Model Comparison

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

Anthropic

Claude Sonnet 4.5

Anthropic

Claude Sonnet 4.5 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 78.0% across 10 benchmarks. It excels particularly in Tau2 Telecom (98.0%), MMMLU (89.1%), AIME 2025 (87.0%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

QwQ-32B-Preview

Alibaba Cloud / Qwen Team

QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

QwQ-32B-Preview

Alibaba Cloud / Qwen Team

2024-11-28

Anthropic

Claude Sonnet 4.5

Anthropic

2025-09-29

10 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Sonnet 4.5

Input:$3.00
Output:$15.00
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

$17.65 cheaper
Input:$0.15
Output:$0.20

Performance Metrics

Context window and performance specifications

Anthropic

Claude Sonnet 4.5

Larger context
Max Context:264.0K
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

Max Context:65.5K
Parameters:32.5B

Average performance across 13 common benchmarks

Anthropic

Claude Sonnet 4.5

+40.3%
Average Score:60.0%
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

Average Score:19.7%

Performance comparison across key benchmark categories

Anthropic

Claude Sonnet 4.5

math
87.0%
general
+20.4%
78.0%
code
50.0%
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

math
+3.6%
90.6%
general
57.6%
code
50.0%
Knowledge Cutoff
Training data recency comparison

QwQ-32B-Preview

2024-11-28

Claude Sonnet 4.5

2025-01-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude Sonnet 4.5

2 providers

Anthropic

Throughput: 42 tok/s
Latency: 0.4ms

ZeroEval

Throughput: 42 tok/s
Latency: 0.4ms
Alibaba Cloud / Qwen Team

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
Anthropic

Claude Sonnet 4.5

+40.3%
Avg Score:60.0%
Providers:2
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

Avg Score:19.7%
Providers:4