Model Comparison

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

Alibaba

Qwen3 235B A22B

Alibaba

Qwen3 235B A22B is a language model developed by Alibaba. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). The model shows particular specialization in math tasks with an average performance of 83.3%. It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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

QwQ-32B-Preview

Alibaba

2024-11-28

Alibaba

Qwen3 235B A22B

Alibaba

2025-04-29

5 months newer

Pricing Comparison

Cost per million tokens (USD)

Alibaba

Qwen3 235B A22B

$0.15 cheaper
Input:$0.10
Output:$0.10
Alibaba

QwQ-32B-Preview

Input:$0.15
Output:$0.20

Performance Metrics

Context window and performance specifications

Alibaba

Qwen3 235B A22B

Larger context
Max Context:256.0K
Parameters:235.0B
Alibaba

QwQ-32B-Preview

Max Context:65.5K
Parameters:32.5B

Average performance across 3 common benchmarks

Alibaba

Qwen3 235B A22B

+12.9%
Average Score:68.0%
Alibaba

QwQ-32B-Preview

Average Score:55.1%

Performance comparison across key benchmark categories

Alibaba

Qwen3 235B A22B

math
83.3%
code
+26.6%
76.6%
general
+17.2%
74.8%
Alibaba

QwQ-32B-Preview

math
+7.3%
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

Qwen3 235B A22B

4 providers

Together

Throughput: 23.74 tok/s
Latency: 0.79ms

DeepInfra

Throughput: 21.74 tok/s
Latency: 1.23ms

Fireworks

Throughput: 68.17 tok/s
Latency: 0.78ms

Novita

Throughput: 38.51 tok/s
Latency: 1.02ms
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

Qwen3 235B A22B

+12.9%
Avg Score:68.0%
Providers:4
Alibaba

QwQ-32B-Preview

Avg Score:55.1%
Providers:4