Model Comparison

Llama 4 Scout vs Ministral 8B Instruct

Both models are evenly matched across the benchmarks. Ministral 8B Instruct is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

Both models are evenly matched across the benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Ministral 8B Instruct costs less

For input processing, Llama 4 Scout ($0.08/1M tokens) is 1.3x cheaper than Ministral 8B Instruct ($0.10/1M tokens).

For output processing, Llama 4 Scout ($0.30/1M tokens) is 3.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).

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

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

Lowest available price from all providers
Tue May 12 2026 • llm-stats.com
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Mistral AI
Ministral 8B Instruct
Input tokens$0.10
Output tokens$0.10
Best providerMistral
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Model Size

Parameter count comparison

101.0B diff

Llama 4 Scout has 101.0B more parameters than Ministral 8B Instruct, making it 1259.1% larger.

Meta
Llama 4 Scout
109.0Bparameters
Mistral AI
Ministral 8B Instruct
8.0Bparameters
109.0B
Llama 4 Scout
8.0B
Ministral 8B Instruct

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Ministral 8B Instruct's 128,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Ministral 8B Instruct is limited to 128,000 tokens.

Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas Ministral 8B Instruct does not.

Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 4 Scout

Text
Images
Audio
Video

Ministral 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Ministral 8B Instruct uses Mistral Research License.

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

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Ministral 8B Instruct

Mistral Research License

Open weights

Release Timeline

When each model was launched

Llama 4 Scout was released on 2025-04-05, while Ministral 8B Instruct was released on 2024-10-16.

Llama 4 Scout is 6 months newer than Ministral 8B Instruct.

Llama 4 Scout

Apr 5, 2025

1.1 years ago

5mo newer
Ministral 8B Instruct

Oct 16, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together. Ministral 8B Instruct is available from Mistral AI.

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

Ministral 8B Instruct

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Meta
Larger context window (10,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Higher MMLU score (79.6% vs 65.0%)
Mistral AI
Less expensive output tokens
Higher MATH score (54.5% vs 50.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 4 Scout
Mistral AI
Ministral 8B Instruct

FAQ

Common questions about Llama 4 Scout vs Ministral 8B Instruct.

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

Both models are evenly matched across the benchmarks. Llama 4 Scout is made by Meta and Ministral 8B 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 4 Scout compare to Ministral 8B Instruct in benchmarks?

Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%. Ministral 8B Instruct scores MT-Bench: 83.0%, Winogrande: 75.3%, ARC-C: 71.9%, Arena Hard: 70.9%, MBPP pass@1: 70.0%.

Is Llama 4 Scout cheaper than Ministral 8B Instruct?

Llama 4 Scout is 1.3x cheaper for input tokens. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra. Ministral 8B Instruct costs $0.10/M input and $0.10/M output via mistral.

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

Llama 4 Scout supports 10.0M tokens and Ministral 8B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 4 Scout and Ministral 8B Instruct?

Key differences include context window (10.0M vs 128K), input pricing ($0.08 vs $0.10/M), multimodal support (yes vs no), licensing (Llama 4 Community License Agreement vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 4 Scout and Ministral 8B Instruct?

Llama 4 Scout is developed by Meta and Ministral 8B Instruct is developed by Mistral AI.