Model Comparison

Llama 3.2 11B Instruct vs Llama 4 ScoutWhich is better in 2026?

Llama 4 Scout significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is 2.7x cheaper per token.

Verdict: Llama 3.2 11B Instruct vs Llama 4 Scout — which is better?

Llama 3.2 11B Instruct (by Meta) and Llama 4 Scout (by Meta) 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 3.2 11B Instruct outperforms in 1 benchmarks (MATH), while Llama 4 Scout is better at 7 benchmarks (ChartQA, DocVQA, GPQA, MathVista, MGSM, MMLU, MMMU). Llama 4 Scout significantly outperforms across most benchmarks.

On price, Llama 3.2 11B Instruct is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Llama 3.2 11B Instruct if…

  • cost matters — it's about 2.7x cheaper per token

Choose Llama 4 Scout if…

  • you want the strongest raw capability — it leads on 7 of 8 shared benchmarks
  • you process long inputs — it offers a 10,000,000 token context window
  • you want the most recent training data — it shipped Apr 2025

Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Llama 3.2 11B Instruct outperforms in 1 benchmarks (MATH), while Llama 4 Scout is better at 7 benchmarks (ChartQA, DocVQA, GPQA, MathVista, MGSM, MMLU, MMMU).

Llama 4 Scout significantly outperforms across most benchmarks.

Sun Jul 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 11B Instruct costs less

For input processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 1.6x cheaper than Llama 4 Scout ($0.08/1M tokens).

For output processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 6.0x cheaper than Llama 4 Scout ($0.30/1M tokens).

In conclusion, Llama 4 Scout is more expensive than Llama 3.2 11B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Jul 19 2026 • llm-stats.com
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

98.4B diff

Llama 4 Scout has 98.4B more parameters than Llama 3.2 11B Instruct, making it 928.3% larger.

Meta
Llama 3.2 11B Instruct
10.6Bparameters
Meta
Llama 4 Scout
109.0Bparameters
10.6B
Llama 3.2 11B Instruct
109.0B
Llama 4 Scout

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Llama 3.2 11B Instruct's 128,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Llama 3.2 11B Instruct is limited to 128,000 tokens.

Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Sun Jul 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 3.2 11B Instruct and Llama 4 Scout support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Llama 3.2 11B Instruct

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while Llama 4 Scout uses Llama 4 Community License Agreement.

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

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Llama 3.2 11B Instruct was released on 2024-09-25, while Llama 4 Scout was released on 2025-04-05.

Llama 4 Scout is 6 months newer than Llama 3.2 11B Instruct.

Llama 3.2 11B Instruct

Sep 25, 2024

1.8 years ago

Llama 4 Scout

Apr 5, 2025

1.3 years ago

6mo newer

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Llama 4 Scout's cutoff date is not specified.

We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Llama 4 Scout's cutoff date.

Llama 3.2 11B Instruct

Dec 2023

Llama 4 Scout

—

Provider Availability

Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.

Llama 3.2 11B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
sambanova logo
Sambanova
Input Price:Input: $0.15/1MOutput Price:Output: $0.30/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.16/1MOutput Price:Output: $0.16/1M
groq logo
Groq
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Llama 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Less expensive input tokens
Less expensive output tokens
Higher MATH score (51.9% vs 50.3%)
Meta
Larger context window (10,000,000 tokens)
Higher ChartQA score (88.8% vs 83.4%)
Higher DocVQA score (94.4% vs 88.4%)
Higher GPQA score (57.2% vs 32.8%)
Higher MathVista score (70.7% vs 51.5%)
Higher MGSM score (90.6% vs 68.9%)
Higher MMLU score (79.6% vs 73.0%)
Higher MMMU score (69.4% vs 50.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.2 11B Instruct and Llama 4 Scout side-by-side, then vote on the output you prefer.

Llama 3.2 11B Instruct
✓ Preferred
Llama 4 Scout
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.2 11B Instruct
Meta
Llama 4 Scout

FAQ

Common questions about Llama 3.2 11B Instruct vs Llama 4 Scout.

Which is better, Llama 3.2 11B Instruct or Llama 4 Scout?

Llama 4 Scout significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is made by Meta and Llama 4 Scout is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 3.2 11B Instruct compare to Llama 4 Scout in benchmarks?

Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

Is Llama 3.2 11B Instruct cheaper than Llama 4 Scout?

Llama 3.2 11B Instruct is 1.6x cheaper for input tokens. Llama 3.2 11B Instruct costs $0.05/M input and $0.05/M output via deepinfra. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.

What are the context window sizes for Llama 3.2 11B Instruct and Llama 4 Scout?

Llama 3.2 11B Instruct supports 128K tokens and Llama 4 Scout supports 10.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.2 11B Instruct and Llama 4 Scout?

Key differences include context window (128K vs 10.0M), input pricing ($0.05 vs $0.08/M), licensing (Llama 3.2 Community License vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

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