Model Comparison

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

Alibaba

Qwen2.5 7B Instruct

Alibaba

Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K token context window for handling large documents. The model is available through 1 API provider. 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

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

Qwen2.5 7B Instruct

Alibaba

2024-09-19

Alibaba

QwQ-32B-Preview

Alibaba

2024-11-28

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Alibaba

Qwen2.5 7B Instruct

Input:$0.30
Output:$0.30
Alibaba

QwQ-32B-Preview

$0.25 cheaper
Input:$0.15
Output:$0.20

Performance Metrics

Context window and performance specifications

Alibaba

Qwen2.5 7B Instruct

Larger context
Max Context:139.3K
Parameters:7.6B
Alibaba

QwQ-32B-Preview

Max Context:65.5K
Parameters:32.5B

Average performance across 2 common benchmarks

Alibaba

Qwen2.5 7B Instruct

Average Score:32.6%
Alibaba

QwQ-32B-Preview

+25.1%
Average Score:57.6%

Performance comparison across key benchmark categories

Alibaba

Qwen2.5 7B Instruct

math
83.5%
code
+16.0%
66.0%
general
+3.0%
60.6%
Alibaba

QwQ-32B-Preview

math
+7.1%
90.6%
code
50.0%
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

Alibaba

Qwen2.5 7B Instruct

1 providers

Together

Throughput: 138 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
Alibaba

Qwen2.5 7B Instruct

Avg Score:32.6%
Providers:1
Alibaba

QwQ-32B-Preview

+25.1%
Avg Score:57.6%
Providers:4