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Llama 4 Scout vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 7.8. Llama 4 Scout is 7.6x cheaper per token.

Meta · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 7.8, ranking #34 overall.

On price, Llama 4 Scout is roughly 7.6x 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.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Llama 4 Scout

  • cost matters — it's about 7.6x cheaper per token
  • you process long inputs — it offers a 10,000,000 token context window
  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Llama 4 Scout
Meta
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
7.8
#299
46.2
#34
Reasoning
6.6
#302
44.0
#43
Coding
0.3
#255
35.8
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.08 / M
$0.68 / M
Output price
$0.30 / M
$2.09 / M
Context window
10,000,000
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Llama 4 Scout
Mistral Large 4
Vision
9.8#133
1.1#187
Multimodal
12.9#113
1.7#160
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Llama 4 Scout · 18 for Mistral Large 4

No common benchmarks found

Llama 4 Scout and Mistral Large 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

For input processing, Llama 4 Scout ($0.08/1M tokens) is 8.5x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, Llama 4 Scout ($0.30/1M tokens) is 7.0x cheaper than Mistral Large 4 ($2.09/1M tokens).

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

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

Lowest available price from all providers
Thu Oct 08 2026 • llm-stats.com
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

941.0B diff

Mistral Large 4 has 941.0B more parameters than Llama 4 Scout, making it 863.3% larger.

Meta
Llama 4 Scout
109.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
109.0B
Llama 4 Scout
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only Llama 4 Scout specifies output context (10,000,000 tokens).

Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Llama 4 Scout and Mistral Large 4 support multimodal inputs.

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

Llama 4 Scout

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Mistral Large 4 uses a proprietary 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 4

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 4 Scout was released on 2025-04-05, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 18 months newer than Llama 4 Scout.

Llama 4 Scout

Apr 5, 2025

1.5 years ago

Mistral Large 4

Oct 6, 2026

2 days ago

1.5yr newer

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 4 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

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Llama 4 Scout and Mistral Large 4 side-by-side, then vote on the output you prefer.

Llama 4 Scout
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Llama 4 Scout vs Mistral Large 4.

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

Mistral Large 4 leads the LLM Stats Score 46.2 to 7.8. Llama 4 Scout is made by Meta and Mistral Large 4 is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 4 Scout compare to Mistral Large 4 in benchmarks?

Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is Llama 4 Scout cheaper than Mistral Large 4?

Llama 4 Scout is 8.5x cheaper for input tokens. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

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

Llama 4 Scout supports 10.0M tokens and Mistral Large 4 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 4 Scout and Mistral Large 4?

Key differences include LLM Stats Score (7.8 vs 46.2), context window (10.0M vs 1.0M), input pricing ($0.08 vs $0.68/M), licensing (Llama 4 Community License Agreement vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 4 Scout and Mistral Large 4?

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

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