Model Comparison

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

Meta

Llama 3.1 405B Instruct

Meta

Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Alibaba

Qwen2.5 VL 32B Instruct

Alibaba

Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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 2025, it represents Alibaba's latest advancement in AI technology.

Meta

Llama 3.1 405B Instruct

Meta

2024-07-23

Alibaba

Qwen2.5 VL 32B Instruct

Alibaba

2025-02-28

7 months newer

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 405B Instruct

Larger context
Max Context:256.0K
Parameters:405.0B
Alibaba

Qwen2.5 VL 32B Instruct

Max Context:-
Parameters:33.5B

Average performance across 5 common benchmarks

Meta

Llama 3.1 405B Instruct

+1.4%
Average Score:74.8%
Alibaba

Qwen2.5 VL 32B Instruct

Average Score:73.4%

Performance comparison across key benchmark categories

Meta

Llama 3.1 405B Instruct

code
81.4%
math
+22.3%
87.4%
general
+13.2%
73.2%
Alibaba

Qwen2.5 VL 32B Instruct

code
+6.3%
87.8%
math
65.1%
general
60.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.1 405B Instruct

8 providers

Together

Throughput: 35 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 40 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 27 tok/s
Latency: 0.5ms

Google

Throughput: 42 tok/s
Latency: 0.4ms

Fireworks

Throughput: 78 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Replicate

Throughput: 22 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5 VL 32B Instruct

0 providers
Meta

Llama 3.1 405B Instruct

+1.4%
Avg Score:74.8%
Providers:8
Alibaba

Qwen2.5 VL 32B Instruct

Avg Score:73.4%
Providers:0