Model Comparison

Llama 4 Scout vs Mistral Large 2

Mistral Large 2 significantly outperforms across most benchmarks. Llama 4 Scout is 22.2x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Llama 4 Scout outperforms in 0 benchmarks, while Mistral Large 2 is better at 1 benchmark (MMLU).

Mistral Large 2 significantly outperforms across most benchmarks.

Thu Jun 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

For input processing, Llama 4 Scout ($0.08/1M tokens) is 25.0x cheaper than Mistral Large 2 ($2.00/1M tokens).

For output processing, Llama 4 Scout ($0.30/1M tokens) is 20.0x cheaper than Mistral Large 2 ($6.00/1M tokens).

In conclusion, Mistral Large 2 is more expensive than Llama 4 Scout.*

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

Lowest available price from all providers
Thu Jun 04 2026 • llm-stats.com
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

14.0B diff

Mistral Large 2 has 14.0B more parameters than Llama 4 Scout, making it 12.8% larger.

Meta
Llama 4 Scout
109.0Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
109.0B
Llama 4 Scout
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Mistral Large 2's 128,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Mistral Large 2 is limited to 128,000 tokens.

Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Thu Jun 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas Mistral Large 2 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

Mistral Large 2

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Mistral Large 2 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

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Llama 4 Scout was released on 2025-04-05, while Mistral Large 2 was released on 2024-07-24.

Llama 4 Scout is 9 months newer than Mistral Large 2.

Llama 4 Scout

Apr 5, 2025

1.2 years ago

8mo newer
Mistral Large 2

Jul 24, 2024

1.9 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. Mistral Large 2 is available from Google, 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

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Larger context window (10,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Mistral AI
Higher MMLU score (84.0% vs 79.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 4 Scout
Mistral AI
Mistral Large 2

FAQ

Common questions about Llama 4 Scout vs Mistral Large 2.

Which is better, Llama 4 Scout or Mistral Large 2?

Mistral Large 2 significantly outperforms across most benchmarks. Llama 4 Scout is made by Meta and Mistral Large 2 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 Mistral Large 2 in benchmarks?

Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

Is Llama 4 Scout cheaper than Mistral Large 2?

Llama 4 Scout is 25.0x cheaper for input tokens. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra. Mistral Large 2 costs $2.00/M input and $6.00/M output via google.

What are the context window sizes for Llama 4 Scout and Mistral Large 2?

Llama 4 Scout supports 10.0M tokens and Mistral Large 2 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 Mistral Large 2?

Key differences include context window (10.0M vs 128K), input pricing ($0.08 vs $2.00/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 Mistral Large 2?

Llama 4 Scout is developed by Meta and Mistral Large 2 is developed by Mistral AI.