 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Mistral Small 3 24B Instruct was released on 2025-01-30.

Mistral Small 3 24B Instruct is 2 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

Mistral Small 3 24B Instruct

Jan 30, 2025

1.2 years ago

1mo newer

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while DeepSeek VL2's cutoff date is not specified.

We can confirm Mistral Small 3 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

Mistral Small 3 24B Instruct

Oct 2023

Provider Availability

DeepSeek VL2 is available from Replicate. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.

DeepSeek VL2

replicate logo
Replicate

Mistral Small 3 24B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (129,280 tokens)
Supports multimodal inputs
Mistral AI

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Mistral AI
Mistral Small 3 24B Instruct

FAQ

Common questions about DeepSeek VL2 vs Mistral Small 3 24B Instruct

DeepSeek VL2 (DeepSeek) and Mistral Small 3 24B Instruct (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Mistral Small 3 24B Instruct scores Arena Hard: 87.6%, HumanEval: 84.8%, MT-Bench: 83.5%, IFEval: 82.9%, MATH: 70.6%.
DeepSeek VL2 supports 129K tokens and Mistral Small 3 24B Instruct supports 32K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (129K vs 32K), multimodal support (yes vs no), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 is developed by DeepSeek and Mistral Small 3 24B Instruct is developed by Mistral AI.