Model Comparison

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

Mistral AI

Pixtral Large

Mistral AI

Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). The model shows particular specialization in general tasks with an average performance of 91.0%. It supports a 256K 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. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Alibaba

QwQ-32B-Preview

Alibaba

QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Mistral AI

Pixtral Large

Mistral AI

2024-11-18

Alibaba

QwQ-32B-Preview

Alibaba

2024-11-28

10 days newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Pixtral Large

Input:$2.00
Output:$6.00
Alibaba

QwQ-32B-Preview

$7.65 cheaper
Input:$0.15
Output:$0.20

Performance Metrics

Context window and performance specifications

Mistral AI

Pixtral Large

Larger context
Max Context:256.0K
Parameters:124.0B
Alibaba

QwQ-32B-Preview

Max Context:65.5K
Parameters:32.5B

Performance comparison across key benchmark categories

Mistral AI

Pixtral Large

general
+33.3%
91.0%
math
69.4%
Alibaba

QwQ-32B-Preview

general
57.6%
math
+21.2%
90.6%
Knowledge Cutoff
Training data recency comparison

QwQ-32B-Preview

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Pixtral Large

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Alibaba

QwQ-32B-Preview

4 providers

Together

Throughput: 62.14 tok/s
Latency: 0.74ms

Hyperbolic

Throughput: 31.9 tok/s
Latency: 1.05ms

DeepInfra

Throughput: 76.04 tok/s
Latency: 0.44ms

Fireworks

Throughput: 99.15 tok/s
Latency: 0.53ms
Mistral AI

Pixtral Large

Avg Score:0.0%
Providers:1
Alibaba

QwQ-32B-Preview

Avg Score:0.0%
Providers:4