Model Comparison

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

Meta

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.

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.

Meta

Llama 3.2 3B Instruct

Meta

2024-09-25

Alibaba

Qwen3 235B A22B

Alibaba

2025-04-29

7 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.2 3B Instruct

$0.17 cheaper
Input:$0.01
Output:$0.02
Alibaba

Qwen3 235B A22B

Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Meta

Llama 3.2 3B Instruct

Max Context:256.0K
Parameters:3.2B
Alibaba

Qwen3 235B A22B

Max Context:256.0K
Parameters:235.0B

Average performance across 5 common benchmarks

Meta

Llama 3.2 3B Instruct

Average Score:56.0%
Alibaba

Qwen3 235B A22B

+21.0%
Average Score:77.0%

Performance comparison across key benchmark categories

Meta

Llama 3.2 3B Instruct

math
61.3%
code
+0.8%
77.4%
general
42.5%
Alibaba

Qwen3 235B A22B

math
+22.0%
83.3%
code
76.6%
general
+32.3%
74.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s
Latency: 0.24ms
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
Meta

Llama 3.2 3B Instruct

Avg Score:56.0%
Providers:1
Alibaba

Qwen3 235B A22B

+21.0%
Avg Score:77.0%
Providers:4