Model Comparison

Llama 3.1 8B Instruct vs Mistral Small 3 24B Base

Mistral Small 3 24B Base significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 3.1 8B Instruct outperforms in 0 benchmarks, while Mistral Small 3 24B Base is better at 4 benchmarks (ARC-C, GPQA, MMLU, MMLU-Pro).

Mistral Small 3 24B Base significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Meta
Llama 3.1 8B Instruct
Input tokens$0.03
Output tokens$0.03
Best providerLambda
Mistral AI
Mistral Small 3 24B Base
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

15.6B diff

Mistral Small 3 24B Base has 15.6B more parameters than Llama 3.1 8B Instruct, making it 195.0% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
8.0B
Llama 3.1 8B Instruct
23.6B
Mistral Small 3 24B Base

Context Window

Maximum input and output token capacity

Only Llama 3.1 8B Instruct specifies input context (131,072 tokens). Only Llama 3.1 8B Instruct specifies output context (131,072 tokens).

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3 24B Base supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

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

Llama 3.1 8B Instruct

Text
Images
Audio
Video

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, 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.

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Mistral Small 3 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 8B Instruct was released on 2024-07-23, while Mistral Small 3 24B Base was released on 2025-01-30.

Mistral Small 3 24B Base is 6 months newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

1.7 years ago

Mistral Small 3 24B Base

Jan 30, 2025

1.2 years ago

6mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a knowledge cutoff of 2023-12-31, while Mistral Small 3 24B Base has a cutoff of 2023-10-01.

Llama 3.1 8B Instruct has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to Mistral Small 3 24B Base (2023-10-01).

Llama 3.1 8B Instruct

Dec 2023

2 mo newer
Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

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Key Takeaways

Meta
Larger context window (131,072 tokens)
Mistral AI
Supports multimodal inputs
Higher ARC-C score (91.3% vs 83.4%)
Higher GPQA score (34.4% vs 30.4%)
Higher MMLU score (80.7% vs 69.4%)
Higher MMLU-Pro score (54.4% vs 48.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.1 8B Instruct
Mistral AI
Mistral Small 3 24B Base

FAQ

Common questions about Llama 3.1 8B Instruct vs Mistral Small 3 24B Base

Mistral Small 3 24B Base significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is made by Meta and Mistral Small 3 24B Base is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%. Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%.
Llama 3.1 8B Instruct supports 131K 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.
Key differences include multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Llama 3.1 8B Instruct is developed by Meta and Mistral Small 3 24B Base is developed by Mistral AI.