Model Comparison

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

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.

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base is a language model developed by Alibaba Cloud / Qwen Team. 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 90B Instruct

Performance Metrics

Context window and performance specifications

Llama 3.2 90B Instruct

Larger context

Max Context:256.0K

Parameters:90.0B

Qwen3-Next-80B-A3B-Base

Max Context:-

Parameters:80.0B

Average performance across 13 common benchmarks

Llama 3.2 90B Instruct

+71.3%

Average Score:71.3%

Qwen3-Next-80B-A3B-Base

Average Score:0.0%

Provider Availability & Performance

Available providers and their performance metrics

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

Qwen3-Next-80B-A3B-Base

0 providers

Llama 3.2 90B Instruct

+71.3%

Avg Score:71.3%

Providers:5

Qwen3-Next-80B-A3B-Base

Avg Score:0.0%

Providers:0