Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Meta

Llama 4 Scout

Meta

Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

Mistral AI

Mistral Large 2

Mistral AI

Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral Large 2

Mistral AI

2024-07-24

Meta

Llama 4 Scout

Meta

2025-04-05

8 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 4 Scout

$7.62 cheaper
Input:$0.08
Output:$0.30
Mistral AI

Mistral Large 2

Input:$2.00
Output:$6.00

Performance Metrics

Context window and performance specifications

Meta

Llama 4 Scout

Larger context
Max Context:20.0M
Parameters:109.0B
Mistral AI

Mistral Large 2

Max Context:256.0K
Parameters:123.0B

Average performance across 1 common benchmarks

Meta

Llama 4 Scout

Average Score:79.6%
Mistral AI

Mistral Large 2

+4.4%
Average Score:84.0%

Performance comparison across key benchmark categories

Meta

Llama 4 Scout

math
70.5%
code
50.3%
general
66.3%
Mistral AI

Mistral Large 2

math
+22.5%
93.0%
code
+41.7%
92.0%
general
+17.1%
83.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 4 Scout

6 providers

Together

Throughput: 106.9 tok/s
Latency: 0.54ms

DeepInfra

Throughput: 76.1 tok/s
Latency: 0.31ms

Fireworks

Throughput: 116.1 tok/s
Latency: 0.53ms

Groq

Throughput: 776.1 tok/s
Latency: 1.08ms

Novita

Throughput: 69.82 tok/s
Latency: 0.85ms

Lambda

Throughput: 139.7 tok/s
Latency: 0.43ms
Mistral AI

Mistral Large 2

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Meta

Llama 4 Scout

Avg Score:79.6%
Providers:6
Mistral AI

Mistral Large 2

+4.4%
Avg Score:84.0%
Providers:2