Model Comparison

Llama 3.1 8B Instruct vs Mistral Small 3.2 24B InstructWhich is better in 2026?

Mistral Small 3.2 24B Instruct significantly outperforms across most benchmarks.

Verdict: Llama 3.1 8B Instruct vs Mistral Small 3.2 24B Instruct — which is better?

Llama 3.1 8B Instruct (by Meta) and Mistral Small 3.2 24B Instruct (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.

Llama 3.1 8B Instruct outperforms in 0 benchmarks, while Mistral Small 3.2 24B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro). Mistral Small 3.2 24B Instruct significantly outperforms across most benchmarks.

Choose Llama 3.1 8B Instruct if…

  • you want predictable pricing at $0.03/M input and $0.03/M output

Choose Mistral Small 3.2 24B Instruct if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 3.1 8B Instruct outperforms in 0 benchmarks, while Mistral Small 3.2 24B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Mistral Small 3.2 24B Instruct significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

15.6B diff

Mistral Small 3.2 24B Instruct 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 3.2 24B Instruct
23.6Bparameters
8.0B
Llama 3.1 8B Instruct
23.6B
Mistral Small 3.2 24B Instruct

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 3.2 24B Instruct
Input- tokens
Output- tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

Mistral Small 3.2 24B Instruct 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 3.2 24B Instruct

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 3.2 24B Instruct 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 3.2 24B Instruct

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 3.2 24B Instruct was released on 2025-06-20.

Mistral Small 3.2 24B Instruct is 11 months newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

2.0 years ago

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.1 years ago

11mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a knowledge cutoff of 2023-12-31, while Mistral Small 3.2 24B Instruct 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 3.2 24B Instruct (2023-10-01).

Llama 3.1 8B Instruct

Dec 2023

2 mo newer
Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Larger context window (131,072 tokens)
Mistral AI
Supports multimodal inputs
Higher GPQA score (46.1% vs 30.4%)
Higher MMLU score (80.5% vs 69.4%)
Higher MMLU-Pro score (69.1% vs 48.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.1 8B Instruct and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 8B Instruct
✓ Preferred
Mistral Small 3.2 24B Instruct
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.1 8B Instruct
Mistral AI
Mistral Small 3.2 24B Instruct

FAQ

Common questions about Llama 3.1 8B Instruct vs Mistral Small 3.2 24B Instruct.

Which is better, Llama 3.1 8B Instruct or Mistral Small 3.2 24B Instruct?

Mistral Small 3.2 24B Instruct significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is made by Meta and Mistral Small 3.2 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 3.1 8B Instruct compare to Mistral Small 3.2 24B Instruct in benchmarks?

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 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

What are the context window sizes for Llama 3.1 8B Instruct and Mistral Small 3.2 24B Instruct?

Llama 3.1 8B Instruct supports 131K tokens and Mistral Small 3.2 24B Instruct 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 Llama 3.1 8B Instruct and Mistral Small 3.2 24B Instruct?

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.

Who makes Llama 3.1 8B Instruct and Mistral Small 3.2 24B Instruct?

Llama 3.1 8B Instruct is developed by Meta and Mistral Small 3.2 24B Instruct is developed by Mistral AI.

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