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Llama 3.3 70B Instruct vs Mistral Small 3.2 24B Instruct

Llama 3.3 70B Instruct shows notably better performance in the majority of benchmarks.

Meta · Mistral AI · Updated for 2026

Which is better?

Llama 3.3 70B Instruct outperforms in 3 benchmarks (GPQA, MATH, MMLU), while Mistral Small 3.2 24B Instruct is better at 1 benchmark (MMLU-Pro). Llama 3.3 70B Instruct shows notably better performance in the majority of benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Llama 3.3 70B Instruct

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks

Choose Mistral Small 3.2 24B Instruct

  • you want the most recent training data — it shipped Jun 2025

At a glance

The differences that matter most.

Llama 3.3 70B Instruct
Meta
Mistral Small 3.2 24B Instruct
Mistral AI
Benchmark wins
3 of 4
1 of 4
Input price
$0.20 / M
— / M
Output price
$0.20 / M
— / M
Context window
128,000
—
Released
Dec 2024
Jun 2025
License
Llama 3.3 Community License Agreement
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 3.3 70B Instruct outperforms in 3 benchmarks (GPQA, MATH, MMLU), while Mistral Small 3.2 24B Instruct is better at 1 benchmark (MMLU-Pro).

Llama 3.3 70B Instruct shows notably better performance in the majority of benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

46.4B diff

Llama 3.3 70B Instruct has 46.4B more parameters than Mistral Small 3.2 24B Instruct, making it 196.6% larger.

Meta
Llama 3.3 70B Instruct
70.0Bparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
70.0B
Llama 3.3 70B Instruct
23.6B
Mistral Small 3.2 24B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas Llama 3.3 70B 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 3.3 70B Instruct

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, 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 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.3 70B Instruct was released on 2024-12-06, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Mistral Small 3.2 24B Instruct is 7 months newer than Llama 3.3 70B Instruct.

Llama 3.3 70B Instruct

Dec 6, 2024

1.7 years ago

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.2 years ago

6mo newer

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Llama 3.3 70B Instruct's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Llama 3.3 70B Instruct's cutoff date.

Llama 3.3 70B Instruct

—

Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Llama 3.3 70B Instruct and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.

Llama 3.3 70B Instruct
✓ Preferred
Mistral Small 3.2 24B Instruct
Open in Playground

FAQ

Common questions about Llama 3.3 70B Instruct vs Mistral Small 3.2 24B Instruct.

Which is better, Llama 3.3 70B Instruct or Mistral Small 3.2 24B Instruct?

Llama 3.3 70B Instruct shows notably better performance in the majority of benchmarks. Llama 3.3 70B 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 3.3 70B Instruct compare to Mistral Small 3.2 24B Instruct in benchmarks?

Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. 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 3.3 70B Instruct and Mistral Small 3.2 24B Instruct?

Llama 3.3 70B Instruct supports 128K 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 3.3 70B Instruct and Mistral Small 3.2 24B Instruct?

Key differences include multimodal support (no vs yes), licensing (Llama 3.3 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.3 70B Instruct and Mistral Small 3.2 24B Instruct?

Llama 3.3 70B Instruct is developed by Meta and Mistral Small 3.2 24B Instruct is developed by Mistral AI.

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