Model Comparison

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

Meta

Llama 3.2 90B Instruct

Meta

Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.

Alibaba

Qwen3 32B

Alibaba

Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 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 90B Instruct

Meta

2024-09-25

Alibaba

Qwen3 32B

Alibaba

2025-04-29

7 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.2 90B Instruct

Input:$0.35
Output:$0.40
Alibaba

Qwen3 32B

$0.35 cheaper
Input:$0.10
Output:$0.30

Performance Metrics

Context window and performance specifications

Meta

Llama 3.2 90B Instruct

Max Context:256.0K
Parameters:90.0B
Alibaba

Qwen3 32B

Max Context:256.0K
Parameters:32.8B

Performance comparison across key benchmark categories

Meta

Llama 3.2 90B Instruct

general
73.5%
Alibaba

Qwen3 32B

general
+0.1%
73.6%

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.2 90B Instruct

5 providers

Together

Throughput: 57 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 42 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 24 tok/s
Latency: 0.5ms

Fireworks

Throughput: 50 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

Qwen3 32B

3 providers

Sambanova

Throughput: 327.7 tok/s
Latency: 1.08ms

DeepInfra

Throughput: 26.95 tok/s
Latency: 1.19ms

Novita

Throughput: 32.43 tok/s
Latency: 0.93ms
Meta

Llama 3.2 90B Instruct

Avg Score:0.0%
Providers:5
Alibaba

Qwen3 32B

Avg Score:0.0%
Providers:3