Model Comparison

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

Llama 3.2 3B Instruct

Meta

Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Llama 3.2 3B Instruct

Performance Metrics

Context window and performance specifications

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Qwen3-235B-A22B-Instruct-2507

Max Context:-

Parameters:235.0B

Average performance across 2 common benchmarks

Llama 3.2 3B Instruct

Average Score:55.1%

Qwen3-235B-A22B-Instruct-2507

+28.0%

Average Score:83.1%

Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

code

+7.2%

77.4%

reasoning

+5.8%

74.2%

general

42.5%

math

+11.1%

61.3%

Qwen3-235B-A22B-Instruct-2507

code

70.3%

reasoning

68.4%

general

+31.2%

73.7%

math

50.2%

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-Instruct-2507

0 providers

Llama 3.2 3B Instruct

Avg Score:55.1%

Providers:1

Qwen3-235B-A22B-Instruct-2507

+28.0%

Avg Score:83.1%

Providers:0