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.

OpenAI

o1

OpenAI

o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

o1

OpenAI

2024-12-17

Meta

Llama 4 Scout

Meta

2025-04-05

3 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 4 Scout

$74.62 cheaper
Input:$0.08
Output:$0.30
OpenAI

o1

Input:$15.00
Output:$60.00

Performance Metrics

Context window and performance specifications

Meta

Llama 4 Scout

Larger context
Max Context:20.0M
Parameters:109.0B
OpenAI

o1

Max Context:300.0K

Average performance across 6 common benchmarks

Meta

Llama 4 Scout

Average Score:69.6%
OpenAI

o1

+14.5%
Average Score:84.1%

Performance comparison across key benchmark categories

Meta

Llama 4 Scout

code
50.3%
vision
+4.3%
81.9%
math
70.5%
general
66.3%
OpenAI

o1

code
+37.8%
88.1%
vision
77.6%
math
+1.5%
72.0%
general
+5.6%
71.8%
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
OpenAI

o1

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
Meta

Llama 4 Scout

Avg Score:69.6%
Providers:6
OpenAI

o1

+14.5%
Avg Score:84.1%
Providers:2