Model Comparison

Granite 3.3 8B Instruct vs Llama 4 Scout

Llama 4 Scout significantly outperforms across most benchmarks. Llama 4 Scout is 3.7x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Granite 3.3 8B Instruct outperforms in 0 benchmarks, while Llama 4 Scout is better at 1 benchmark (MMLU).

Llama 4 Scout significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

For input processing, Granite 3.3 8B Instruct ($0.50/1M tokens) is 6.3x more expensive than Llama 4 Scout ($0.08/1M tokens).

For output processing, Granite 3.3 8B Instruct ($0.50/1M tokens) is 1.7x more expensive than Llama 4 Scout ($0.30/1M tokens).

In conclusion, Granite 3.3 8B Instruct is more expensive than Llama 4 Scout.*

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

Lowest available price from all providers
Thu May 14 2026 • llm-stats.com
IBM
Granite 3.3 8B Instruct
Input tokens$0.50
Output tokens$0.50
Best providerReplicate
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

101.0B diff

Llama 4 Scout has 101.0B more parameters than Granite 3.3 8B Instruct, making it 1262.5% larger.

IBM
Granite 3.3 8B Instruct
8.0Bparameters
Meta
Llama 4 Scout
109.0Bparameters
8.0B
Granite 3.3 8B 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 Granite 3.3 8B Instruct's 128,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.

IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Granite 3.3 8B Instruct and Llama 4 Scout support multimodal inputs.

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

Granite 3.3 8B Instruct

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Granite 3.3 8B Instruct is licensed under Apache 2.0, 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.

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Granite 3.3 8B Instruct was released on 2025-04-16, while Llama 4 Scout was released on 2025-04-05.

Granite 3.3 8B Instruct is 0 month newer than Llama 4 Scout.

Granite 3.3 8B Instruct

Apr 16, 2025

1.1 years ago

1w newer
Llama 4 Scout

Apr 5, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while Llama 4 Scout's cutoff date is not specified.

We can confirm Granite 3.3 8B Instruct's training data extends to 2024-04-01, but cannot make a direct comparison without Llama 4 Scout's cutoff date.

Granite 3.3 8B Instruct

Apr 2024

Llama 4 Scout

Provider Availability

Granite 3.3 8B Instruct is available from Replicate. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.

Granite 3.3 8B Instruct

replicate logo
Replicate
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M

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

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Key Takeaways

No standout differentiators in the data we have for this pair.

Larger context window (10,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher MMLU score (79.6% vs 65.5%)

Detailed Comparison

AI Model Comparison Table
Feature
IBM
Granite 3.3 8B Instruct
Meta
Llama 4 Scout

FAQ

Common questions about Granite 3.3 8B Instruct vs Llama 4 Scout.

Which is better, Granite 3.3 8B Instruct or Llama 4 Scout?

Llama 4 Scout significantly outperforms across most benchmarks. Granite 3.3 8B Instruct is made by IBM 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 Granite 3.3 8B Instruct compare to Llama 4 Scout in benchmarks?

Granite 3.3 8B Instruct scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, GSM8k: 80.9%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

Is Granite 3.3 8B Instruct cheaper than Llama 4 Scout?

Llama 4 Scout is 6.3x cheaper for input tokens. Granite 3.3 8B Instruct costs $0.50/M input and $0.50/M output via replicate. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.

What are the context window sizes for Granite 3.3 8B Instruct and Llama 4 Scout?

Granite 3.3 8B 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 Granite 3.3 8B Instruct and Llama 4 Scout?

Key differences include context window (128K vs 10.0M), input pricing ($0.50 vs $0.08/M), licensing (Apache 2.0 vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Granite 3.3 8B Instruct and Llama 4 Scout?

Granite 3.3 8B Instruct is developed by IBM and Llama 4 Scout is developed by Meta.