Model Comparison

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

Mistral Small

Mistral AI

Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

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 Small

Mistral AI

2024-09-17

QwQ-32B-Preview

Alibaba

2024-11-28

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral Small

Input:$0.20

Output:$0.60

QwQ-32B-Preview

$0.45 cheaper

Input:$0.15

Output:$0.20

Performance Metrics

Context window and performance specifications

Mistral Small

Max Context:65.5K

Parameters:22.0B

QwQ-32B-Preview

Max Context:65.5K

Parameters:32.5B

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 Small

1 providers

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

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 Small

Avg Score:0.0%

Providers:1

QwQ-32B-Preview

Avg Score:0.0%

Providers:4