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 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 90B 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 90B Instruct

Input:$0.35
Output:$0.40
Alibaba

Qwen3 235B A22B

$0.55 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Meta

Llama 3.2 90B Instruct

Max Context:256.0K
Parameters:90.0B
Alibaba

Qwen3 235B A22B

Max Context:256.0K
Parameters:235.0B

Average performance across 4 common benchmarks

Meta

Llama 3.2 90B Instruct

Average Score:71.9%
Alibaba

Qwen3 235B A22B

+0.8%
Average Score:72.7%

Performance comparison across key benchmark categories

Meta

Llama 3.2 90B Instruct

math
70.7%
general
73.5%
Alibaba

Qwen3 235B A22B

math
+12.5%
83.3%
general
+1.3%
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 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 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 90B Instruct

Avg Score:71.9%
Providers:5
Alibaba

Qwen3 235B A22B

+0.8%
Avg Score:72.7%
Providers:4