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.

Mistral AI

Pixtral-12B

Mistral AI

Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). The model shows particular specialization in general tasks with an average performance of 75.5%. It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Pixtral-12B

Mistral AI

2024-09-17

Meta

Llama 4 Maverick

Meta

2025-04-05

6 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 4 Maverick

Input:$0.17
Output:$0.60
Mistral AI

Pixtral-12B

$0.47 cheaper
Input:$0.15
Output:$0.15

Performance Metrics

Context window and performance specifications

Meta

Llama 4 Maverick

Larger context
Max Context:2.0M
Parameters:400.0B
Mistral AI

Pixtral-12B

Max Context:136.2K
Parameters:12.4B

Average performance across 6 common benchmarks

Meta

Llama 4 Maverick

+13.0%
Average Score:79.7%
Mistral AI

Pixtral-12B

Average Score:66.7%

Performance comparison across key benchmark categories

Meta

Llama 4 Maverick

vision
+1.9%
75.8%
math
+22.7%
75.7%
general
71.5%
code
60.5%
Mistral AI

Pixtral-12B

vision
73.9%
math
53.0%
general
+4.0%
75.5%
code
+1.5%
62.0%
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
Mistral AI

Pixtral-12B

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Meta

Llama 4 Maverick

+13.0%
Avg Score:79.7%
Providers:7
Mistral AI

Pixtral-12B

Avg Score:66.7%
Providers:1