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Llama 4 Scout vs Mistral Large 3 (675B Instruct 2512)

Llama 4 Scout and Mistral Large 3 (675B Instruct 2512) are closely matched at 7.8 and 9.0 on the LLM Stats Score. Llama 4 Scout is 5.6x cheaper per token.

Meta · Mistral AI · Updated for 2026

Which is better?

Llama 4 Scout and Mistral Large 3 (675B Instruct 2512) are closely matched on the overall LLM Stats Score at 7.8 and 9.0.

The models split the 2 individual benchmarks reported for both models evenly.

On price, Llama 4 Scout is roughly 5.6x 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 5.6x cheaper per token
  • you process long inputs — it offers a 10,000,000 token context window

Choose Mistral Large 3 (675B Instruct 2512)

  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

Llama 4 Scout
Meta
Mistral Large 3 (675B Instruct 2512)
Mistral AI
Core performance indexes
LLM Stats Score
7.8
#291
9.0
#279
Reasoning
6.6
#294
9.2
#273
Coding
0.4
#248
1.5
#239
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.08 / M
$0.50 / M
Output price
$0.30 / M
$1.50 / M
Context window
10,000,000
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama 4 Scout
Mistral Large 3 (675B Instruct 2512)
Math
12.8#233
18.9#175
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Llama 4 Scout · 5 for Mistral Large 3 (675B Instruct 2512)

2 shared

Llama 4 Scout outperforms in 1 benchmarks (GPQA), while Mistral Large 3 (675B Instruct 2512) is better at 1 benchmark (LiveCodeBench).

Both models are evenly matched across the benchmarks.

Fri Oct 02 2026 • llm-stats.com

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 6.3x cheaper than Mistral Large 3 (675B Instruct 2512) ($0.50/1M tokens).

For output processing, Llama 4 Scout ($0.30/1M tokens) is 5.0x cheaper than Mistral Large 3 (675B Instruct 2512) ($1.50/1M tokens).

In conclusion, Mistral Large 3 (675B Instruct 2512) is more expensive than Llama 4 Scout.*

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

Lowest available price from all providers
Fri Oct 02 2026 • llm-stats.com
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input tokens$0.50
Output tokens$1.50
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

566.0B diff

Mistral Large 3 (675B Instruct 2512) has 566.0B more parameters than Llama 4 Scout, making it 519.3% larger.

Meta
Llama 4 Scout
109.0Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512)
675.0Bparameters
109.0B
Llama 4 Scout
675.0B
Mistral Large 3 (675B Instruct 2512)

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Mistral Large 3 (675B Instruct 2512)'s 262,100 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Mistral Large 3 (675B Instruct 2512) is limited to 262,100 tokens.

Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Llama 4 Scout and Mistral Large 3 (675B Instruct 2512) 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 3 (675B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Mistral Large 3 (675B Instruct 2512) uses Apache 2.0.

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 3 (675B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 4 Scout was released on 2025-04-05, while Mistral Large 3 (675B Instruct 2512) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512) is 8 months newer than Llama 4 Scout.

Llama 4 Scout

Apr 5, 2025

1.5 years ago

Mistral Large 3 (675B Instruct 2512)

Dec 4, 2025

10 months ago

8mo 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 3 (675B Instruct 2512) 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 3 (675B Instruct 2512)

mistral logo
Mistral
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* 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 3 (675B Instruct 2512) side-by-side, then vote on the output you prefer.

Llama 4 Scout
✓ Preferred
Mistral Large 3 (675B Instruct 2512)
Open in Playground

FAQ

Common questions about Llama 4 Scout vs Mistral Large 3 (675B Instruct 2512).

Which is better, Llama 4 Scout or Mistral Large 3 (675B Instruct 2512)?

Llama 4 Scout and Mistral Large 3 (675B Instruct 2512) are closely matched on the LLM Stats Score at 7.8 and 9.0. Llama 4 Scout is made by Meta and Mistral Large 3 (675B Instruct 2512) 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 3 (675B Instruct 2512) in benchmarks?

Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%. Mistral Large 3 (675B Instruct 2512) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

Is Llama 4 Scout cheaper than Mistral Large 3 (675B Instruct 2512)?

Llama 4 Scout is 6.3x cheaper for input tokens. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra. Mistral Large 3 (675B Instruct 2512) costs $0.50/M input and $1.50/M output via mistral.

What are the context window sizes for Llama 4 Scout and Mistral Large 3 (675B Instruct 2512)?

Llama 4 Scout supports 10.0M tokens and Mistral Large 3 (675B Instruct 2512) supports 262K 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 3 (675B Instruct 2512)?

Key differences include LLM Stats Score (7.8 vs 9.0), context window (10.0M vs 262K), input pricing ($0.08 vs $0.50/M), licensing (Llama 4 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 4 Scout and Mistral Large 3 (675B Instruct 2512)?

Llama 4 Scout is developed by Meta and Mistral Large 3 (675B Instruct 2512) is developed by Mistral AI.

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