Model Comparison

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

Mistral AI

Mistral Small 3.1 24B Base

Mistral AI

Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.

Alibaba

QwQ-32B-Preview

Alibaba

2024-11-28

Mistral AI

Mistral Small 3.1 24B Base

Mistral AI

2025-03-17

3 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Mistral Small 3.1 24B Base

Input:$0.10
Output:$0.30
Alibaba

QwQ-32B-Preview

$0.05 cheaper
Input:$0.15
Output:$0.20

Performance Metrics

Context window and performance specifications

Mistral AI

Mistral Small 3.1 24B Base

Larger context
Max Context:256.0K
Parameters:24.0B
Alibaba

QwQ-32B-Preview

Max Context:65.5K
Parameters:32.5B

Average performance across 1 common benchmarks

Mistral AI

Mistral Small 3.1 24B Base

Average Score:37.5%
Alibaba

QwQ-32B-Preview

+27.7%
Average Score:65.2%

Performance comparison across key benchmark categories

Mistral AI

Mistral Small 3.1 24B Base

general
+6.2%
63.8%
Alibaba

QwQ-32B-Preview

general
57.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
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

Mistral Small 3.1 24B Base

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
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

Mistral Small 3.1 24B Base

Avg Score:37.5%
Providers:1
Alibaba

QwQ-32B-Preview

+27.7%
Avg Score:65.2%
Providers:4