Model Comparison

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

OpenAI

GPT-4 Turbo

OpenAI

GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K 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.

Meta

Llama 4 Maverick

Meta

Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). The model shows particular specialization in vision tasks with an average performance of 75.8%. With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 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

GPT-4 Turbo

OpenAI

2024-04-09

Meta

Llama 4 Maverick

Meta

2025-04-05

12 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4 Turbo

Input:$10.00
Output:$30.00
Meta

Llama 4 Maverick

$39.23 cheaper
Input:$0.17
Output:$0.60

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4 Turbo

Max Context:132.1K
Meta

Llama 4 Maverick

Larger context
Max Context:2.0M
Parameters:400.0B

Average performance across 4 common benchmarks

OpenAI

GPT-4 Turbo

Average Score:73.9%
Meta

Llama 4 Maverick

+3.3%
Average Score:77.2%

Performance comparison across key benchmark categories

OpenAI

GPT-4 Turbo

code
+26.6%
87.1%
math
+4.8%
80.5%
general
+2.0%
73.5%
Meta

Llama 4 Maverick

code
60.5%
math
75.7%
general
71.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4 Turbo

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4 Turbo

2 providers

Azure

Throughput: 97 tok/s
Latency: 0.6ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Meta

Llama 4 Maverick

7 providers

Sambanova

Throughput: 638.7 tok/s
Latency: 2.04ms

Together

Throughput: 97.93 tok/s
Latency: 0.2ms

DeepInfra

Throughput: 83.59 tok/s
Latency: 0.38ms

Fireworks

Throughput: 63.03 tok/s
Latency: 0.62ms

Groq

Throughput: 307.3 tok/s
Latency: 0.27ms

Novita

Throughput: 69.42 tok/s
Latency: 0.62ms

Lambda

Throughput: 93.69 tok/s
Latency: 0.65ms
OpenAI

GPT-4 Turbo

Avg Score:73.9%
Providers:2
Meta

Llama 4 Maverick

+3.3%
Avg Score:77.2%
Providers:7