Model Comparison

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

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.

Alibaba

Qwen2.5 32B Instruct

Alibaba

Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 32B Instruct

Alibaba

2024-09-19

Meta

Llama 4 Maverick

Meta

2025-04-05

6 months newer

Performance Metrics

Context window and performance specifications

Meta

Llama 4 Maverick

Larger context
Max Context:2.0M
Parameters:400.0B
Alibaba

Qwen2.5 32B Instruct

Max Context:-
Parameters:32.5B

Average performance across 5 common benchmarks

Meta

Llama 4 Maverick

+1.1%
Average Score:74.9%
Alibaba

Qwen2.5 32B Instruct

Average Score:73.8%

Performance comparison across key benchmark categories

Meta

Llama 4 Maverick

math
75.7%
code
60.5%
general
+0.2%
71.5%
Alibaba

Qwen2.5 32B Instruct

math
+13.8%
89.5%
code
+12.5%
73.0%
general
71.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

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
Alibaba

Qwen2.5 32B Instruct

0 providers
Meta

Llama 4 Maverick

+1.1%
Avg Score:74.9%
Providers:7
Alibaba

Qwen2.5 32B Instruct

Avg Score:73.8%
Providers:0