Model Comparison

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

Llama 3.2 3B Instruct

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). It supports a 387K 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 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Llama 3.2 3B Instruct

Pricing Comparison

Cost per million tokens (USD)

Llama 3.2 3B Instruct

$3.27 cheaper

Input:$0.01

Output:$0.02

Qwen3-235B-A22B-Thinking-2507

Input:$0.30

Output:$3.00

Performance Metrics

Context window and performance specifications

Llama 3.2 3B Instruct

Max Context:256.0K

Parameters:3.2B

Qwen3-235B-A22B-Thinking-2507

Larger context

Max Context:387.1K

Parameters:235.0B

Average performance across 2 common benchmarks

Llama 3.2 3B Instruct

Average Score:55.1%

Qwen3-235B-A22B-Thinking-2507

+29.4%

Average Score:84.5%

Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

code

+23.5%

77.4%

general

42.5%

reasoning

+9.3%

74.2%

math

+1.2%

61.3%

Qwen3-235B-A22B-Thinking-2507

code

53.9%

general

+34.9%

77.4%

reasoning

64.9%

math

60.1%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

Qwen3-235B-A22B-Thinking-2507

1 providers

Novita

Llama 3.2 3B Instruct

Avg Score:55.1%

Providers:1

Qwen3-235B-A22B-Thinking-2507

+29.4%

Avg Score:84.5%

Providers:1