Model Comparison

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

Llama 4 Scout

Meta

Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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 4 Scout

Performance Metrics

Context window and performance specifications

Llama 4 Scout

Larger context

Max Context:20.0M

Parameters:109.0B

Qwen3-Next-80B-A3B-Base

Max Context:-

Parameters:80.0B

Average performance across 12 common benchmarks

Llama 4 Scout

+67.3%

Average Score:67.3%

Qwen3-Next-80B-A3B-Base

Average Score:0.0%

Provider Availability & Performance

Available providers and their performance metrics

Llama 4 Scout

6 providers

Together

Throughput: 106.9 tok/s

Latency: 0.54ms

DeepInfra

Throughput: 76.1 tok/s

Latency: 0.31ms

Fireworks

Throughput: 116.1 tok/s

Latency: 0.53ms

Groq

Throughput: 776.1 tok/s

Latency: 1.08ms

Novita

Throughput: 69.82 tok/s

Latency: 0.85ms

Lambda

Throughput: 139.7 tok/s

Latency: 0.43ms

Qwen3-Next-80B-A3B-Base

0 providers

Llama 4 Scout

+67.3%

Avg Score:67.3%

Providers:6

Qwen3-Next-80B-A3B-Base

Avg Score:0.0%

Providers:0